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Top 10 Artificial Intelligence Salary per month in India

09/06/202203/06/2022 by CBSEskilleducation

Artificial Intelligence Salary per month in India – Artificial intelligence is one of the top trending topics in the world today. There are already countless AI tools that can change the way you do your job, but there are also people whose lives have changed because of it. It’s estimated that there will be more than 2 million jobs for AI professionals by 2025. This is a lot of new positions that will be created.

Artificial Intelligence Salary per month in India

Scope of Artificial Intelligence in India

Artificial Intelligence Salary per month in India

Artificial Intelligence has a bright future in India. Artificial Intelligence has great potential to transform every sector of the economy for the greater good. AI encompasses a wide range of technologies, including self-improving algorithms, machine learning, big data, and pattern recognition, etc. There will soon be no industry or sector in India that is unaffected by this Artificial Intelligence. This is one of the reasons why Artificial Intelligence online courses are becoming increasingly popular in India.

What Skills Do I Need to Get a Job in Artificial Intelligence

Most artificial intelligence programmes are built on the foundation of computer technology and math knowledge. A bachelor’s degree is required for entry-level work, whereas master’s or doctoral degrees are usually required for supervisory, leadership, or administrative positions.

1. Math at various levels, such as probability, statistics, algebra, calculus, logic, and algorithms
2. Knowledge of the neural networks, Machine Learning, Data Science, or Deep Learning.
3. Engineering, Robotics Engineering, Degree or Master Degree in physics, Degree or Master Degree in mathematics.
4. Computer science, Information Technology, programming languages, or Python coding knowledge.
5. Theory of cognitive science.

Artificial Intelligence Salary in India

Artificial Intelligence Salary per month in India

The biggest challenge so far for the artificial intelligence industry in India is the talent shortage, which is expected to reach up to 1.5 million by the end of 2025. The shortage of talent has resulted in a huge gap between demand and supply, which is impacting the market growth.

The highest-paid AI professionals in the country earn over Rs. 3,00,000,000. This is not surprising, as India has the largest AI talent pool in the world. The country has nearly 6,00,000 AI professionals and graduates, which is almost 50% of the global AI talent pool.

1. Machine Learning Research Engineer / Machine Learning Engineer / Machine Learning and Artificial Intelligence (ML&AI)

Artificial Intelligence Salary per month in India

Salary – Rs. 350000 – Rs. 2120000 Annual

Key Responsibility

a. Working with structured and unstructured data to build Traditional and Deep-Learning based models
b. Explore multiple areas of AI research, old and new, and develop end-to-end ML pipelines to solve use cases
c. Build rapid prototypes and conduct detailed experimental studies to prove concepts in multiple ML domains like Computer-Vision, NLP, Reinforcement Learning etc., in a well defined time-bound environment
d. Work with Solution-Architects to build cutting edge solutions, benchmark various baselines and techniques
e. Document the knowledge gained and disseminate to broader audience in multiple formats, working on technical content creation and publication, in conjunction with content-team and program managers

Top Companies providing Artificial Intelligence Salary per month in India – Quantiphi, Zingg.AI, IEZAL, INDIAEXCITE, Yellow.ai, Ford Motor Company, IceCream Labs, HEAL Softwae Inc., Pranathi Software Services Pvt. Ltd, Relecura, CountMagic, Rapid Acceleration Partners, Braintrust, Sundus Recruitment and Outsourcing Services, Enterprise Bot, B2C Info Solutions, Datafoundry, Manipal Global Education Servies, Tata Consultancy Services, Apple, Samsung India, Molecular Connections, Officerio Private Limited etc.

2. AI Research Engineer / Artificial Intelligence R&D

Artificial Intelligence Salary per month in India

Salary – Rs. 350000 – Rs. 800000 Annual

Key Responsibility

a. Work Actively as a part of the Computer Vision and Deep Learning Team to Train Computer
Vision Models
b. Work Closely with the Data Sampling Team for Appropriate Dataset Collection
c. Work on Challenging Problem Statements to fine-tune models with Huge Dataset
d. Implementation of the SOTAArchitectures for Model Training
e. Proficient with Training of Detection/Classification/Segmentation Models with
Tensorflow/PyTorch
f. Good understanding of Dataset Quality for Computer Vision Applications.
g. Strong understanding of Model Training Dynamics. Should be able to find out the error and
resolve it based on training/eval metrics.
g. Good Theoretical and Practical Knowledge with the fundamentals of Deep Learning, eg. CNNs,
Regularization Techniques, etc.
i. Familiarity with State-of-the-Art Models like YOLO-series, Efficient Net/EfficientDet, etc.

Top Companies providing Artificial Intelligence Salary per month in India – Cloudstrats, IEZAL, Revca, VHM Consultants, Tata Consultancy Services, SkillVertex, LinkedIn, IBM, Accenture in India, RattleTech, EliteNotes, Eduroids, QpiAI, LeEyet – Techno Hub, Scienaptic AI etc.

3. Data Science Researcher / Data Scientist / Deep Learning Specialist (Data Scientist)

Artificial Intelligence Salary per month in India

Salary – Rs. 350000 – Rs. 800000 Annual

Key Responsibility

a. Strong foundation in data structures and algorithms
b. Advanced knowledge in performance, scalability, numerical accuracy and best practices for implementing various solutions.
c. Experience in different model optimization techniques apart from Hyperparameter tuning to reduce memory usage without hindering the performance for deploying on edge devices.
d. Experience in containers, Kubernetes on edge is a plus.
e. Working knowledge of JupyterLab / Jupyter notebooks

Top Companies providing Artificial Intelligence Salary per month in India –TotalAI System, Tata Consultancy Services, SISTIC Singapore, Societe Generale, IBM, EVERSANA, Walmart Global Tech India, HCL Software, Bert Labs, AIRA Matrix Private Limited, Enterprise Bot, ValueLabs, Fujitsu, Eduroids, Western Digital, Whatfix, Forage AI, Walmart Global Tech India, Wipro, OPTnation, Algoscale, Affine

4. Software Engineer – Python

Artificial Intelligence Salary per month in India

Salary – Rs. 200000 – Rs. 850000 Annual

Key Responsibility

a. Help design and implement functional requirements.

b. Have solid working knowledge of at least one or more Python web frameworks such as Flask, RESTful APIs etc…

c. Good familiarity with ORM (Object Relational Mapper) libraries.

d. Ability to integrate multiple data sources and databases into one system.

e. Understanding of the threading limitations of Python, and multi-process architecture.

f. Good understanding of server-side templating languages such as Jinja 2, Mako, etc…

g. Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

h. Understanding of accessibility and security compliance.

i. Good knowledge of user authentication and authorization between multiple systems, servers, and environments.

j. Working knowledge of scalable applications.

k. Familiarity with event-driven programming in Python.

l. Proficient understanding of code versioning tools such as Git, Mercurial or SVN.

m. Follow/maintain an agile methodology for delivering on project milestones.

n. Implement software enhancements and suggest improvements.

o. Excellent oral, presentation, and written communication skills.

p. Expertise in OOPS and design patterns will be an added advantage.

