How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial.

What are the emerging topics and potential societal benefits of artificial intelligence? Steve Eglash, executive director of the Stanford AI Lab, and event co-chairs Russ Altman, professor of bioengineering, genetics, medicine and computer science, and Fei-Fei Li, associate professor of computer science, open the 2016 Global Entrepreneurship Summit partner event, “The Future of Artificial Intelligence.” The event was hosted by the White House Office of Science and Technology Policy at Stanford University on June 23, 2016. Watch the remaining videos on this playlist to hear from the following people:

• Megan Smith
• Fei-Fei Li
• Daniela Rus
• Anshul Kundaje
• Chris Manning
• Yoav Shoham
• Stefano Ermon
• John Duchi
• Chris Re
• Arvind Krishna

David Pogue of Yahoo Tech explores advances in robotics and AI (or artificial intelligence) at the recent DARPA Robotics Challenge; and talks with director Alex Garland, whose new film, “Ex Machina,” features a sentient robot.

Robot Overlords or How I learned to Stop Worrying and Love AI.
Please enjoy this talk given by Matthew Williams to Larry Greenblatt’s CISSP class on May 24, 2018

A sober-minded philosophical exploration of what AI can and cannot achieve

In Artificial You, Susan Schneider says that it is inevitable that AI will take intelligence in new directions, but urges that it is up to us to carve out a sensible path forward. As AI technology turns inward, reshaping the brain, as well as outward, potentially creating machine minds, it is crucial to beware. Homo sapiens, as mind designers, will be playing with “tools” they do not understand how to use: the self, the mind, and consciousness. Schneider argues that an insufficient grasp of the nature of these entities could undermine the use of AI and brain enhancement technology, bringing about the demise or suffering of conscious beings. To flourish, we must grasp the philosophical issues lying beneath the algorithms.

At the heart of her exploration is a sober-minded discussion of what AI can truly achieve: Can robots really be conscious? Can we merge with AI, as tech leaders like Elon Musk and Ray Kurzweil suggest? Is the mind just a program? Examining these thorny issues, Schneider proposes ways we can test for machine consciousness, questions whether consciousness is an unavoidable byproduct of sophisticated intelligence, and considers the overall dangers of creating machine minds.

* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training *
Artificial Intelligence in Healthcare is revolutionizing the medical industry by providing a helping hand. This Edureka session will help you understand the positive impact of Artificial Intelligence in the healthcare domain along with practical implementation in Python. The following topics are covered in this session:

1. What Is Artificial Intelligence?
2. AI in healthcare
3. Use cases
4. Introduction to Machine Learning
5. Introduction to Deep Learning
6. Hands-On

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About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master’s Program Covers Topics Like:

Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
TensorFlow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods.

———————-

Prerequisites

There are no prerequisites for enrollment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

————————————–

Please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information

Artificial intelligence (AI) is believed to be the core of the next industrial revolution, but many questions remain. How can public trust in AI? How can privacy be protected in the “big data” era? How will AI impact the labor market?
The CGTN Focus Group arrives in Shenzhen, China’s hub of technological innovation, to listen to insiders as part of our special coverage of the Boao Forum for Asia.

In this programme the world’s leading experts attempt to build an artificial human based on actress Gemma Chan, star of the sci-fi series Humans, for a ground-breaking scientific stunt that will test just how far away we are from ‘synthetic’ humans.

Could science fiction be our reality much sooner than we think?

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#Spark #Humans #ArtificialIntelligence

Artificial intelligence stocks could add another $30 trillion to the economy AND your portfolio! I’m digging into the research to find the best AI stocks for your money.

Follow these and all the stocks in our 2021 Bow Tie Nation portfolio on Stockcard. Use promo code bowtienation for a special discount beyond the free trial! https://mystockmarketbasics.com/stockcarddiscount

I found the Ark Invest Big Ideas report last week and love the research on 15 innovation industries changing our world! The only problem is, there aren’t any stocks to buy. The report lays out the research and stock trends but doesn’t recommend any stocks.

