I recently caught up with Ian Hogarth and Nathan Benaich, who each year produce The State of AI Report, a must-read snapshot of how commercial applications of A.I. are evolving. Benaich is the founder of Air Street Capital, a solo venture capital fund that is one of the savviest early-stage investors in A.I.-based startups I know. Hogarth is the former co-founder of concert discovery app Songkick and has since go on to become a prominent angel investor as well one of the founders behind the founder-lead European venture capital platform Plural. There's always a lot to digest in their report. But one of the key takeaways from this year's State of AI is that concerns established tech giants and their affiliated A.I. research labs would monopolize the development of A.I. have been proven, if not exactly wrong, then at least premature. While it is true that Alphabet (which has both Google Brain and Deepmind in its stable), Meta, Microsoft, and OpenAI (which is closely partnered now with Microsoft) are building large "foundational models" for natural language processing and image and video generation, they are hardly the only players in the game.

Jaron Lanier, the eminent American computer scientist, composer and artist, is no stranger to skepticism around social media, but his current interpretations of its effects are becoming darker and his warnings more trenchant. Lanier, a dreadlocked free-thinker credited with coining the term "virtual reality", has long sounded dire sirens about the dangers of a world over-reliant on the internet and at the increasing mercy of tech lords, their social media platforms and those who work for them. Nothing about the last few weeks – of chaos on Twitter and the ever-increasing spread of conspiracy theory and disinformation – has changed that. The current state of the tech industry is ripe with danger and poses an existential threat, he believes. "People survive by passing information between themselves," Lanier, 61, told the Guardian in an interview.

This is an opinion editorial by Sydney Bright, a professional science writer on the topic of health benefits from mindfulness-based practices. Where is technology taking us? Will robots surpass our intelligence and replace us altogether? Will we combine with machines in some symbiotic merge that creates a new super being? Or are machines merely tools that will allow our more fundamental nature to thrive? In this article, I will argue that technology is how human beings will be able to return to a more natural life that is devoid of the harsh realities that existed 10,000 years ago. Those who are aware of my work on the science of meditation ask me why there is also a discussion of economics and Bitcoin on my blog. First, I feel that any curious mind should be well-rounded: Multiple fields of study are worth pursuing, as they all compile a more complete understanding of reality. At first, I felt that they were simply separate interests of mine. However, now I have come to realize that they are partly connected and suggest an exciting forecast for humanity's future.

Lithuania's Foreign Minister, Gabrielius Landsbergis, talked with Fox News Digital about Russia, China and the'global rules-based order' on the 20th anniversary of his country joining NATO. Lithuania commemorated its entry into NATO this last week and its long-standing partnership with the U.S. as leaders look ahead to the increasingly complex security landscape developing around the world. President George W. Bush visited the Lithuanian capital of Vilnius 20 years ago to welcome the country into the still-growing NATO alliance, applauding the character of member states to "stand in the face of evil, to have the courage to always face danger." "President [George W.] Bush made the most famous speech any American has ever made in Lithuania exactly 20 years ago," Lithuanian Foreign Minister Gabrielius Landsbergis told Fox News Digital in an exclusive interview. "That was even before we were a member of NATO, and it was probably the most important security guarantee that we got before Article Five started covering us with its umbrella."

I talked to her about the significance of the role in The Peripheral, where she plays a trans person in the future. The show is based on a novel by William Gibson, who coined the term cyberspace, and it was produced by Westworld creators Lisa Joy and Jonathan Nolan. It's a complicated story that moves around in time and explores whether the digital world is real or not. And the show is different from the book, as it uses Gibson's story as a jumping off point for ideas about our future. And that gives Billings some interesting leeway to play Lowbeer as a trans person in the show.

A personal, guided tour to the best scoops and stories every day in The Wall Street Journal. Dr. Frederick P. Brooks Jr. liked building things, first laying foundations for modern computer systems at International Business Machines Corp. and later at the University of North Carolina, where he started the computer-science department. Dr. Brooks managed the development of IBM's System/360 family of compatible mainframe computers and then the software system that went with them during the 1960s. The computers became some of IBM's most popular models of the era, offering customers a choice of big or small computers with different processing speeds that could be used for both business and scientific tasks. The system was easy to expand since all the hardware ran off the same software, a departure from other systems that required software reprogramming when computers were added.

Deep neural networks (DNNs), are widely used in many industries such as image recognition, supply chain, medical diagnosis, and autonomous driving. However, prior work has shown the high accuracy of a DNN model does not imply high robustness (i.e., consistent performances on new and future datasets) because the input data and external environment (e.g., software and model configurations) for a deployed model are constantly changing. Hence, ensuring the robustness of deep learning is not an option but a priority to enhance business and consumer confidence. Previous studies mostly focus on the data aspect of model variance. In this article, we systematically summarize DNN robustness issues and formulate them in a holistic view through two important aspects, i.e., data and software configuration variances in DNNs. We also provide a predictive framework to generate representative variances (counterexamples) by considering both data and configurations for robust learning through the lens of search-based optimization.

I want to share an experiment with you. The latest posts have been a streak of not-so-good news, non-optimistic takes, and anti-hype arguments. I think it's paramount to talk about all that, but it's as important to let a positive vibe out every so often. Otherwise, we risk burning out--and I don't want that! That's why today I bring you a different perspective on AI.

Center for American Security's Fred Fleitz unpacks the national security risks posed by China's access to TikTok data and Chinese-made drones flying over Washington D.C. World Economic Forum founder and Chair Klaus Schwab recently sat down for an interview with a Chinese state media outlet and proclaimed that China was a "role model" for other nations. Schwab, 84, made these comments during an interview with CGTN's Tian Wei on the sidelines of last week's APEC CEO Summit in Bangkok, Thailand. Schwab said he respected China's "tremendous" achievements at modernizing its economy over the last 40 years. FILE: World Economic Forum (WEF) founder and Executive Chairman Klaus Schwab sits, as German Chancellor Olaf Scholz (not pictured) addresses the delegates, during the last day of the WEF in Davos, Switzerland May 26, 2022. "I think it's a role model for many countries," Schwab said, before qualifying that he thinks each country should make its own decisions about what system it wants to adapt.

Open-domain chatbots are supposed to converse freely with humans without being restricted to a topic, task or domain. However, the boundaries and/or contents of open-domain conversations are not clear. To clarify the boundaries of "openness", we conduct two studies: First, we classify the types of "speech events" encountered in a chatbot evaluation data set (i.e., Meena by Google) and find that these conversations mainly cover the "small talk" category and exclude the other speech event categories encountered in real life human-human communication. Second, we conduct a small-scale pilot study to generate online conversations covering a wider range of speech event categories between two humans vs. a human and a state-of-the-art chatbot (i.e., Blender by Facebook). A human evaluation of these generated conversations indicates a preference for human-human conversations, since the human-chatbot conversations lack coherence in most speech event categories. Based on these results, we suggest (a) using the term "small talk" instead of "open-domain" for the current chatbots which are not that "open" in terms of conversational abilities yet, and (b) revising the evaluation methods to test the chatbot conversations against other speech events.