Sundus Recruitment and Outsourcing Services, Enterprise Bot, B2C Info Solutions, Datafoundry, Manipal Global Education Servies, Tata Consultancy Services, Apple, Samsung India, Molecular Connections, Officerio Private Limited etc.

5. Data Science Content Writer

Artificial Intelligence Salary per month in India

Salary – Rs. 230000 – Rs. 650000 Annual

Key Responsibility

a. Write articles on getting started with various machine learning techniques
b. Write articles on the latest developments in the AI landscape
c. Articulate news on various technology trends and developments

Top Companies providing Artificial Intelligence Salary per month in India – Analytics Drift, Leambay, Saras Analytics, Jupiter, Affine, TheMathCompany, TransOrg Analytics, Artivatic.ai, Bharat Arpanet etc.

6. Data Annotation

Artificial Intelligence Salary per month in India

Salary – Rs. 120000 – Rs. 550000 Annual

Key Responsibility

a. Use custom software to mark elements in the product image to support state-of-the-art computer vision efforts

b. Identify and analyze any bugs and errors found and document them for review

c. Handle manual tagging and annotate large volumes of documents to serve as input for the machine learning team

d. Assign text labels and draw bounding boxes around images

e. Create labeled datasets and curate images

f. Perform object detection, image classification, and draw polygons on a given set of images

Top Companies providing Artificial Intelligence Salary per month in India – Sizzle, JPMorgan Chase & Co, ClearFeed, Vernacular.ai, Frinksyn, NeurlOT Labs, Teamlease Services Limited, Aptiv, Skit, GFL Recruitment Private Limited, Scry Analytics, Telus International, Biz-Tech Analytics, SquadStack, Level AI,

Gfactors, Hirect, ANI Calls India Private Limited, Oracle Corporation, TELUS International, Varite India Private Limited, Qure.ai, Crossover Catalyst, Retech Labs, i3systtems pvt. ltd, Via Jobrapido, Aisera, Nanyat, Artivatic Data Labs Privatte Limited, SquadStack, Navayuga Infotech, JPMorgan etc.

7. Computer Vision Engineer

Artificial Intelligence Salary per month in India

Salary – Rs. 210000 – Rs. 1700000 Annual

Key Responsibility

a. Experience in Python (Unix as a development platform preferred)
b. Experience in TensorFlow / Keras
c. Preferred experience in Machine Learning Packages: Scikit-Learn, opencv
d. Must have worked on following models: RetinaNet, YOLO v4 / v5, UNet
e. Preferable to have worked on Full stack technologies like NodeJS, ReactJS, etc.
f. Must have experience to create pipelines for object detection

Top Companies providing Artificial Intelligence Salary per month in India – LENS Corporation, Shell, SwitchOn, ANI Calls India Private Limited, Adagrad AI, Kynea Solutions, Nayan India Science and technology, Yactraq Services LLP, ORBO, Digit7, Sparaxa Solutions Private Limited, GIBots, EyeROV,

AiBorne Tech, T2D2, Altimax Business Solutions, Bridge Gap Solutions, KoiReader Technologies, Qualcomm, Fynd, Adept Global, Cozy Corner Patios, IdeaForge, Sony India Software Centre Pvt. Ltd, TechVedika, Mercedes-Benz Research and Development, Motive, Artivatic.ai, Tonbo Imagin Pvt Ltd.

8. Artificial Intelligence Engineer – Google Cloud Professional

Artificial Intelligence Salary per month in India

Salary – Rs. 3000000 – Rs. 10000000 Annual

Key Responsibility

a. Implements DialogFlow and Kore and integrates to Conversations and customer systems
b. Deploys Docker container images
c. Performs AI/bot tuning/training as necessary
d. Provides high quality written documentation for As-Builts
e. Describes, in detail, all components of a Conversations environment and promptly handles most technical questions from customers without needing to perform research
f. Explores new features and gain experience with latest integrations
g. Provides internal feedback, documentation and training
h. Manages assigned ticket incidents to resolution
i. Available for on-call escalations in a defined rotation

Top Companies providing Artificial Intelligence Salary per month in India – Google, Accenture, CosMicIT Informatics India Private Limited, ANI Calls India Private Limited, Deloitte India, Locuz Enterprise Solutions Limited, LearningMate, Bosch Group, Atos, BT e-Serv India, Jobrapido, Valtech India, Jarspace, IBM, Kimberly-Clark etc.

9. Deep Learning Software Engineer

Artificial Intelligence Salary per month in India

Salary – Rs. 7000000 – Rs. 1200000 Annual

Key Responsibility

a. Have improved performance for one of the DL frameworks
b. Have implemented new model on one of the DL frameworks
c. Have ported a model from one DL framework to another
d. Have used existing model to improve state-of-art of empirical problem

Top Companies providing Artificial Intelligence Salary per month in India – Intel, Google, Pranathi Software Service Pvt Ltd, Intel, Apple, BlueOptima, NVIDIA, Siemens, Tookitaki, Scienaptic AI, Micron Technology, Uber, Qualcomm, Expedia Group, Info Edge, Motive, Deepen AI, Microsoft, Markov ML, Mott MacDonald, Cadence Design System, CloudAEye, RocketML, Zycus etc.

10. Research Scientist – NLP

Artificial Intelligence Salary per month in India

Salary – Rs. 7000000 – Rs. 1200000 Annual

Key Responsibility

a. Stay on top of the state-of-the-art in NLU, NLG and other areas related to conversational AI and be able to implement and experiment with these models.

b. Follow a scientific data-driven approach of iterative hypotheses formulation and experimentation in proposing solutions to the research problems.

c. Build innovative production-grade AI solutions and work closely with platform engineering in deployment of these solutions.

d. Computer Vision and Image Processing

e. Natural Language Processing and Voice Analytics

Top Companies providing Artificial Intelligence Salary per month in India – Mezi com, Miko, Shell, Niki ai, Accenture, ANI Calls India Private Limited, Daten & Wissen, Textify AI, NLP People, Fragma Data Systems, Sitel India Pvt. Ltd, Amazon India Pvt. Ltd, Bajaj Finserv, Info Edge, Crux Intelligence, C-Dac, Nabler, Exl, Ori, Artivatic.ai etc.

Know More about Artificial Intelligence

Difference Between Machine Learning and Artificial Intelligence

https://www.sharda.ac.in/programmes/btech-artificial-intelligence

Artificial Intelligence Salary per month in India

Top 17+ Artificial Intelligence Engineering Courses

09/06/202202/06/2022 by CBSEskilleducation

Artificial Intelligence Engineering – If you’re considering a career in artificial intelligence, you’re making a smart choice. Artificial intelligence is a growing field that’s expected to be worth $300 billion by 2025. There are a lot of areas to choose from — from data science to machine learning to natural language processing — but artificial intelligence engineering is a great place to start. In this post, we’ll discuss which engineering cources are available for artificial intelligence(CBSESkilleducation).

Artificial Intelligence Engineering

BTech Artificial Intelligence

1. BTech in Computer Science in Artificial Intelligence & Machine Learning

University Name – Sharda University

With a cutting-edge combination of machine learning, analytics, and visualization technologies, students will be able to construct intelligent machines, software, or applications. Artificial intelligence (AI) and machine learning have as their major goal the programming of computers to solve problems using example data or experience.