So I’m going through each of these 15 hottest themes of tomorrow to analyze the research and find you the stocks to buy…and we’re starting with the biggest! Artificial intelligence is breaking into a new era of coding by machines rather than programmers. It’s about to touch every industry and you need to put this trend in your portfolio.

We’ll start with how to find AI stocks. I’ll show you how to create an AI stocks list of 71 companies to research, companies on the forefront of this revolution. I’ll then reveal how to analyze stocks of artificial intelligence companies and those five AI stocks to watch.

When you’re investing in deep learning and machine learning stocks, make sure you buy some smaller companies as well as the giant tech companies. You want some fast-growing upstarts as well as the AI leaders like Google, Amazon, and Salesforce. I like to use the screener on Stockcard to find the artificial intelligence collection but you can also look for companies with keywords like deep learning and machine learning technology. Once you start your list of AI companies, find their competitors and narrow your list for those with shares available.

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Joseph Hogue, CFA spent nearly a decade as an investment analyst for institutional firms and banks. He now helps people understand their financial lives through debt payoff strategies, investing and ways to save more money. He has appeared on Bloomberg and on sites like CNBC and Morningstar. He holds the Chartered Financial Analyst (CFA) designation and is a veteran of the Marine Corps.

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With Artificial Intelligence, the future is faster than you think.
Human development in just 100+ years became global and grown exponential. We are witnessing rapid growth, and exponential technologies drive it with the availability of faster and cheaper computing power. Artificial Intelligence is one such Exponential technologies that are reinventing every business model and ecosystem.
Let’s quickly revisit to understand the difference between the linear and exponential scale. If your walk is 1 meter, 30 steps of 1meter will take you 30 meters from the starting point. Whereas 30 such exponential steps lead to over 1 billion meters.

Not only in our lives, but we also see it in stocks as well. Also, in the known brands, for example, see the Netflix growth, its valuation, a decade back is linear at 2.2Billion$, and now, it is more than 300billion$.

Remember, such growth can cause disruptive stress or opportunity. For example, photos taken each year have grown exponentially and, simultaneously, analogue photos (means hard copies) have fallen exponentially.
At present we have 20B+ connected devices and more than 1 trillion sensors. It is projected another exponential growth here.
Hence, an explosion of data ahead and we are heading to data-driven AI. Companies have to transform themselves to sustain themselves in the future.

Sundar Pichia says “Artificial intelligence could have more profound implications for humanity than electricity or fire.”
Elon Musk says “Companies have to race to build AI or they will be made uncompetitive. Essentially, if your competitor is racing to build AI, they will crush you.”

Hence

“There will be two kinds of companies at the end of this decade…. …those who are using AI. …and those who are out of business.”

We started seeing AI in drone deliveries, autonomous vehicles, Flying cars, Robots, and service industries where AI beat humans on all fronts.

The decade ahead is Human-AI collaboration,

In what industries? And what are the companies which have revenues from AI-enabled streams?

If we look at the US stock markets, AI companies are well classified as a segment and operating in different sectors health care, finance, transportation, construction, manufacturing, education, etc including cross-industry tech.

When it comes to Indian stock markets,
Sectors such as FMCG, Pharma, Cement, IT, etc are well organized, here, for Artificial intelligence, there is no separate sector or segment.

I have attempted to classify 30 stocks based on the criteria of at least 40% revenue contribution from AI or AI-enabled products and services.

Valuations are always in the premium mode for AI stocks, and these stocks try to catch the exponential price curve after the end of each consolidation phase.

