Gil's thesis research was focused on 3D Computer Vision and has been published at CVPR, the top computer vision research conference in the world. Datagen is a pioneer in the new field of Simulated Data, a subset of synthetic data, which concentrates on photo-realistically recreating the world around us. The company launched from stealth with over $18M in funding in March 2021 and is now working with a number of Fortune 100 companies in augmented/virtual reality, robotics, and automotive, including the majority of the top U.S. tech giants. What initially attracted you to robotics and machine learning? Sci-Fi books, like Isaac Asimov's Foundation Series and iRobot always got me thinking about a future in which robots were an integral part of our day-to-day lives.

On Wednesday's show we talked about Tesla's full self-driving mode, which it is about to make available to more drivers. And yes, the name implies that the cars will drive themselves. A human will still have to be in control. And that's where we are right now with self-driving cars. They might help you drive, but they might also make a mistake that causes an accident if you're not paying attention.

Five graduate students at Carnegie Mellon University's School of Computer Science have received Siebel Scholars awards for 2022. "Every year, the Siebel Scholars continue to impress me with their commitment to academics and influencing future society. This year's class is exceptional, and once again represents the best and brightest minds from around the globe who are advancing innovations in healthcare, artificial intelligence, financial services and more," said Thomas M. Siebel, chairman of the Siebel Scholars Foundation. "It is my distinct pleasure to welcome these students into this ever-growing, lifelong community, and I personally look forward to seeing their impact and contributions unfold." Ahuja is a Ph.D. candidate in the Human-Computer Interaction Institute (HCII) whose research focuses on machine learning and sensing.

AI-powered video analytics start-up CattleEye is in a field of its own having won the Irish leg of KPMG's Global Tech Innovator Competition. Belfast-based tech start-up CattleEye has won the top prize at KPMG's tech innovator competition, which saw entrants from all over Ireland. CattleEye uses AI-powered video analytics to keep an eye on cows. The start-up's CEO Terry Canning impressed the panel of judges, who also heard from eight other business people hoping to be crowned Ireland's top tech innovator. Canning's CattleEye will now progress to KPMG's Global Tech Innovator competition, which will be held at the Web Summit in Lisbon.

The police force will find it easier, safer and cheaper to employ robots. They can run ID's, apprehend or de-escalate a situation just like a human can! Obviously the drawback is robots (machines) can easily be stronger than humans and how can you plead with an un-empathetic robot to let you off the hook for something? Worse, what if a cop-bot gets it wrong and hauls in the wrong person?! Bottom line, humans will welcome this and such technology can ALWAYS rely on human input to verify/check/monitor all activity. What do you think about these future predictions? Would you love AI to choose and print your unique wardrobe for the year?

This is a Women in AI Podcast transcript, for this interview we have Wendy Gonzalez, CEO at Sama, speaking with us about high-quality data training and what she's getting up to in her current role. We hope you enjoy the episode. Listen to the podcast here. So today I'm joined by Wendy Gonzalez on our Women in AI podcast episode, who is the Interim CEO of Sama, and I'm really excited to speak to her today. Hi, Wendy, how are you?

For years now, artificial intelligence has been hailed as both a savior and a destroyer. The technology really can make our lives easier, letting us summon our phones with a "Hey, Siri" and (more importantly) assisting doctors on the operating table. But as any science-fiction reader knows, AI is not an unmitigated good: It can be prone to the same racial biases as humans are, and, as is the case with self-driving cars, it can be forced to make murky split-second decisions that determine who lives and who dies. Like it or not, AI is only going to become an even more omnipresent force: We're in a "watershed moment" for the technology, says Eric Schmidt, the former Google CEO. Schmidt is a longtime fixture in a tech industry that seems to constantly be in a state of upheaval. He was the first software manager at Sun Microsystems, in the 1980s, and the CEO of the former software giant Novell in the '90s. He joined Google as CEO in 2001, then was the company's executive chairman from 2011 until 2017. Since leaving Google, Schmidt has made AI his focus: In 2018, he wrote in The Atlantic about the need to prepare for the AI boom, along with his co-authors Henry Kissinger, the former secretary of state, and the MIT dean Daniel Huttenlocher. The trio have followed up that story with The Age of AI, a book about how AI will transform how we experience the world, coming out in November.