Many successful machine learning applications already exist, such as systems that analyze past sales data to predict customer behavior (financial management), recognize faces or spoken speech, optimize robot behavior to complete a task with minimal resources, and extract knowledge from bioinformatics data.

2. BTech Computer Science in Artificial Intelligence & Machine Learning

University Name – Netaji Subhas University of Technology (NSUT) New Delhi

Computer Engineering, now Computer Science and Engineering, has been dedicated to providing a supportive, welcoming, and demanding environment for teaching, learning, and research since 1984.

Our education model focuses on providing breadth and depth of knowledge in a variety of computing disciplines such as computer architecture, databases, networks, embedded systems, real-time systems, software engineering, Data Analytics, and Artificial Intelligence throughout our Bachelors, Masters, and Ph.D. programmes.

http://www.nsit.ac.in/division/coe/

3. BTech CSE in Artificial Intelligence

University Name – Dr. MGR Educational & Research Institute

Dr.MGR Educational and Research Institute is a well-known institution that has been awarded a ‘A’ grade by NAAC and has been reviewed and recommended by statutory bodies such as AICTE, DCI, MCI, NABH, INC, PCI, NCTE, BCI, and TUV SUD South Asia Private Limited. It is also certified with ISO 21001:2018 by TUV SUD South Asia Private Limited.

The institute is a Deemed to be University that offers undergraduate, postgraduate, and research programmes in a variety of fields.

https://www.drmgrdu.ac.in/course-details.php?academic=1&department=1

4. BTech CSE in Artificial Intelligence

University Name – Parul University

We go on to ensure that you get the most dynamic exposure by providing you with the most insightful, skill-enhancing, and enlightening academic trip. Over 110 experts from major NITs and IITs are among our 2,000 highly qualified faculty members who give you with an enlightening and personalised learning experience.

Beyond your academics, our strategic industrial ties, together with our unique approach to career development, ensure that you will have the most lucrative placement prospects upon graduation. Make your decision, and go with PU.

https://admissions.paruluniversity.ac.in/

5. BTech CSE in Artificial Intelligence & Machine Learning

University Name – Jain University

B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) will prepare you for the emerging and exponential technologies of Industry 4.0. The programme is industry-integrated with Futurense Technologies Industry 4.0 Machine Learning certifications and is provided through project-based learning, leading to internships and employment opportunities with MNCs and startups in India and overseas.

The science of getting computers to learn and respond without being explicitly programmed is known as machine learning. It’s one of Industry 4.0’s most fascinating technologies, as it brings computers closer to humans in terms of their “capacity to learn,” and it’s often regarded as the most promising path to human-level AI (Artificial Intelligence).

https://set.jainuniversity.ac.in/btech-admissions-in-bangalore

6. BTech CSE in Artificial Intelligence

University Name – Medi-Caps University

The Bachelor of Technology in Computer Science Engineering (CSE-AI) programme prepares students for careers in Artificial Intelligence (AI). This technology is becoming more and more pervasive in our daily lives. Machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing are just a few of the topics covered in this course.

https://www.medicaps.ac.in/index.php

BSc Artificial Intelligence

1. BSc Computer Science with specialization in Artificial Intelligence & Machine Learning

University Name – Karnavati University

Artificial Intelligence and Machine Learning are two hot core fields that are rapidly emerging in today’s fast-changing world and fuelling the next industrial revolution. Without hurting humanity, the global workforce has altered the way business is conducted.

According to one software company, roughly 75 million traditional employment may be lost, while 130 million new jobs will be created as a result of the AI and machine learning revolution. It is anticipated that by 2025, 30 percent of jobs will be unfilled due to a shortage of needed skills.

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2. BSc Artificial Intelligence

University Name – University of Edinburgh

Applied Artificial Intelligence tools are becoming more prevalent in our daily lives, and this trend will continue for many years.

When talking to chatbots, many of us use them without even realising it, and for many, interactions with personal digital assistants like Alexa or Siri have become second nature. But Applied AI is so much more; it’s the key to ground-breaking technologies like self-driving cars, which are predicted to profoundly transform our lives.

Your skills in speech and image processing, machine learning, robotics, UI/UX, and software development will make you a good candidate for roles at numerous international tech companies once you’ve obtained it.

https://www.iu.org/lp/bachelor/applied-artificial-intelligence

3. BSc Artificial Intelligence

University Name – University of Groningen

You will study existing intelligence as we see it in the world and design ‘intelligent’ and user-friendly products as part of the international Bachelor’s degree programme in Artificial Intelligence.

This international master’s programme focuses on human cognition, artificial cognition (computers, robots), and social system behaviour (e.g. group behaviour). In order to forecast or replicate intelligent behaviour, you will investigate the fundamental processes.

https://www.rug.nl/bachelors/artificial-intelligence

4. BSc Data Science, AI & Digital Business

University Name – GISMA University of AppliedScience

Discover the intriguing world of AI by becoming a data science specialist by mastering analytics, visualisation, and data governance. This programme also includes general business skills, which will help you get work.

Studying at GISMA Business School’s Berlin-Potsdam campus, where multinational firms such as SAP are located, will provide you with a very international environment. You’ll also have the option to study abroad for a semester in one of the world’s premier technology hubs, such as London, Shanghai, or Singapore.

You can combine this with an internship or a business project to ensure that you’re ready to start your career right after graduation.

GISMA Business School has granted this programme.

https://www.gisma.com/course/bsc-data-science-ai-and-digital-business

5. BSc in AI & Machine Learning

University Name – European Leadership University

Earn a bachelor’s degree in elite machine learning engineering with 180 ECTS by:

Learning can be facilitated through live interactive workshops.
Peer reviews and action learning provide individual and group support.
Mentorship from industry experts
Interactive material and a large digital library
Building a portfolio to get you ready for a job

https://elu.nl/ai-machinelearning/

Master Artificial Intelligence

1. MSc Computing (Artificial Intelligence and Machine Learning)

College Name – Imperial College London

This advanced course focuses on artificial intelligence, knowledge engineering, and the construction of computational and engineering models of complex cognitive and social behaviour.

This taught postgraduate course is designed for students who have studied a significant amount of computing but have not studied it exclusively.

This course will provide a first critical step toward becoming a specialist in a specific field of computing if you wish to do so.

Cognitive robotics, complexity, complex systems, computational finance, computer networks, and distributed systems are all topics of research. We also have specialisations in the following areas:

Computational Management
Security and Reliability
Software Engineering
Visual Computing and Robotics

https://www.imperial.ac.uk/study/pg/apply/how-to-apply/

2. Master’s programme in Artificial Intelligence

University Name – University of Amsterdam

This two-day Artificial Intelligence programme is meant to give you a comprehensive understanding of AI. You’ll be guided and encouraged to find and seize AI potential while avoiding dangers like as contaminated or skewed data, unwanted differentiation, and faulty algorithmic learning methodologies.

We use real data and machine learning techniques to apply AI applications so you can see what it’s like to build and run AI models. You’ll have a better understanding of the process and how to ask challenging questions about the outcome and quality.