https://www.patreon.com/krisdom

#krisdom #krisdominvestor

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#artificialintelligencestockstoinvestin #artificialintelligencestocks #aishares #artificialintelligenceshares #aistocks #artificialintelligence #technologyshares #artificialintelligencebasedstock #artificialintelligencestockmarket #aibasedstocksinindia #aistocksindia #aisharesinindia #dronestocksindia #techstocksindia #multibaggeraistocks #cloudstocksindia #itstocksindia #topartificialintelligencecompanies #technologystocksindia #futureofartificialintelligence #riseofartificialintelligence #artificialintelligencefuture #whatisartificialintelligence #artificialintelligencerobot #artificialintelligenceexplained #artificialintelligenceandmachinelearning #riseofartificialintelligenceinbusinessandeverydaylife #artificialintelligence2021 #theriseofartificialintelligencethroughdeeplearning #future #futureofai #futureisnow #futureai #futureofaitechnology #futureofwork #thefutureofai #jobsofthefuture #futuretechnology #futureofaiandmachinelearning #isaiisgoingtobethefuture. #aiandthesuperfuture #thefuture #workfuture #futurejobs #futureofai/ml #aiandmlfuture #futureofretail #stocks #bestaistocks #aistock #stockmarket #beststockstobuynow #stockstobuynow #c3.aistock #c3stock #growthstocks #techstocks #stockstobuy #topaistocks #beststocks #aistockstobuy2021 #stock #deeplearningstocks #c3aistock #beststockstobuy2021 #aistockanalysis #howtobuystocks #techstockstobuy #beststockstobuy #bestaistocks2021 #stockstobuytoday #datastocks #bestaistockstobuynow #bestartificialintelligencestocks #artificialintelligencetechnologysolutions #topartificialintelligencestocks #artificialintelligencestocksindia #bestartificialintelligencestocks2021 #artificialintelligencestockstobuyin2021 #pennystocks #lateststocknewsindia #bestartificialintelligencestocksinindia #beststockstobuynowinindia #multibaggerstocks2021india #multibaggerstocks #artificialintelligenceandstocks #artificialintelligencestockstobuy #itstocks #informationtechnologystocks

With Artificial Intelligence, the future is faster than you think.
Human development in just 100+ years became global and grown exponential. We are witnessing rapid growth, and exponential technologies drive it with the availability of faster and cheaper computing power. Artificial Intelligence is one such Exponential technologies that are reinventing every business model and ecosystem.
Let’s quickly revisit to understand the difference between the linear and exponential scale. If your walk is 1 meter, 30 steps of 1meter will take you 30 meters from the starting point. Whereas 30 such exponential steps lead to over 1 billion meters.

Not only in our lives, but we also see it in stocks as well. Also, in the known brands, for example, see the Netflix growth, its valuation, a decade back is linear at 2.2Billion$, and now, it is more than 300billion$.

Remember, such growth can cause disruptive stress or opportunity. For example, photos taken each year have grown exponentially and, simultaneously, analogue photos (means hard copies) have fallen exponentially.
At present we have 20B+ connected devices and more than 1 trillion sensors. It is projected another exponential growth here.
Hence, an explosion of data ahead and we are heading to data-driven AI. Companies have to transform themselves to sustain themselves in the future.

Sundar Pichia says “Artificial intelligence could have more profound implications for humanity than electricity or fire.”
Elon Musk says “Companies have to race to build AI or they will be made uncompetitive. Essentially, if your competitor is racing to build AI, they will crush you.”

Hence

“There will be two kinds of companies at the end of this decade…. …those who are using AI. …and those who are out of business.”

We started seeing AI in drone deliveries, autonomous vehicles, Flying cars, Robots, and service industries where AI beat humans on all fronts.

The decade ahead is Human-AI collaboration,

In what industries? And what are the companies which have revenues from AI-enabled streams?

If we look at the US stock markets, AI companies are well classified as a segment and operating in different sectors health care, finance, transportation, construction, manufacturing, education, etc including cross-industry tech.

When it comes to Indian stock markets,
Sectors such as FMCG, Pharma, Cement, IT, etc are well organized, here, for Artificial intelligence, there is no separate sector or segment.

I have attempted to classify 30 stocks based on the criteria of at least 40% revenue contribution from AI or AI-enabled products and services.

Valuations are always in the premium mode for AI stocks, and these stocks try to catch the exponential price curve after the end of each consolidation phase.

https://www.patreon.com/krisdom

#krisdom #krisdominvestor

Resolution Example in Artificial intelligence
Resolution is the process to prove a statement.
Resolution is a proof technique that works this way .
1.select two clauses that contain conflicting terms.
2. Combine those two clauses and cancel out the conflicting terms.

