'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.

Every company worth its weight is set on achieving practical and scalable artificial intelligence and machine learning. However, it's all much easier said than done -- to which AI leaders within some of the most information-intensive enterprises can attest. For more perspective on the challenges of building an AI-driven organization, we caught up with Jing Huang, senior director of engineering and machine learning at Momentive (formerly SurveyMonkey), who shares the lessons being learned as AI and ML are rolled out. Q: AI and machine learning initiatives have been underway for several years now. What lessons have enterprises been learning in terms of most productive adoption and deployment?

House of Gucci, in theaters this week, is ostensibly a drama about the family behind the Italian fashion house, but it is soon clear what the movie is really about: accents. It's a showcase for stars like Lady Gaga, Adam Driver, and Al Pacino to test-drive their Italian and Italian-accented English, and critical reactions have been mixed, to say the least: Lady Gaga was slammed by one expert for sounding more Russian than Italian, and Jared Leto earned comparisons to a certain cartoon plumber. How fair is all this grousing? To get an expert's perspective on the matter, Slate spoke to Garrett Strommen, who runs a Los Angeles company that offers language lessons and dialect coaching, among other services. Strommen has worked as a dialect coach and consultant for TV, movies, commercials, video games, and more, and agreed to explain exactly what is going on with Gaga and Leto in House of Gucci. Our conversation has been edited and condensed. Heather Schwedel: Can you tell me about your background with Italian?

Top Irish innovators have been recognised at the third annual AI Awards, with STATSports, Fire1, ACI Worldwide and Infant Research Centre among this year's winners. The awards are designed to support the development of data science, machine learning, and artificial intelligence (AI) in Ireland, recognising how AI can be used ethically to help solve some of the biggest business, academic, environmental and health challenges facing our society today. University College Cork's Infant Centre, which uses deep learning to detect neonatal seizures, won an award for the best application of AI in an academic research body, beating competition from shortlisted entries Maynooth University for Terrain AI, and Tyndall National Institute for Wearable AI.It is the third time the centre has won the award. ACI Worldwide was named best application of AI in a Large Enterprise for its development of a patented technology to transform fraud prevention in the payment solutions sector. Also shortlisted in the category was Bank of Ireland, Zalando and Shutterstock.

Third Annual Awards Celebrate Irish AI Innovation across diverse sectors The 2021 AI Awards winners are: ACI Worldwide for the best application of AI in a Large Enterprise Terrain AI wins for the Best Application of AI to achieve Social Good INFANT Research Centre wins for a third year for Best Application of AI in an Academic Research Body Webio wins the award for Best Use of AI in a Consumer/Customer Service Application EdgeTier snaps the Best Application of AI in a Start-up award FIRE1 wins the Intelligent Automation – Best Use of RPA & Cognitive award STATSports recognised for Best Use of AI in Sector Eoin Kenny, University College Dublin wins the Best Application of AI in a Student Project award Dublin 25th November 2021: STATSports, FIRE1, ACI Worldwide, and INFANT Research Centre are amongst the top Irish AI innovators recognised by AI Ireland at the third annual AI Awards ceremony, sponsored by Microsoft...