This AI course is jam-packed with industry knowledge, terminology, and hands-on problems. It was created by AI professionals with years of expertise teaching and implementing AI in many of the world’s top 500 firms.

https://gainacademy.com/contact/

3. Master in Computer Science – Cybersecurity, Data Analytics and Artificial Intelligence

University Name – MIA Digital University
Monash Institution is a modern, global, research-focused university that is proud to deliver academic excellence in Australia and across the Indo-Pacific region through its foreign campuses and online learning choices. It is ranked among the top 100 universities in the world.

Visit monash.edu to discover more about studying at one of our Australian campuses.

https://onlineindia.monash.edu/apply

4. Master Computer Science (MSc)

University Name – IU International University of Applied Science

Congratulations if you’ve already completed your Bachelor’s degree in IT or a similar field. You’ve selected a field that is rapidly developing, has its finger on the pulse, and is setting the pace for the future digital society. You can continue on this path with our Master of Computer Science, focusing on Data Science, Cyber Security, and Artificial Intelligence.

Because there is such a high demand for specialists, you can work in practically any business. Your online Master of Computer Science will equip you with the knowledge and abilities you’ll need to succeed on the global job market.

https://www.iu.org/lp/master/computer-science

5. Master in Automated Science

University Name – Carnegie Mellon University – School of Computer Science

Computers are transforming the planet, as well as our own lives. We’ve been saying it for decades, and we’ll continue to say it since computing technology advances at a breakneck pace.

You probably have a supercomputer in your pocket right now, which would have been dubbed a supercomputer a few decades ago.

The Master of Computer Science will provide you with a broad base of high-level knowledge and specialist skills in at least one area of knowledge systems, programming languages and distributed computing, information systems, mathematics/statistics, spatial information science, or linguistics, allowing you to keep up with these advances.

https://study.unimelb.edu.au/find/courses/graduate/master-of-computer-science/how-to-apply/

6. MSc in Artificial Intelligence

University Name – University of Groningen

Computational Intelligence, Robotics, and Multi-Agent Systems are the main topics of the Master’s programme Artificial Intelligence.

https://www.rug.nl/masters/artificial-intelligence/?lang=en

7. MSc Data Science, AI & Digital Business

University Name – GISMA University of Applied Science

Choose from a variety of master’s degrees in business, marketing, human resource management, finance, data science, or a top MBA programme. For 2022 admissions, many of our programmes will be available online.

GISMA collaborates with prestigious European business institutions like The University of Law and Kingston University.

Know More about Artificial Intelligence

Difference Between Machine Learning and Artificial Intelligence

Artificial Intelligence Engineering Courses

Strong Artificial Intelligence is

09/06/202201/06/2022 by CBSEskilleducation

Strong Artificial Intelligence is – Artificial Intelligence is a powerful tool that can have a huge impact on a variety of industries. Here’s why strong AI is one of the most exciting technologies of the 21st century.

We’ve all heard about artificial intelligence (AI), but what is it? AI is a branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously.

One of the goals of AI is to create computers that can understand and process human language. This has been difficult to achieve because language is so complex and nuanced. However, recent advances in natural language processing (NLP) have made significant progress in this area.

One area where AI is being applied is in the field of medicine. Doctors are using AI to help them diagnose diseases and to develop new treatments. AI is also being used to create chatbots that can provide customer support or help people with their shopping.

In the future, AI will become even more important as we increasingly rely on computers to help us with our work.

What is Strong Artificial Intelligence is?

Artificial general intelligence and strong artificial intelligence are the same thing. Researchers are attempting to create a powerful artificial intelligence that can solve problems, learn, and plan for the future in the same way that humans can.

Artificial Intelligence with high levels of intelligence would be able to comprehend and interact with the world in ways that humans could not. They’d be able to answer problems that human minds can’t, such as the meaning of life, human existence, and the best method to acquire human-level consciousness. They would have a greater depth and breadth of understanding of the world than humans, and they would be able to make better decisions than humans.

Strong AI vs. weak AI

Weak AI refers to systems that are programmed to solve a wide variety of issues but only perform within a limited set of functions. Strong AI, on the other hand, refers to machines that have the ability to think like humans. Strong AI has a complicated algorithm to assist it act in many scenarios, whereas weak AIs have all of their actions pre-programmed by humans. Strong AI-enabled devices have their own thoughts. They can analyse information and make judgments on their own, whereas weak AI-based devices can merely mimic human behaviour.

Examples of Strong Artifical Intelligence

The Strong Artificial Intelligence (or our equivalent) will be a combination of technologies that, when combined, will provide Strong AI. The technologies aren’t supernatural; they’re just devices that can analyse data and take action on it. The challenge is to get them to do it in a way that is both useful and beneficial to people. To put it another way, Strong AI is the result of a perfect storm of science, technology, and social science.

An example of Strong AI technology

a. IBM’s Watson – Watson is an IBM supercomputer that allows scientists to solve big computational problems and answer questions considerably more quickly and efficiently.

b. Expert systems – Expert Systems are capable of reading texts, translating languages, and even writing. They can even make decisions without the assistance of humans. The potential to construct genuinely autonomous systems capable of doing complicated tasks without human supervision is already transforming our lives and workplaces.

These systems will be able to help us with everything from driving to shopping for clothes and food in the future, and they will be able to understand and communicate with us on a level never before seen.

c. AlphaGo – AlphaGo is a computer programme that is capable of playing the board game Go. In a five-game encounter in 2016, AlphaGo defeated world champion Lee Sedol.

Know More about Artificial Intelligence

Strong Artificial Intelligence is

Difference Between Machine Learning and Artificial Intelligence

Artificial Intelligence – The Future

09/06/202201/06/2022 by CBSEskilleducation

Artificial intelligence can be broadly categorized into three main types: artificial narrow intelligence (ANI), artificial general intelligence (AGI) and artificial superintelligence (ASI).

Artificial intelligence is everywhere these days. It’s in our smartphones, our personal assistants, and in the cars we drive. But what does it all mean? How does it work and what does it mean for the future? Here’s what you need to know.

What is Artificial Intelligence ?

Artificial Intelligence is just like Human Intelligence in machines that have been trained to think and act like humans. A machine with artificial intelligence that can learn and solve problems. It is the opposite of natural intelligence.

The Artificial Intelligence term comes from Dartmout Conference in 1956. Most people think Artificial Intelligence means robots, but it is actually based on the principle of human intelligence in machines, which allows machines to effortlessly replicate human intelligence.

Artificial Intelligence examples –

a. Google Maps and Ride-Hailing Applications in Artificial Intelligence

Google Maps assists in determining the optimal route and direction to go. The Google Maps algorithm employs machine learning to navigate the route. This Artificial Intelligence – based method informs users of the distance between two locations and the estimated travel time.

b. Face detection and recognition in Artificial Intelligence

Face detection aids in the recognition of human faces. Face detection and recognition are utilized in the airport for monitoring and security purposes.

c. Text Editors or Autocorrect in Artificial Intelligence

Based on the difficulty level, AI assists users in locating spelling errors, grammatical errors, or suggestions. An artificial intelligence algorithm can assist detect and improve problematic language usage.

d. Chatbots in Artificial Intelligence

Chatbots are computer programmes that assist customers and provide answers to their concerns. Natural Language Processing is being used to train chatbots. Chatbots are capable of answering difficult inquiries and providing the necessary responses.

e. Online Payment in Artificial Intelligence

Banks utilize artificial intelligence to assist customers with online payment processing. Artificial Intelligence has the potential to detect fraudness and protect customers during online transactions.

f. Social Media in Artificial Intelligence

Artificial intelligence assists in the detection of cyberbullying, cybercrime, and abusive language on social media. Hateful speech or content uploaded on social media platforms is also detected by Artificial Intelligence.

