In a series of interviews, we're meeting some of the PhD students that were selected to take part in the Doctoral Consortium at the International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJACI-ECAI 2026) . This time, we hear from Mayra Elwes about her work developing machine learning methods for clinical time-series data. Tell us a bit about your PhD - where are you studying, and what is the topic of your research? I am a second-year computer science PhD student at the Institute for Biomedical Informatics at the University Hospital Cologne. My research focuses on the generalisation and domain adaptation of machine learning for clinical time-series forecasting, especially for clinic-to-clinic generalization scenarios.

The author of says his book "was written by a very tired, overworked, under-slept human being." For most people, the AI Era we're now living in started sometime around the end of 2022, when OpenAI released the first consumer version of ChatGPT to much fanfare--and, ultimately, over 100 million downloads within a few short months. In reality, as WIRED readers know, the story of artificial intelligence stretches back decades. And the work informing today's generative AI products, from chatbots to agents and beyond, has been more than a decade--of blood, sweat, tears, and furious rivalries--in the making. It's that recent history, told through the interweaving stories of three generative AI leaders-- OpenAI, Anthropic, and Google --that's chronicled in Kevin Roose's compelling new book, . Roose, a longtime tech journalist who most recently served as a columnist and podcast host for The New York Times, conducted more than 150 interviews with AI insiders to compile what he hopes becomes something of a historical document, an accurate, in-depth retelling of the people and the institutions, the bloodbath and the drama, that brought Silicon Valley to where it is to today. I spoke to Roose in late September, a few days after he and Casey Newton--with whom Roose previously cohosted the New York Times' podcast--announced the creation of their new media company Machine Gods Media, alongside a podcast distribution deal with NPR. We talked about what Roose and Newton hope to accomplish with the new show, why traditional media companies have a talent problem, and, of course, all things artificial intelligence. KATIE DRUMMOND: You and Casey Newton recently announced that you were launching a new media company, called Machine Gods Media. And your podcast is also called, correct? Yeah, a name so nice we used it twice. When you first announced that you'd be leaving The New York Times, you described your vision for what you wanted to do as one that, quote, "takes AI progress seriously, is clear-eyed about the capabilities and risks of powerful AI systems, and tries to empower and entertain people in the face of radical uncertainty." As you look at the landscape of tech coverage and AI coverage, what's missing from the reporting and commentary that you and Casey want to address with the new show?

At the International Conference on Machine Learning (ICML 2026),, and presented their work Vision Language Models Cannot Reason About Physical Transformation . In this interview, William Yijiang Li tells us more about the research, the method the team used, and the controlled experiments they carried out. What is the topic of the research in your paper and why is it an interesting area for study? Our research asks a fairly fundamental question: do vision-language models actually understand how the physical world changes over time? Modern vision-language models are increasingly being used in areas such as robotics, embodied agents, and video understanding.

This week on, we discuss the voluntary AI safety agreement tech executives signed, AI agents for normies, and extremist candidates running for office in the US midterms. This week on, Brian Barrett, Zoë Schiffer, and Leah Feiger discuss the "morally binding" AI accord tech executives signed following a meeting with Donald Trump. They've agreed that AI labs will regulate themselves--should work out great. Plus, the team digs into OpenAI's Developer Day, where CEO Sam Altman introduced AI agents for normies, otherwise known as Dots; how AI agents are coming to workplaces near you; and a quick rundown of the most extremist candidates running for office. Trump's AI Safety'Accord' Is a Fancy Pinky Swear A Pentagon Influencer Called Liberal Women a'Pestilence' Who Will End Western Civilization I Built AI Clones of My Coworkers. Write to us at [email protected] . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . Two quick things before we dive in. If you've been listening for a while and you haven't rated or reviewed the podcast yet, this is your sign. Give us a rating, tell us what you think. Five stars is nice, but we'll take the feedback too. It really helps more people find the show. Also, if you're in the Bay Area, we will be doing a live audience recording of the podcast on Thursday, October 8, at 7 pm at The Commons, headquarters of our KQED friends in San Francisco. You can buy tickets on kqed.org or check out the show notes for the link. You won't want to miss it.

