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Last Week in AI #177: OpenAI commercializes DALL-E 2, Sony AI beats human competitors in racing game, Gmail getting smarter searches, and more!


Last week OpenAI moved DALL-E 2, the image generation tool, into Beta (the company hopes to expand its current user base to 1 million) while granting users the "the right to reprint, sell, and merchandise" images they generate with DALL-E. This is useful for users who wish to use the generated images for commercial purposes, like making illustrations for children's books. Other openly available AI image generation models face similar problems. Also, it's not clear if OpenAI violated any IP laws for just training on these Internet images and then commercializing their model. While the UK is exploring allowing commercial use of models trained on public but trademarked data, the U.S. may not follow suit.

Artificial Intellgence -- Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021

arXiv.org Artificial Intelligence

The TriRhenaTech alliance presents the accepted papers of the 'Upper-Rhine Artificial Intelligence Symposium' held on October 27th 2021 in Kaiserslautern, Germany. Topics of the conference are applications of Artificial Intellgence in life sciences, intelligent systems, industry 4.0, mobility and others. The TriRhenaTech alliance is a network of universities in the Upper-Rhine Trinational Metropolitan Region comprising of the German universities of applied sciences in Furtwangen, Kaiserslautern, Karlsruhe, Offenburg and Trier, the Baden-Wuerttemberg Cooperative State University Loerrach, the French university network Alsace Tech (comprised of 14 'grandes \'ecoles' in the fields of engineering, architecture and management) and the University of Applied Sciences and Arts Northwestern Switzerland. The alliance's common goal is to reinforce the transfer of knowledge, research, and technology, as well as the cross-border mobility of students.

Robo-taxis are headed for a street near you

MIT Technology Review

In the coming years, mobility solutions--or how we get from point A to point B--will bridge the gap between ground and air transportation--yes, that means flying cars. Technological advancements are transforming mobility for people and, leading to unprecedented change. Nand Kochhar, vice president of automotive and transportation for Siemens Software says this transformation extends beyond transportation to society in general. "The future of mobility is going to be multimodal to meet consumer demands, to offer a holistic experience in a frictionless way, which offers comfort, convenience, and safety to the end consumer." Thinking about transportation differently is part of a bigger trend, Kochhar notes: "Look at few other trends like sustainability and emissions, which are not just a challenge for the automotive industry but to society as a whole." The advances in technology will have benefits beyond shipping and commute improvements--these technological advancements, Kochhar argues, are poised to drive an infrastructure paradigm shift that will bring newfound autonomy to those who, today, aren't able to get around by themselves. Kochhar explains, "Just imagine people in our own families who are in that stage where they're not able to drive today. Now, you're able to provide them freedom." Laurel Ruma: From Technology Review, I'm Laurel Ruma, and this is Business Lab, the show that helps business leaders make sense of new technologies coming out of the lab and into the marketplace. Our topic today is the future of mobility. In 2011, Marc Andreessen famously said, "Software is eating the world."

Why Artificial Intelligence Isn't Intelligent


This might seem like a purely academic debate. Whatever we call it, surely what matters most about "AI" is the way it is already transforming what can seem like almost every industry on earth? Not to mention the potential it has to displace millions of workers in trades ranging from white to blue collar, from the back office to trucking? And yet, across the fields it is disrupting or supposed to disrupt, AI has fallen short of many of the promises made by some of its most vocal advocates--from the disappointment of IBM's Watson to the forever-moving target date for the arrival of fully self-driving vehicles. And--ask any branding or marketing expert--names, in particular, carry weight.

Daily Crunch: Before the pandemic, Expensify made remote work cool and profitable – TechCrunch


To get a roundup of TechCrunch's biggest and most important stories delivered to your inbox every day at 3 p.m. PDT, subscribe here. Welcome to Daily Crunch for May 25, 2021. Whether you are a developer, a startup fanatic or merely someone with wanderlust, we have something for everyone today. Well, except for disappointed investors in Lordstown Motors. They are stuck holding the bag today after the American electric vehicle company announced a pretty awful set of earnings.

Zoox CEO on the Future of EVs and Autonomous Vehicles


I also report and write about the automotiveindustry for Bloomberg News and I'm delighted to be joined by Zeke's CEO Aisha Evans. Aisha has been in the role sinceFebruary 2019. Before that she was a senior vice president and chief strategy officer at Intel where she really helped Intelmove from a P.C. centric to data driven business model. Aisha thank you very much for joining us. Thank you for having me. So a good place to start for the audience. What is Duke's.Xbox is transforming mobility on demand and mobility as a service. And this is really about making personal transportationcleaner safer and more more enjoyable for everyone. It feels like we've been talking about the idea of autonomy robotaxis for years and years now.

The Unbearable Shallowness of "Deep AI"


Since people invented writing, communications technology has become steadily more high-bandwidth, pervasive and persuasive, taking a commensurate toll on human attention and cognition. In that bandwidth war between machines and humans, the machines' latest weapon is a class of statistical algorithm dubbed "deep AI." This computational engine already, at a stroke, conquered both humankind's most cherished mind-game (Go) and our unconscious spending decisions (online). This month, finally, we can read how it happened, and clearly enough to do something. But I'm not just writing a book review, because the interaction of math with brains has been my career and my passion. Plus, I know the author. So, after praising the book, I append an intellectual digest, debunking the hype in favor of undisputed mathematical principles governing both machine and biological information-processing systems. That makes this article unique but long. "Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World" is the first book to chronicle the rise of savant-like artificial intelligence (AI), and the last we'll ever need. Investigative journalist Cade Metz lays out the history and the math through the machines' human inventors. The title, "Genius Makers," refers both to the genius-like brilliance of the human makers of AI, as well as to the genius-like brilliance of the AI programs they create. Of all possible AIs, the particular flavor in the book is a class of data-digestion algorithms called deep learning. Metz's book is a ripping good read, paced like a page-turner prodding a reader to discover which of the many genius AI creators will outflank or outthink the others, and how. Together, in collaboration and competition, the computer scientists Metz portrays are inventing and deploying the fastest and most human-impacting revolution in technology to date, the apparently inexorable replacement of human sensation and choice by machine sensation and choice. This is the story of the people designing the bots that do so many things better than us.

Biggest influencers in future cities in Q4 2020: The top individuals to follow


GlobalData research has found the top influencers in future cities based on their performance online and on social media.Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people and companies in digital construction on Twitter during Q4 2020. Ronald Van Loon is a principal analyst and CEO of the Intelligent World, an influencer network connecting businesses and experts with new tech, artificial intelligence (AI), analytics, and data enthusiasts. He is a recognised thought leader in technologies such as AI, the internet of things (IoT), machine learning, and 5G, among others. Loon is an advisory board member at Simplilearn, an education management company and has also served as director of Advertisement, an information technology and services company. Glen Gilmore is the founding faculty for digital marketing programmes at the Rutgers University School of Business.

How Volkswagen's $50 Billion Plan to Beat Tesla Short-Circuited

WSJ.com: WSJD - Technology

The car, however, didn't work as advertised. It could drive, turn corners and stop on a dime. But the fancy technology features VW had promised were either absent or broken. The company's programmers hadn't yet figured out how to update the car's software remotely. Its futuristic head-up display that was supposed to flash speed, directions and other data onto the windshield didn't function.

2024 will be the year Apple and Amazon releases us from our automotive prison


As a product of Gen X, I am perhaps among the last generation to be obsessed with the notion of car ownership. I love the different body designs. I love how each one drives differently. I love the history and culture that surrounds the different automotive brands. I love the activity of going out for rides with no objective other than to take the top down on my Camaro convertible and drive.