Why Artificial Intelligence –

Artificial intelligence has the ability to take actions that have the best possibility of reaching a certain goal. Nowadays many of the companies are using Artificial Intelligence in their projects, for example Google, Amazon, Facebook, twitter, Netflix finance companies, health care etc.

This Artificial Intelligence software helps to know the customer needs, improve business processes, and make decisions. Day by day, Artificial Intelligence systems get smarter and more knowledgeable than humans.

Artificial intelligence future –

a. Artificial intelligence in – Healthcare

Artificial Intelligence aids in the faster and more accurate diagnosis of diseases. In the hospital, Artificial Intelligence assists patients in scheduling doctor appointments and making hospital payments.

b. Artificial intelligence in – Cyber security

Cyber security is essential for all organizations, and Artificial Intelligence can assist in identifying security issues, determining the source of cyber attacks, and preserving data.

c. Artificial intelligence in – Transportation

Researchers are working on a completely autonomous mobility vehicle, based on Artificial Intelligence.

d. Artificial intelligence in – E-Commerce

In the e-commerce business, artificial intelligence will be essential. Amazon uses artificial intelligence technologies to manage inventory, user experience, consumer demand, and product distribution.

Artificial Intelligence Characteristics –

1. Machine Learning – Machine Learning aids decision-making based on prior experience. Machine learning is an artificial intelligence area that allows computers to learn and improve without having to be explicitly programmed.

Machine learning is the process of developing computer programmes that can access data and learn on their own.

Machine Learning can be used to solve problems such as detecting credit card fraud, Spam filters, identify patterns and make decisions without human interference.

2. Deep Learning – Deep learning gets its name from the number of additional layers used to learn from data. Deep learning is a branch of machine learning that involves three or more layers of neural networks. Deep Learning teaches computers to perform things that humans do naturally.

Deep Learning can be used to solve problems such as Works with unstructured data, has self-learning capabilities, and can perform advanced analytics.

3. Neural Network – Neural networks are designed to function similarly to the human brain. Human brains work on the basis of neural cells. A neural network is a collection of algorithms just like human neural cells which interact with one another and function similarly to a human brain.

Neural networks can be used in Self-driving cars to tell the difference between a dog, a truck, and a car. Handwritten digits or character recognition.

4. Natural Language Process – NLP is a branch of Artificial Intelligence that allows computers to understand text and spoken language in the same manner that humans do.

Natural Language Process can be used in Customer service chatbots, voice-activated GPS systems, digital assistants, speech-to-text dictation software

5. Computer Vision – Computer Vision has the ability to detect digital photos, movies, and other visual inputs. The purpose of computer vision, which is a subset of artificial intelligence, is to enable computing equipment to correctly detect visual objects.

Computer Vision can be used to solve problems such as Self driving cars, Image recognizing systems etc.

6. Cognitive Computing – Human thinking is the most powerful, and IBM Watson is attempting to offer Artificial Intelligence machines thinking capabilities. In difficult conditions, cognitive computing may imitate human brain thought processes.

Microsoft Cortana and Amazon Alexa are the best examples of cognitive computing.

Artificial Intelligence applications –

a. Artificial Intelligence Application in E-Commerce – AI assists with product recommendation, allowing you to better engage with your customers.

b. Artificial Intelligence Application in Education – Hyper-personalization approaches can be employed with AI technology to thoroughly monitor students’ data, behaviors, teaching materials, alerts, reference materials, quick notes, frequency or repetition, and so on.

c. Artificial Intelligence Application in LifeStyle – Autonomous vehicles, spam filters in email, face recognition, and other applications of artificial intelligence have a significant impact on our daily lives.

d. Artificial Intelligence Application in Navigation – To improve safety, GPS technology can give users with accurate, timely, and complete information.

e. Artificial Intelligence Application in Robotics – AI-powered robots employ real-time updates to detect obstructions in their path and instantaneously arrange their route.

f. Artificial Intelligence Application in Healthcare – In healthcare, AI applications are utilized to create powerful machines that can diagnose diseases and cancer cells.

g. Artificial Intelligence Application in Human Resource – Recruiters can use AI algorithms to scan job candidates’ profiles and resumes to gain a better picture of their abilities.

h. Artificial Intelligence Application in Agriculture – AI helps to performs weather forecasting, solid and crop monitoring.

Artificial intelligence and machine learning –

Artificial intelligence (AI) is a technology that allows machines to mimic human behavior. Machine learning is an Artificial Intelligence subset that allows a machine to learn from prior data without having to programme it directly. The goal of AI is to develop a smart computer system capable of solving complex problems in the same manner that humans can.

History of Artificial Intelligence –

Artificial Intelligence In the year 1955, Allen Newell and Herbert A. Simon wrote the first Artificial Intelligence programme. “Logic Theorist” was the name of the programme.

Artificial Intelligence In the year 1956, At the Dartmouth Conference, American computer scientist John McCarthy coined the term “Artificial Intelligence.”

Artificial Intelligence In the year 1966, Joseph Weizenbaum built the first chatbot, ELIZA.

Artificial Intelligence In the year 1972, Japan developed the first humanoid robot, known as WABOT-1.

Artificial Intelligence In the year 1980, The new concept was developed in the year 1980 name was Expert system. This system can make decisions like humans.

Artificial Intelligence In the year 1997, Deep Blue was the first world chess champion winner, developed by IBM.

Artificial Intelligence In the year 2002, Roomba was the first AI-based vacuum cleaner, and it was the first time AI was used in home appliances.

Artificial Intelligence In the year 2006, First time Facebook, Netflix and Twitter were using AI technology in their application.

Artificial Intelligence In the year 2011, Watson was the first Quiz winner program developed by IBM. Watson is designed to handle complicated questions and puzzles. Watson had the capability to understand spoken language and solve difficult problems.

Artificial Intelligence In the year 2012, Google introduced AI in their app “Google Now,” which may present users with information in the form of a suggestion.

Artificial Intelligence In the year 2014, The chatbot “Eugene Goostman” won the infamous “Turing test” competition.

Artificial Intelligence In the year 2018, The first programme that could debate with others name was “Project Debater.”

Google introduces a virtual assistant that can converse with humans over the phone.

Types of artificial intelligence –

Artificial Intelligence is classified into several types, although it is mainly separated into two types based on capability and functionality Type 1 and Type 2.

Type 1

a. Narrow AI – Narrow AI, sometimes known as Weak AI, is capable of performing a certain task intelligently. The narrow AI is taught for a single task and does not perform outside of it. Narrow AI includes IBM’s Watson supercomputer.

b. General AI – General AI could complete any intellectual task as quickly as a human. This AI system is smarter and more human-like. There is currently no system exit that falls within general AI, but study is ongoing.

c. Super AI – With cognitive qualities, super AI can perform any task better than humans. This type of system is capable of solving puzzles, planning, making decisions, learning, and communicating on its own. The researcher is trying to develop this type of challenging system, but study is ongoing.

