Leonard Hobbs Bio: Leonard graduated from University College Cork Ireland in 1986 with a 1st class honours degree in Electrical Engineering and was awarded the title of'graduate of the year' by the college. He completed a Masters degree at the NMRC (now called Tyndall), at UCC in 1988. He has been one of Ireland's leading technologists in the ICT sector with close to 30 years of experience, mostly with Intel, spanning leading edge research to advanced manufacturing. His last role at Intel was Director of Public Affairs with responsibility for driving Intel Ireland's policy, communications, education and community agendas. Leonard is currently the Director of Research and Innovation at Trinity College Dublin where he owns the definition and implementation of the research, innovation and enterprise strategy for the University spanning research programs development, contract management, technology transfer, entrepreneurship and enterprise partnership liaison.

Distributed artificial intelligence solutions on the edge of the network is important research topic within the 6G development. The EdgeAI Special Interest Group, which is coordinated together with the 6G and FCAI Flagships, is delighted to present a special session on AI for 6G within the 6G Summit in Levi, Lapland. This special session highlights the current state of the art of edge-driven artificial intelligence research in Finland with invited research talks. As an international guest assistant professor Aaron Ding from TU Delft, Netherlands, shares his view to building EdgeAI solutions towards 6G era. The session ends with a panel of the speakers.

Can you explain what is underfitting and overfitting in the context of machine learning? Describe it in a way even a non-technical person will grasp. Your ability to explain this in a non-technical and easy-to-understand manner might well decide your fit for the data science role! Even when we're working on a machine learning project, we often face situations where we are encountering unexpected performance or error rate differences between the training set and the test set (as shown below). How can a model perform so well over the training set and just as poorly on the test set?

Hoan Ton-That, CEO of creepy facial recognition company Clearview AI, made the bold claim on Tuesday that his company has the right to publicly posted photos on Twitter and wielded the First Amendment as his reason. Clearview AI faced heat after it was discovered they had mined billions of publicly accessible images from Facebook and Ton-That's comments prove the company isn't backing down. EXCLUSIVE: The founder of a facial recognition company described as both "groundbreaking" and "a nightmare" is speaking out. In an interview with CBS This Morning, Ton-That was asked about Twitter's cease-and-desist order requesting that his company stop scraping it's data and delete everything Clearview AI has collected from the platform. In response, the facial recognition CEO claimed his company has a first amendment right to the data.

If you ever have some moments of spare time, in which you really don't know what to do…, well: then what about chatting some minutes with a bot? And I believe, actually it is! But… there is also a reasonable motivation for doing it. I think that we human beings should talk from time to time with these programs, just to verify if it is really true that they are becoming more "intelligent" as time goes by. One of the world's best chatbots (or maybe even the best at all) is Mitsuku. Its creators present this conversational AI as 18-year girl on their website https://www.pandorabots.com/mitsuku/, The last time I chatted with her was about one year ago.

Stuart Russell, a leading artificial-intelligence (AI) researcher at the University of California, Berkeley, and author of the book Human Compatible (Penguin Random House, October 2019), sits down with McKinsey Global Institute chairman James Manyika to discuss our future as AI transforms our world. In this broad conversation, they explore the immense benefits ahead and what our role will be as AI becomes more pervasive. They also delve into potential challenges we may face with our current approach to AI, and how we can redefine AI to ensure it helps humanity achieve its full potential. James Manyika: When you look at the AI field today and you see all these announcements and breakthroughs, what excites you the most? Stuart Russell: With today's technology, delivering high-quality education to everybody on Earth is just the beginning. Even fairly simple AI tutoring tools have been shown to be very effective. So that can only get better if we figure out how to roll it out to the people who really need it.

The past two years have seen a record number of women elected to board positions. According to a report on U.S. Board Diversity Trends posted by Harvard Law School, 46% of newly elected directors in 2019 were female and women now hold 27% of directorships across the S&P 500 companies. One of those newly elected members is Wendy Pfeiffer (pictured), chief information officer of Nutanix Inc. and board director with Qualys Inc. and Girls in Tech Inc. "When I was recruited for the board [of Qualys] … we didn't talk about the fact that I am female at all. We talked about the fact that I'm an operator, that I'm a technologist," Pfeiffer told Jeff Frick (@JeffFrick), host of theCUBE, SiliconANGLE Media's mobile livestreaming studio during the Qualys Security Conference in Las Vegas. During the interview, Pfeiffer and Frick discussed how the growth of artificial intelligence is helping data security, making having a diverse workforce more critical than ever.

Dr. Dong Yu is a principal researcher at Microsoft Research. His research has been focusing on speech recognition and applications of machine learning techniques. He has published two monographs and over 150 papers in these areas and is the inventor/co-inventor of near 60 granted/pending patents. His recent work on the context-dependent deep neural network hidden Markov model (CD-DNN-HMM), which was recognized by the IEEE SPS 2013 best paper award, caused a paradigm shift on large vocabulary speech recognition. Dr. Dong Yu is currently serving as a member of the IEEE Speech and Language Processing Technical Committee (2013-).

While AI and machine learning are enabling definite advances in the digital world, these technologies are also raising privacy and ethical concerns. What does AI mean for personal privacy, and is it being exploited unethically? Are these concerns being addressed, or will AI spell disaster for society? Bernd Stahl is coordinator of the EU's SHERPA project, a consortium that investigates the impact of AI on ethics and human rights. Bernd stopped by for episode 34 of Cyber Security Sauna to discuss the delicate balance of AI – its advantages and disadvantages, potential misuses and how AI may improve life and create opportunity for some, while others may be hurt by algorithmic biases and unemployment. Listen, or read on for the transcript. And don't forget to subscribe, rate and review! Janne: So Bernd, how would you frame the work that the SHERPA project is doing? Bernd: SHERPA is trying to explore which ethical issues arise due to the use of AI. We're looking at human rights components in a variety of ways, and we are, as part of the overall work of the project, trying to explore which options of addressing possible ethical and human rights issues exist, which ones of those are important, and which ones of those need to be emphasized. Overall we hope to come up with a set of recommendations and proposals for the European Commission, but also for other stakeholders, that will help them deal with any issues that they may encounter.

WELLINGTON – Mike Moore, who served as New Zealand's prime minister before leading the World Trade Organization during a tumultuous time when thousands protested in Seattle riots, died early Sunday. He died at his home in Auckland, his wife Yvonne Moore said. He had suffered a number of health complications since having a stroke five years ago. Moore was an advocate for both advancing the rights of blue-collar workers and for expanding international trade, a combination which, to some, seemed at odds with itself. Although he had a long political career in New Zealand, Moore's tenure as prime minister was brief: just two months in 1990 before he was defeated in an election.