Steps in Resolution :
1. Converts facts into FOL
2. Converts FOL into CNF ( conjuctive Normal Form )
3. negate the statement to be proved , and add the result to the knowledge base.
4. Draw Resolution graph .

* find resolvable clauses and resolve them
* add results of resolution into the knowledge base .
* if empty clause (NIL) is produced , stop and report that original theorem is true .

Download link : https://play.google.com/store/apps/details?id=com.pa.gs.ai

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The next frontier in digital advertising will be using technology to predict which marketing messages are most persuasive with consumers and to deliver them at the right time. Artificial intelligence (AI) can help to personalize advertising while also protecting privacy, balancing consumer concerns with the goals of marketers who fret about the loss of third-party cookies for ad targeting.

“It’s not all doom and gloom,” Randi Stipes, chief marketing officer of Watson Advertising and Weather, developer marketing at IBM, said in this interview with Beet.TV. “We’re already seeing the industry move forward. We’re seeing the right direction with third-party cookies going away, with increased demand for consumer privacy regulations.”
Her company recently published the “AI Advertising Almanac” to describe the technology’s potential to tackle some of the biggest challenges faced the marketing and media industries.

“We still have a big challenge ahead of us: How do we make sense of the growing and disparate data sets that exist?” Stipes said. “We think AI can help, and play a critical role. We’ve seen AI address foundational problems and foundational challenges in other industries.”

IBM’s AI technology has been applied to cybersecurity to help ward off online attacks, and currently helps to mitigate 1 trillion security events a month. Businesses also are using AI to predict when it’s safe for their employees to return to work, a daunting prospect as they grapple with the global COVID-19 pandemic.

“If AI can help with these incredibly complex problems, surely it can play a vital role in the marketing and the media industry,” Stipes said.

IBM Watson Advertising is currently worked with Interactive Advertising Bureau (IAB) and other organizations to develop standards for AI applications in advertising and marketing. The goal is to make those applications more transparent and boost adoption.

“We need to develop a standard that will help us scale AI’s potential,” Stipes said. “For people to trust AI, it must be transparent. It must be explainable. We also need to make sure that the data and the insights stay with their creator.”

Stipes sees additional potential for AI outside of programmatic advertising, where the technology helps to match buyers and sellers of digital ad placements in automated auctions. Ad personalization is a big area of growth, using AI for natural-language processing (NLP) to better understand the context and meaning of text and human speech.

“We know that personalization is a huge challenge for marketers, but when we use AI’s natural-language processing capabilities, it can create ad experiences that help a brand engage one-on-one with a consumer,” Stipes said. “That forms a more personal connection.”

AI also has applications in fraud prevention, media measurement, ad targeting and sentiment analysis to match marketers with social influencers who can help to reach target audiences.

IBM currently is working with the Ad Council, the nonprofit that produces and distributes public service announcements, on an effort to promote awareness about the safety of coronavirus vaccines. The council is using IBM Watson Advertising Accelerator to serve relevant creative to target audiences.

“We want to help the industry get smarter on AI’s value,” Stipes said. “The challenges that we’re facing right now — those should serve as a catalyst to forge a better path forward.”

You are watching “Break the Cycle,” a leadership series brought to you by IBM Watson Advertising and Beet.TV.

AIs can now generate written content, we call this Natural Language Generation (NLG) and the advances in this field are pretty amazing.

If you would like more information on this topic, please feel free to visit my website and sign up for content updates! I write articles every week on various different topics such as Big Data, Artificial Intelligence & Machine Learning.

Visit the Artificial Intelligence & Machine Learning topic page: https://bernardmarr.com/default.asp?contentID=1314

Thanks for watching!

Over 3 billion photos are uploaded and shared on the internet every day. Visual content is 40x more likely to be shared on social media than text. What are your customers sharing on social media? And what are they tagging your brand in? And what impact do these visual conversations drive for your brand? You need comprehensive visual analytics to understand what’s really happening on social media.