Type 2

a. Reactive Machines – This type of machine focuses on the current situation and reacts accordingly. A Reactive machine is one like IBM’s Deep Blue and Google’s AlphaGo. This form of AI computer does not keep track of memories or past activities for future situations.

b. Limited Memory – Self-driving cars are one of the greatest instances of limited memory machines since they can store data for a short length of time. These cars can store distances between other automobiles, nearby cars, or speed for a limited period of time.

c. Theory of Mind – Theory of Mind based on human emotions and capable of social interaction. This type of machine has yet to be created.

d. Self Awareness – Self-awareness, this computer is smarter than the human intellect. Artificial Intelligence is the future, and this machine has its own mind, emotions, and self-awareness.

How can you tell if Artificial Intelligence is human-like –

Do the following to see if Artificial Intelligence works like a human or not –
a. Turing Test
b. The Cognitive Modeling Approach
c. The Law of Thought Approach
d. The Rational Agent Approach

Advantages of Artificial Intelligence –

1. Reduction in Human Error – Artificial Intelligence’s greatest success is the reduction of human error. A human can make mistakes, but a computer cannot. Artificial intelligence makes use of previously recorded data to reduce mistakes and improve accuracy. Artificial Intelligence assists in the solution of complex issues requiring difficult calculations that can be accomplished without error.

2. Reduce the Risk of Human life – Artificial Intelligence can now handle numerous dangerous situations, such as defusing a bomb, researching the deepest part of the ocean, natural or man-made disasters, and oil and coal mining etc.

3. AI Based Applications – We are now all dependent on mobile phones and the internet. There are numerous applications available that answer problems in our daily lives, such as Google Maps, Google Search Engines, Alexa, and Microsoft Cortana.

4. Helping others – AI is assisting organizations and humans in improving the quality and technologies, such as doctors predicting various harmful diseases, online customer demands and reviews, online chatbots, entertainment or in the field of research industries etc.

5. Take faster decisions as compared to humans – A machine can make decisions faster than a human. Humans consider numerous factors when making decisions, whereas machines depend on the instructions given by programmers. Imagine an online chess game. As you play the game, you will see that AI makes faster decisions and completes the task quickly.

Disadvantages of Artificial Intelligence –

1. Production cost is High in Artificial Intelligence – AI-based application development is expensive and time-consuming, and AI-based hardware updates are equally expensive. It will also require maintenance from time to time.

2. Replacing Jobs and increasing Unemployment due to Artificial Intelligence – Many jobs are now performed by AI-based applications, resulting in increased unemployment. Previously, customer support was done by humans, but nowadays, it is handled by AI-based chatbots.

3. Lack of creativity in Artificial Intelligence – Artificial Intelligence’s biggest weakness is its lack of creativity. Artificial Intelligence improves quality by learning from previous experiences, but it does not have creativity like humans.

The companies that offer Artificial Intelligence jobs –

Artificial Intelligence in Apple
Artificial Intelligence in Google
Artificial Intelligence in Amazon
Artificial Intelligence in Facebook
Artificial Intelligence in Accenture
Artificial Intelligence in IBM
Artificial Intelligence in Microsoft
Artificial Intelligence in Baker Hughes
Artificial Intelligence in PepsiCo
Artificial Intelligence in Casetext

Artificial Intelligence course –

BTech Artificial Intelligence

BTech in Computer Science (Artificial Intelligence & Machine Learning) Sharda University
BTech Computer Science (Artificial Intelligence & Machine Learning) Netaji Subhas University of
Technology (NSUT) New Delhi
BTech CSE (Artificial Intelligence) Dr. MGR Educational & Research Institute
BTech CSE in Artificial Intelligence Parul University
BTech CSE in Artificial Intelligence & Machine Learning Jain University
BTech CSE in Artificial Intelligence Medi-Caps University

BSc Artificial Intelligence

BSc Computer Science with specialization in Artificial Intelligence & Machine Learning Karnavati University
BSc Artificial Intelligence University of Edinburgh
Bachelor of Applied Artificial Intelligence (BSc) IU International University of Applied Science
BSc Artificial Intelligence University of Groningen
BSc Data Science, AI & Digital Business GISMA University of AppliedScience
BSc in AI & Machine Learning European Leadership University

Master Artificial Intelligence

MSc Computing (Artificial Intelligence and Machine Learning) Imperial College London
Master’s programme in Artificial Intelligence University of Amsterdam
Master in Computer Science – Cybersecurity, Data Analytics and Artificial Intelligence MIA Digital Universite
Master Computer Science (MSc) IU International University of Applied Science
Master in Automated Science Carnegie Mellon University – School of Computer Science
MSc in Artificial Intelligence University of Groningen
MSc Data Science, AI & Digital Business GISMA University of Applied Science

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Difference Between Machine Learning and Artificial Intelligence

Artificial Intelligence and Data Science

09/06/202229/05/2022 by CBSEskilleducation

Artificial Intelligence and Data Science : Data science is the study of data and its applications in the field of computing. Artificial intelligence, on the other hand, is the study of machines that perform tasks that mimic human intelligence.

One of the most exciting things about data science is that it allows us to extract insights from our data with little human intervention. This has led to powerful applications such as automated fraud detection, automatic translation, and even computerized investing.

Data science can help companies improve their core business functions, such as sales, marketing, and customer support. It can also be used to solve complex business problems that would otherwise be too difficult or expensive to address.

Data science is often referred to as the fourth-generation of computing, after the three generations of traditional programming languages: assembly, high level languages, and now machine code.

Artificial Intelligence and Data Science

What is Data Science?

Data science is the field of study that focuses on extracting knowledge and value from data. Data science professionals use advanced algorithms and data processing techniques to discover patterns and trends in large datasets, solve complex problems, and make data-driven decisions.

They design, implement, and analyze large-scale data processing and analytics systems and solutions, and they often write complex code. They also collaborate with colleagues across a variety of disciplines to solve complex problems, such as improving the security or scalability of online platforms and building high-performing data science teams.

How the data science will help in business?

a. Make better decision

Data science allows you to make smarter decisions. Because they are based on a lot more credible source than someone’s opinion. Only data science and machine learning technologies are capable of quickly analyzing millions of bytes of data.

b. Increasing sales

Data science aids in the growth of sales. Machine learning algorithms may look at historical data, compare and analyze the market, and make recommendations based on that information about how, when, and where your product or service will sell best.

Furthermore, data science can assist you in increasing the accuracy with which you contact your target audience.

c. Google Analytics

Google Analytics provides you with reliable information about who visited your website or e-commerce, when they visited, where they came from, and what they were interested in, among other things. If you’ve used Google Analytics before, you already know how powerful it is.

It assists you in tailoring your marketing, website appearance, and even offers to meet the needs of your target audience.

d. Improved customer service

Customers have an increased level of confidence in your company, knowing that you are delivering on your promises of quality, service, and value.

