The story behind this product: Lotfi Aliasker Zadeh (February 4, 1921 – September 6, 2017) was a mathematician, computer scientist, electrical engineer, artificial intelligence researcher and professor emeritus of computer science at the University of California, Berkeley. Zadeh was best known for proposing fuzzy mathematics consisting of these fuzzy-related concepts: fuzzy sets, fuzzy logic, fuzzy algorithms, fuzzy semantics, fuzzy languages, fuzzy control, fuzzy systems, fuzzy probabilities, fuzzy events, and fuzzy information. On November 30, 2021, Google celebrated the submission of "Fuzzy Sets," a groundbreaking paper that introduced the world to his innovative mathematical framework called "fuzzy logic with a Google Doodle. This file contains 1 page of Lotfi Zadeh Word Search Puzzle with 30 Lotfi Zadeh themed Words and 1 page with its solution. The 30 words are hidden in all directions, making the word search challenging.

AZEEM AZHAR: Welcome to The Exponential View podcast where multidisciplinary conversations about the near future happen every week. Now, as an entrepreneur, investor, and analyst I've been inside the technology industry for over 20 years. During that time, I've observed that exponentially developing technologies are changing the face of our economies, business models, and culture in unexpected ways. Now, I return to this question every week in my newsletter Exponential View, in this podcast, as well as in my recent book The Exponential Age. So, in today's edition I wanted to look back and forward on one of the key technologies of the exponential age, artificial intelligence. We're about a decade into the current industrial boom in AI and I thought it was time to take a scorecard, look at what we've achieved, and how and perhaps what we didn't on which milestones have surprised us. To help me I called on a great experts Murray Shanahan, a senior research scientist at London's DeepMind, as well as a professor of cognitive robotics at Imperial College in London. Murray works on machine learning, consciousness, the impacts of artificial intelligence. He and I have known each other for a few years and have indeed done a podcast together previously. We appeared as guests on a show hosted by a technology investor. So, my challenge to Murray today was not simply to access the last 10 years of development, but to look forward to the next 10. It's a bold challenge and we did our best to look forward as well as back. MURRAY SHANAHAN: It's very nice to be here.

Across the globe, artificial intelligence (AI) continues to have a fundamental influence on business due to the pandemic induced disruption and growing use cases. Various studies show that AI adoption is nearing a tipping point and would shortly become a ubiquitous technology. Almost one-third of IT professionals in a global survey by IBM Institute for Business Value (IBV) said their company was using AI, even as half of them revealed their companies were exploring the technology. In India, over half of Indian IT professionals reported that their companies had accelerated the roll out of AI. As AI adoption rises, what is the roadmap that companies should consider, particularly those who are either evaluating adoption or have not yet achieved maturity in deployment?

In 2015, Elon Musk, Bill Gates and the late Stephen Hawking were rather incongruously nominated for the 2015 Luddite Award -- an honor bestowed by the Information Technology & Information Foundation for "The Worst of the Year's Worst Innovation Killers." Musk, Gates and Hawking -- along with many others -- had expressed growing concerns over the potential risks of naïve and irresponsible developments in artificial intelligence, commonly referred to as AI. In spite of their collective technological optimism, the speed of recent advances had them running scared. Six years on, the debate over the potential risks of AI, and how to ensure its ethical and responsible development and use, is fiercer than ever -- so much so that the White House has just committed to developing a "bill of rights" to guard against the inappropriate use of AI and similarly powerful tech. Yet, as with many technology trends, the challenges and opportunities AI presents are more complex than they may at first seem.

'Gutfeld!' panel reacts to CNN's suspension of Chris Cuomo after texts reveal the lengths he went to aid his brother Andrew Cuomo amid sex scandal This is a rush transcript from "Gutfeld!," This copy may not be in its final form and may be updated. So, all is not well at CNN. Yes, there is more friction in the fake news factory than there is between Stelter's thighs, while wearing his favorite pair of Lulu lemons. I speak of the network home of hysterics hall monitors in one anchor who would make a great well anchor. As you know, Chris Cuomo is in more hot water than a package of ramen noodles. He just got suspended indefinitely. According to the New York Attorney General's Office, Chris was far more involved in his brother's damage control efforts than previously admitted. Fake news, CNN is totally fake. Now, as you know, Andrew Cuomo, the ex- governor was accused of sexual harassment multiple times. The guy touched more women than Pete Davidson at a wrap party. Chris admitted to helping his brother out in fighting the accusations, and who wouldn't help his brother really. But new documents reveal he was in regular touch with his bros' former top aide and his accusations piled up, Chris demanded knowing when damaging articles would come out, promising he'd uses media connections to help his sleazy sibling. So, this is turning into the best lifetime movie I've ever seen. And I've seen them all, including the 12 men of Christmas. Now, previously, Chris said he never made calls to the press about his brother. And why shouldn't we believe him? He's been so honest before. A little sweaty, just worked out happens. This is where I've been dreaming of. Now, to pull that off, you need a blind spot the size of Wendy Williams's feet. TYRUS, FOX NEWS CHANNEL CONTRIBUTOR (voice-over): Nice, that was good. TYRUS: That was -- GUTFELD: But it seems like Chris was indeed gathering Intel, including dirt on one accuser.

The thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) will be held from Monday 6 December to Tuesday 14 December. This week, the awards committees announced the winners of the outstanding paper award, the test of time award and – for the first time – the best paper award in the new datasets and benchmarks track. Six articles received outstanding paper awards this year. A Universal Law of Robustness via Isoperimetry Sébastien Bubeck and Mark Sellke The authors propose a theoretical model to explain why many state-of-the-art deep networks require many more parameters than are necessary to smoothly fit the training data. On the Expressivity of Markov Reward David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael Littman, Doina Precup and Satinder Singh This paper provides a clear exposition of when Markov rewards are, or are not, sufficient to enable a system designer to specify a task, in terms of their preference for a particular behaviour, preferences over behaviours, or preferences over state and action sequences.

By now we all understand the trade-off involved in using the Internet: We let companies collect data about us, and in return they offer a more personalized user experience. But what if I told you that the long-term arc of this trade-off is beyond anything you can possibly imagine? Everything we do online generates data, which platform companies carefully collect and categorize to create digital profiles. Their artificial intelligence (AI) systems then correlate our digital profiles with those of other users to determine what we see online: how our search queries are interpreted, what posts are included in our social media feeds, what adverts we are shown, and so on. This kind of micro-targeting, based on individual psychological profiling, exploits what Daniel Kahneman, 2002 Nobel prize winner in economics, called "fast" thinking – the decisions we make quickly and without conscious consideration, such as whether to click on a link, watch another video, keep scrolling through our timeline, or put down the phone.

Video surveillance has long been a necessary tool for law enforcement to keep communities safe and reduce crime. Yet sifting through hundreds of hours of footage can be time-consuming and slow down investigations. Video content analytics make this footage significantly more valuable by extracting, identifying and classifying video metadata, making the footage searchable, actionable and quantifiable. The ability to efficiently review, analyze, and respond to events captured by video surveillance has revolutionized law enforcement operations. Video analytics help these agencies accelerate investigations, attain situational awareness, and derive operational intelligence.

Welcome to our November 2021 monthly digest where you can catch up with any AIhub stories you may have missed, get the low-down on recent events, and much more. We have a bumper edition this month covering science communication, avoiding AI hype, events, awards, AI thanksgiving, and much, much more. We have not one, but two discussions to bring you this month. The first, AIhub coffee corner: are deep learning's returns diminishing?, was stimulated by an article that appeared recently in IEEE Spectrum. The article reported that deep-learning models are becoming more and more accurate, but that the computing power needed to achieve this accuracy is increasing at such a rate that, to further reduce the error, the cost and environmental impact is going to be unsustainably high.

Preface: Three decades ago while working at Air Force Research Laboratory, I developed the first interactive Augmented Reality system, enabling users to reach out and touch a mixed world of real and virtual objects. I was so inspired by the reactions people had when they tried those early prototypes, I founded one of the first VR companies in 1993, Immersion Corp, and later founded the early AR company, Outland Research. Yes, I've been a believer for a long time. Looking forward, I expect augmented reality to become the platform of our lives, replacing smartphones as our primary means of accessing digital content. I still believe in the magical potential, but also fear the negative consequences. To paint a balanced picture of what our augmented lives will be like ten years from now, I've written the short narrative below. Like any fictional forecast it will not play out exactly like this, but I'm confident that the convergence of augmented reality and artificial intelligence will make much of this portrayal come true. It was a tiny room no larger than a walk-in closet. A small woman in a crisp white lab coat stood beside a large optometry machine, its smooth black surface covered in silver dials and knobs and levers. Flipping between settings she asked, "Better or worse?" "Better," rang a voice from behind the contraption. The woman pulled the machine forward, revealing Gordon Pines, squinting as the overhead lights suddenly came on. Balding with gray stubble, he looked older than his 68 years would suggest. That's because he was tired -- exhausted from the simple act of leaving his small apartment and venturing out into the busy city. Chicago had been his home for three decades but somehow it just didn't feel familiar anymore.