Join us to learn about NetBase’s next-generation artificial intelligence for image analysis capabilities. We’ll explain how it analyzes visual posts to identify brand logos and keywords to give the most comprehensive view of a brand’s performance. The platform also accurately classifies images by facial emotions, common scenery, and everyday objects to provide the greatest depth of insight.

– More accurately track share of voice and protect your brands reputation by including the analysis of visual brand mentions and understanding their context
– Discover creative inspiration and improve campaign performance through learning what is driving visual engagement and inspiring your customers
– Understand more accurately when, where and how your customers are using your products and services

Artificial Intelligence is one of the fastest growing disciplines, disrupting many sectors. Originally mainly for computer scientists and engineers, it has been expanding its horizons and empowering many other disciplines contributing to the development of many novel applications in many sectors. These include medicine and health care, business and finance, psychology and neuroscience, physics and biology. However, one of the disciplines in which artificial intelligence has not yet been fully explored and exploited yes is education. In this discipline, many research methods are employed by scholars and lecturers to investigate the impact of different instructional approaches on learning and on the acquisition of skills and knowledge by learners. One of these methods is qualitative research, a scientific method grounded in observations that manipulates and analyses non-numerical data. It focuses on seeking answers to why and how a particular observed phenomenon occurs rather than on its occurrences. This study is aimed at exploring and discussing the impact of artificial intelligence on qualitative research methods in education. In particular, it focuses on how artificial intelligence can empower qualitative research methods, employed in education, for enhancing teaching and learning.

Dr. Luca Longo is an Academic, National Teaching Hero, AI researcher and TEDx speaker who has a deep passion for science and has won various awards both for his research work and for his teaching. He is actively engaged in the dissemination of scientific material to the public as his TEDx talks demonstrate. With his team of doctoral and post-doctoral researchers, he conducts fundamental research in Explainable Artificial Intelligence, Defeasible Reasoning and Non-monotonic Argumentation. He also performs applied research in Machine Learning and predictive data analytics, mainly applied to the problem of mental workload modelling. He is an advocate of motivational teaching and strongly supports learning through passion. Having gained invaluable education, work experience and international recognition he is strongly motivated to revolutionise the science of mental workload, pave a new research path with a significant impact for the future societies and become a world leader in his field.

Tech Day // Pause Fest 2016

What are the social, economic, political and ethical questions that we should ask in the face of rapid growth in AI technology? Does AI represent a brilliant opportunity, or could it be humanity’s last invention? Featuring Bradley Paton – Reactive, Joanna L. Batston – IBM Research-Australia, Prof Mary-Anne Williams – UTS, Toby Walsh – CSIRO.

Pause Fest is the premier creative tech conference for Asia Pacific. A catalyst for innovation, a uniter of industries, a platform for the future. Pause Fest stands for the content you can’t Google.

Find out more at www.pause.melbourne

Filming by oldsaltmedia.com

Professor Stuart Russell, one of the world’s leading scientists in Artificial Intelligence, has come to consider his own discipline an existential threat to humanity. In this video he talks about how we can change course before it’s too late.

His new book ‘Human Compatible: AI and the Problem of Control’ is out now: https://www.penguin.co.uk/books/307/307948/human-compatible/9780141987507.html

Watch full 41min interview on Ai: ► https://www.patreon.com/posts/45684565

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In today’s digital market, AI can be the key to unlocking the door to the future of customer experience. The ServIntuit’s virtual assistant harnesses the power by an AI engine to delight customers.

Artificial Intelligence In Real Everyday Life. Every single one of us encounters artificial intelligence multiple times each day. Even if we aren’t aware of it, artificial intelligence is at work, often behind the scenes, as we go about our everyday lives.

If you would like more information on this topic, please feel free to visit my website and sign up for content updates! I write articles every week on various different topics such as Big Data, AI and Key Performance Indicators.

Visit the Artificial Intelligence & Machine Learning topic page https://www.bernardmarr.com/default.asp?contentID=1314

Thanks for watching!

Explore the three major methods of machine learning, which allows computers to write their own rules to problem solve and process data.