Data Science Examples

Demand prediction for the manufacturing industry

Increased productivity: By using data science, manufacturers can more effectively streamline operations and reduce redundant processes, leading to improvements in efficiency and productivity.

In addition, they can effectively track and manage inventory levels and manage the flow of materials throughout the supply chain to improve the safety of their workers. Improve labor productivity by reducing work-arounds, lowering downtime, and reducing costs.

Supply chain optimization in the logistics industry

Integrating logistics data science with operational efficiency is one of the most important things a logistics company can do to make itself more competitive. It is also used to optimize the transportation of goods – for example, by choosing the optimal route for the vehicles.

This reduces operating costs and speeds up the work! Transport service providers are also able to predict the demand for services with high accuracy by combining historical data with information on consumer profiles and macroeconomic indicators.

Data science is used to optimize processes like product selection, inventory management, and order fulfillment.

Customer analytics in the retail industry

It helps in finding the best deals for customers, increasing the sales and generating more revenue. Data science can also be used to predict customer behavior and improve the existing marketing strategies.

For example, data science can be used to analyze the online cart for every single customer and display recommendations based on that exact customer’s preferences. It can be used to improve the conversion rates of the website and generate more revenue.

Data Science in marketing

Data science has a great impact on the marketing industry, and together with the other data-related technologies – like machine learning and artificial intelligence – it is transforming the way we do business. All this is thanks to the usage of the latest technologies and tools.

For example, you can use machine learning to understand the needs of your customers, predict which products the customer is likely to buy next, and generate the best recommendations for them. The same applies to artificial intelligence and Data Science, which allows to make complex decisions without human intervention.

Artificial Intelligence and Data Science

Artificial Intelligence

Artificial Intelligence (AI) is the branch of computer science that focuses on the design of intelligent machines, primarily through computer programming. These intelligent machines are programs that are able to learn and to act on their own without being explicitly programmed by a human.

Artificial intelligence and Data Science is a broad research field that has existed since the beginning of the 20th century. AI has been used in various applications, including in the military, business, arts, law, and government to perform various tasks. It has also been used in many entertainment-related fields

What Fields AI Can Be Used In

We are only beginning to scratch the surface of what artificial intelligence and Data Science can do. So far, AI has been used in a variety of fields including:

a. Healthcare: AI can be used to diagnose diseases, predict patient outcomes, and personalize treatments.

b. Finance: AI can be used for fraud detection, credit scoring, and investment analysis.

c. Retail: AI can be used for product recommendations, price comparisons, and automated customer service.

d. Transportation: AI can be used for traffic management, route planning, and self-driving cars.

e. Education: AI can be used for personalized learning, adaptive testing, and educational data mining.

f. Manufacturing: AI can be used for quality control, process optimization, and predictive maintenance.

g. Security: AI can be used for facial recognition, intrusion detection, and cyber security.

How to Implement AI

When it comes to adding AI into your business processes, there are a few key things to keep in mind in order to make sure the implementation is successful. Here are a few tips on how to implement AI into your business:

1. Define your goals and objectives – What exactly do you hope to achieve by implementing AI? Be as specific as possible so that you can measure the success of the AI implementation against these objectives.

2. Assess your data – In order for AI to be effective, you need to have high-quality data that can be used to train the algorithms. If you don’t have enough data, or if it’s not of good enough quality, then the AI implementation will not be successful.

3. Choose the right platform – There are a number of different platforms that can be used for AI, so it’s important to choose one that will fit well with your existing infrastructure and systems.

4. Train your staff – Your employees will need to be trained on how to use the new AI system so that they can take full advantage of its capabilities. Make sure to allocate enough time and resources for training so that everyone is up to speed.

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Artificial Intelligence and Data Science

Difference Between Machine Learning and Artificial Intelligence

AI Companies

09/06/202227/05/2022 by CBSEskilleducation

AI Companies : The next decade is going to be all about the AI. In the next 10 years, we’ll see AI infiltrating every industry and becoming a part of our everyday lives. Today, we have intelligent assistants like Google Home and Amazon Alexa. In the coming years, we are going to have autonomous cars, smart homes, and even more. The AI revolution is right around the corner – here are some of the best AI companies to watch out for in the coming years.

AI Companies

AI in Google Cloud – AI Companies

The Google Cloud AI team is making tools to help people do more with language data, especially with respect to applications that can automate translation. A Google spokesperson said that these tools “build on top of our translation, machine learning, and Natural Language Processing (NLP) products which have been used in a variety of settings beyond education.

AI in Amazon – AI Companies

By harnessing the power of artificial intelligence, Amazon can automate the process of answering questions. This means it’s able to use natural language processing to quickly generate product suggestions, and it’s possible that a detailed and informative search experience can be generated for entirely new search terms that weren’t even in the users’ minds. The possibilities that this opens up for education are exciting – the AI might be able to come up with new ways to help teachers connect with their students and effectively teach them.

AI in IBM – AI Companies

The world’s leading technology company is investing billions of dollars in artificial intelligence. IBM’s AI platform, called Watson, is used by companies like Uber and Amazon to make complex decisions and provide customers with the best service possible. Today, Watson is used in more than 150 countries and has helped save lives by predicting which patients are most likely to die, helping hospitals save hundreds of thousands of dollars on drug costs, and improving education by helping teachers improve student achievement. I’m a fan of Watson and the value it provides to customers and the world, and I’m excited to see what the future holds.

AI in Microsoft – AI Companies

Microsoft is investing heavily in artificial intelligence. By building powerful platforms and services for AI, we are creating opportunities to help people and organizations around the world make better decisions and do better work. This year, we will use AI to help people and organizations in health, safety, and productivity, and we will create new services and experiences for our customers and business partners. This is just the beginning.

AI in Alibaba – AI Companies

Alibaba has announced a partnership with Amazon leading to the creation of the first artificial-intelligence (AI) computing and language service in China, and a series of cloud computing services powered by the cloud. Alibaba will build a Next.AI-powered learning platform in partnership with Amazon, and launch it with an end-to-end solution, including the computing engine, training model and APIs. This will provide developers with the ability to build AI-powered applications without being concerned with the complexity of setting up and managing the infrastructure needed to run them.

AI in CCC – AI Companies

The Clovis Community College AI team is working to make Clovis a leader in the field of AI. As of this week, they have released a model that can answer basic questions such as “who is the president of the United States?” and “what date is tomorrow?” The team is working to build more complex models that can answer questions that are easier to answer today, such as “who won the Super Bowl in 2022?”

AI in Veritone – AI Companies

Veritone is a pioneer in enterprise AI software, services, and apps, assisting businesses in transforming their operations and addressing the challenges of today’s digital data. Our customers can handle their present and future difficulties with our AI solutions and vast partner ecosystem, allowing them to function more efficiently, make faster decisions, and gain a competitive advantage.

AI in Nvidia – AI Companies

The world’s largest chip maker is using artificial intelligence to improve its products, lower costs and increase revenue. Nvidia’s AI platform, which powers self-driving cars, drones, robotics and computers, has led to numerous benefits for the company and the industry as a whole. It has also helped the company become a leader in the field, enhancing its products and strengthening its competitive positioning.

AI in OSARO – AI Companies

OSARO integrates flexible, integrated automation systems with deep learning technology to allow improved pick-and-place capabilities.