The'Outnumbered' panel reacts to Sunny Hostin and Ana Navarro being pulled from the set moments before the vice president was set to arrive Ana Navarro, one of two co-hosts who were pulled from ABC's "The View" live on air Friday due to positive COVID-19 tests, has since revealed the results that caused the chaos were false positives. Producers informed Navarro and Sunny Hostin in their earpieces halfway through Friday's broadcast that they would have to leave the Hot Topics table, leaving Joy Behar and Sara Haines to conduct the rest of the show on their own. The remaining hosts often struggled to kill time, at one point taking questions from the audience, but often not being able to hear the questions that were muffled by their masks. Friday's drama was even more pronounced considering Navarro and Hostin were pulled just as Vice President Kamala Harris was on her way to the studio for an in-person interview. Even though Harris made it to the building, producers explained her appearance would end up taking place remotely from a separate room out of precaution.

You probably know Michelle Zauner best as the frontwoman of the band Japanese Breakfast, or perhaps as the author of her recent bestselling memoir Crying in H Mart. But the multihyphenate has yet another role to add to her résumé: video game composer. First announced in 2017, Sable is a sprawling adventure game about the titular young hero venturing across a desert planet to return to her family of nomads. Zauner provides the musical backbone to Sable's journey, crafting a set of themes big and small to deepen the game's world. Coming from the world of indie rock, though, posed an interesting set of challenges for the artist--but ones that a life of playing fantasy role-playing video games like this one prepared her for.

Jacob Steinhardt (Google Scholar) (Website) is an assistant professor at UC Berkeley. His main research interest is in designing machine learning systems that are reliable and aligned with human values. Some of his specific research directions include robustness, rewards specification and reward hacking, as well as scalable alignment. His most recent paper at ICLR 2021 proposes a new test to measure an NLP model's accuracy on a wide variety of tasks, ranging from mathematics, US history, law, and more. It provides a measurement tool to help researchers specify an important problem: while current models can achieve superhuman performance on benchmarks, they lack the ability to understand language on a whole. Another of Jacob's papers at ICLR focuses on measuring a language model's knowledge of basic concepts of morality. It shows that current language models have a promising but incomplete ability to predict basic human ethical judgements. "Test accuracy is a very limited metric." "You might not be able to get lots of feedback on human values." Below are the show notes and full transcript. As always, please feel free to reach out with feedback, ideas, and questions! I think it required me to learn to become a significantly better writer. And I think that helped later on, because it made me feel more comfortable pursuing unusual ideas. I knew I had the skills to present those ideas. As long as I believed in them, I could get other people to believe in them." You just want this very diverse distribution of things that are deeply ingrained in evolutionary history as opposed to being part of explicit reasoning" First of all, test accuracy is a very limited metric. What are we trying to do with it? For a while, there was a lot of climate skepticism or climate denial. At some point it becomes pretty clear, when there's regular heat waves fires and that sort of thing. You probably wanted to do something about it before that point. Having these more subtle measurements that you can look at are important. And the other thing is I think it actually laid the groundwork for the more extreme weather events to become a convincing signal. Jacob Steinhardt: Another thing that I'm interested in is just measuring the progress in capabilities, getting different AI capabilities seems important. Vision tasks just seem to be falling like flies. I don't know if there's any vision tasks that's survived for more than a year and a few tasks seem a little bit better, but I think those are also starting to fall like flies. I know we've come up with a few harder tasks. ML Systems are still not very good at math. Humans also aren't very good at math, but also not good at law it turns out.