Today, artificial intelligence helps doctors diagnose patients, pilots fly commercial aircraft, and city planners predict traffic. These AIs are often self-taught, working off a simple set of instructions to create a unique array of rules and strategies. So how exactly does a machine learn? Briana Brownell digs into the three basic ways machines investigate, negotiate, and communicate.

Lesson by Briana Brownell, directed by Champ Panupong Techawongthawon.

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Artificial Intelligence in Hindi | Free Course by Google | Machine Learning | Career, Scope

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EDUCATIONAL VIDEOS [हिंदी में ]
►Countries where Education is free for Indians | दुनिया के ऐसे देश जहां Education फ्री है✔https://www.youtube.com/watch?v=qDNG6H5qRA0&t=2s
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Peter Norvig, Research Director at Google, in conversation with Toby Walsh, UNSW Scientia Professor of Artificial Intelligence.

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Alexandre presented a connection between the trends in the use of AI for infrastructure in the world and how Brazil could benefit from this type of technology. [English CC]

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During the in-studio portion of our episode, “The Future of Humanity with Elon Musk,” Neil deGrasse Tyson, Bill Nye and co-host Chuck Nice discussed artificial intelligence and Musk’s concern that super-intelligent robots will turn us into their pets. They look at different levels of artificial intelligence: artificial narrow intelligence, artificial general intelligence (like IBM’s Watson), and artificial super intelligence, where the real concerns lie. Find out why Neil and Bill are not worried by doomsday scenarios highlighted in movies like “The Terminator,” “Colossus: The Forbin Project,” and “War Games,” or by the changes embodied in Ray Kurzweil’s concept of “The Singularity.”

This “Behind the Scenes” video was shot during the recording of our episode, ” The Future of Humanity with Elon Musk.” If you’d like to listen to the full podcast, click here: http://www.startalkradio.net/show/the-future-of-humanity-with-elon-musk/

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It is not the first time Musk has made frightening predictions about the potential of artificial intelligence — he has, for example, called AI vastly more dangerous than North Korea — and he has previously called for regulatory oversight.

The William G. McGowan Charitable Fund is a philanthropic family foundation established in 1993 to perpetuate William McGowan’s tradition of compassionate philanthropy and ethical leadership. Today, the Fund preserves the legacy of William McGowan while embodying his tireless spirit and determined optimism.

To this end, the Fund promotes, nurtures, and supports initiatives in three program areas: Education, Human Services, and Healthcare & Medical Research. Through the McGowan Fellows Program, the Fund supports and inspires emerging business leaders. In partnership with the nation’s leading graduate business programs, the Fund aims to imbue these future leaders with a framework for ethical decision-making and establish an ongoing dialogue on the importance of ethical practices.

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Hello friends, iss video me meine explain kia haiwell formed formula(wff) kya hota hai aur sath hi sath IGNOU ke previous year me se FOL ke upar diye gaye kuch conversion karke bataya hai.
Dosto agar koi dbout ho to mujhe comment karke ya mail karke bata sakte ho.
Thank you so much.

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well formed formula(wff) & FOL in artificial intelligence | IGNOU | MCSE-003
Exam Aasaan Hai !!!

Radhika is a professor at Harvard and a core faculty member of the Wyss Institute for Biologically Inspired Engineering. She studies collective behavior in biological systems and how such behaviors can be applied to computing and robotics.

Radhika Nagpal is the Kavli Professor of Computer Science at Harvard University and a core faculty member of the Wyss Institute
for Biologically Inspired Engineering. At Harvard, she leads the Self-organizing Systems Research Group (SSR) and her research combines
computer science, robotics, and biology. Her main area of interest is how cooperation can emerge or be programmed from large groups of
simple agents. Radhika Nagpal is a Core Faculty Member at the Wyss Institute for Biologically Inspired Engineering at Harvard, where she heads the Self-Organizing Systems Research Group in the study of collective behavior in biological systems and how such behaviors can be applied to computing and robotics. A professor at the Harvard School of Engineering and Applied Sciences (SEAS), her research draws on inspiration from social insects and multicellular biology, with the goal of creating globally robust systems made up of many cooperative parts.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

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