OSARO The rapid growth of e-commerce has resulted in significant advancements in fulfilment automation. OSARO provide best-in-class e-commerce piece-picking solutions that focus on the goods-to-person (G2P) function, which is where the biggest savings may be generated on the warehouse floor. All of our solutions are built on top of our outstanding machine learning vision and control software.

AI in Grammarly – AI Companies

Grammarly’s powerful AI not only corrects your grammar errors, but also improves the readability of your writing and assists you in making the best impression on the reader based on your audience and goals. Grammarly can also evaluate the tone of your conversation, propose synonyms to make your language more accessible and precise, and even check for plagiarism in your documents. You can feel assured that your writing will always be held to the greatest level when you use Grammarly.

AI in OpenAI – AI Companies

The objective of OpenAI is to ensure that artificial general intelligence (AGI)—that is, highly autonomous systems that outperform humans at the most economically valuable tasks—benefits all of humanity. We shall make every effort to directly create safe and helpful AGI, but we will consider our objective accomplished if our efforts assist others in achieving this goal.

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AI in HealthCare

09/06/202226/05/2022 by CBSEskilleducation

AI in HealthCare: AI in health care is a technology that uses computers to analyze patterns and data in order to make them useful. It uses natural language processing (NLP), computer vision, and machine learning to improve our health care system. It is used in areas such as radiology, pathology, and the operating room. The goal of AI in healthcare is to improve the quality of health care by reducing errors, increasing safety, and improving outcomes.

AI in HealthCare

Health care is changing, and AI is playing a bigger role than ever. Learn about the ways AI is impacting the health care industry by reading this blog post.

The medical industry has been using technology for decades, but it’s been slow to catch up to the digital revolution. Advances in AI and machine learning are now making it possible to leverage artificial intelligence (or AI) to improve patient care.

AI is a type of technology used in computer systems or in the machine that can learn, think, and make decisions or take actions in the same way that humans can.

Why AI is used in Healthcare

Human life depends on access to quality health care, and Artificial Intelligence is the future of healthcare. AI can help doctors diagnose diseases more quickly and accurately, and it can help individuals to schedule doctor appointments, medical record review, clinical diagnoses and treatment and pay their bills. AI can also anticipate and track the spread of contagious diseases, by analysing data from the government, healthcare, and other sources.

AI used in Asthma Inhalers

Asthma is a serious condition that affects millions of people worldwide. It is a chronic disease that can be treated, but not cured. Today the number of asthma patients is increasing rapidly, about 93% of asthma patients use inhaler, A device called Respiro is becoming increasingly popular for the treatment of asthma, this disease automatically detects when and how much to use the medicine by forgiving the vibrations in which breath.

Cancer Diagnosis with AI

We all know that cancer has become a major epidemic; how can we use this to learn more about the causes of cancer and work together to find the best treatment? Various cancer companies across the country are working on AI-based diagnosis technology.

AI in HealthCare Next Generation Radiology Tools

In the future, doctors may be able to scan a patient’s body and get a sense of what a problem is, without the need for tissue samples. Once they know what to look for, they have the option to use a needle, a biopsy, or imaging tests like MRI to diagnose the problem at hand. Neuroimaging machines utilize magnets to create images of the brain, but they also have other applications. MRIs can be used to visualize an injured brain, but they’re also used to create

AI based water testing technology

Today, diarrhoea has become a major issue; more than 2000 people die every day from diarrhoea, which is caused only by a lack of clean water.

WaterScope was formed in 2015 with the primary goal of employing AI technology to analyze water quality in underdeveloped countries. This business has created a low-cost water testing gadget that can identify bacteria in as little as six hours. It is currently doing successful training in India, attempting to solve water problems and reduce the effects of water pollution.

The Future of AI in Healthcare

Healthcare is already being transformed by artificial intelligence (AI). The ability to automatically identify disease and generate novel hypotheses is already making an impact on the field. Today, AI is used to help doctors diagnose disease, generate treatment plans, and provide diagnostic information to patients. It is also being used to help patients monitor and manage their health, including the use-case of AI-generated text-to-speech systems that help people with limited mobility communicate with their doctors.

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AI in HealthCare

Artificial General Intelligence

09/06/202226/05/2022 by CBSEskilleducation

Artificial General Intelligence – The idea of Artificial Intelligence has fascinated humankind for centuries. It was HAL 9000, the robot assistant from 2001: A Space Odyssey, that set the tone for the concept of an artificial general intelligence. AI research is still at its infancy, but if we manage to achieve AGI, we will be able to make our daily lives more comfortable by automating mundane tasks and granting us the freedom to pursue other activities.

Artificial General Intelligence

The definition of AGI is still being debated, but the requirements are clearly stated in the IaC Manifesto. AGI exercises the same learning ability that we do, albeit on a vastly much larger scale, and it may well have a different focus.

What is the purpose of AGI?

An AGI would be able to understand and interact with the world in ways that are impossible for humans. They would be able to answer questions that human minds can’t, like the meaning of life, the meaning of human existence, and the best way to achieve human-level consciousness. They would be able to understand the world with a greater depth and breadth than humans, and they would be able to make decisions that are better than humans.

This would lead to severe job loss and social chaos, leaving only machines to do the work. This is the rise of the machines: a labor market driven by technology and a new race of people whose principal source of income is their ability to manipulate machines rather than people. This would drastically alter a society that has valued human labor for as long as humans have existed.

Is the AGI concept good?

Yes, AGI will have the same capabilities as humans.

Difference between AGI and AI

One of the most common topics on the internet is the debate between artificial intelligence and general intelligence. The former refers to the ability of a computer system to perform specific tasks, such as playing chess or answering trivia questions. The latter refers to the ability of a computer system to perform complex tasks that humans can also perform, such as understanding language or generating original ideas.

AGI does not exist yet, but AI is widely used.

The following are some AI examples:

Chatbots for customer care
Voice assistants like Siri and Alexa
Recommendation application like Google, Amazon and Netflix
Facial recognition application

Examples of Artificial General Intelligence

True AGI (or our equivalent) won’t be a single technology — it will be a collection of technologies that together give artificial general intelligence. The technologies themselves are not magical — they are simply machines that can analyze data and act on it. The challenge is to make them do so in a way that is useful and makes people better. In other words, our message is: true AGI is the product of the perfect storm of science, technology, and the social sciences.

Example of the AGI technologies

a. IBM’s Watson – IBM’s Watson is a Supercomputing system that enables scientists to tackle large computational problems and answer questions in a much faster and more efficient manner.

b. Expert systems – Expert Systems can read documents, translate languages and even write text. They can even make decisions without human input. The ability to create truly autonomous systems that can perform complex tasks without human supervision is already changing how we live and work. In the future, these systems will be able to assist with everything from driving to picking our clothes and food, and they will be able to understand and communicate with us on an unprecedented level.

c. AlphaGo – AlphaGo is a computer program that can play the board game Go. In 2016, AlphaGo beat the world champion Lee Sedol in a five-game match.

What is the future of AGI?

While AGI has yet to be achieved.

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Artificial General Intelligence

Difference Between Machine Learning and Artificial Intelligence