What can we learn from the brain about building better computers? Oliver Rhodes discusses how neuromorphic computing draws on the brain's architecture to develop new approaches to more efficient information processing. Can you give me an overview of your background and the research that you're involved with? Neuromorphic computing is quite a broad subject, which essentially looks to biology as inspiration to develop next-generation computing systems. We work off this principle: we know the brain is this really amazing computer, and it's able to do things that a lot of modern computing systems aren't able to do, and it also does them in an incredibly energy efficient way. We'd like to try to replicate that with some of the systems we build. In the context of the current climate around AI, while we've seen that it's made really big steps forward and is able to do really impressive things, there are certain things that it still can't do that the brain is able to do. So we look to the brain for inspiration to try and solve some of those next generation challenges. Neuromorphic computing covers all aspects of this: from looking at algorithms that might be solving a particular problem, to the systems and subsystems that would be running those algorithms, right down to a chip or devices level. We often use neural networks, which are also employed in artificial intelligence models, such as in deep learning and transformer models.

Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. President Donald Trump photographed at the White House in Washington, D.C. on Sept. 28, 2026. President Donald Trump photographed at the White House in Washington, D.C. on Sept. 28, 2026. Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. President Donald Trump sat down for an interview with TIME at the White House on Sept. 28.

In an exclusive interview with WIRED, Paragon Solutions CEO Andrew Boyd reveals the limits of the company's promise to keep bad actors from abusing its powerful espionage tool. Spyware maker Paragon Solutions has long positioned itself as the good guy in an industry seemingly filled with bad ones, vowing to never sell its mobile spyware to authoritarian regimes or ones with poor human rights records. It also promises to cut off any customer caught misusing its products against journalists, dissidents, or other non-legitimate targets. Yet weeks after Paragon, then Israeli-owned, was acquired by the US equity firm AE Industrial Partners in December 2024 and merged with REDLattice--an American offensive cyber firm owned by AE that this week announced plans to go public --WhatsApp alleged that Paragon's Graphite spyware was used to infect the phones of more than 60 individuals in more than 20 countries, including journalists and activists. Most of the targets were not identified, but the University of Toronto's Citizen Lab named two journalists and two activists in Italy. Italian authorities denied misuse . Paragon and its new US owners, despite their zero-tolerance policy for customer abuse of their software, initially declined to comment on the allegations, and reportedly was exploring potential legal action against WhatsApp after the company sent a cease-and-desist letter to Paragon.

In her new book on biological warfare, Annie Jacobsen didn't even discuss AI because scientists can already warp Mother Nature to create extinction-level events. We've been hearing a great deal recently about the specter of AI-driven human extinction . Maybe our misplaced trust in AI intelligence will set off World War III . Or AI agents will unleash widespread cyberattacks and take over the internet. Given too much autonomy, the machines will run amok. They may seek to deceive their creators--wait, that's already happened . Suppose they conclude, like Agent Smith in, that "human beings are a plague, and we are the cure." Or perhaps the chatbots help bad humans unleash a literal plague--a biological weapon .

Disaster response an'urgent issue,' says new land minister Land, Infrastructure, Transport and Tourism Minister Tatsunori Ibayashi answers questions during an interview in Tokyo's Chiyoda Ward on Wednesday. New Land, Infrastructure, Transport and Tourism Minister Tatsunori Ibayashi on Wednesday pledged to respond to heavy rain and other natural disasters with a sense of urgency. Disaster response is an "urgent issue," Ibayashi said in an interview with media organizations, adding that Prime Minister Sanae Takaichi has strongly instructed Cabinet ministers to prioritize countermeasures. Large-scale natural disasters, including Typhoon Dujuan, have caused significant damage recently in Japan, he said. "The types of disasters have diversified considerably."

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects In My Bag Look Up Creator Playbook Say More AI at School Safety Net Versus Trending Now Back to School Good Connection: Uplifting stories for a digital age All Series'The Swan: Behind the Mirror': Let's talk about the most WTF reveals The 2004 reality competition series was shocking then. But wait until you hear the truth from the Swans. Kristy Puchko is the Entertainment Editor at Mashable. Based in New York City, she's an established film critic and entertainment reporter who has traveled the world on assignment, covered a variety of film festivals, co-hosted movie-focused podcasts, and interviewed a wide array of performers and filmmakers. The Swan: Behind The Mirror dives into the dark side of this demented reality TV show.