I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen AI failed to properly patch software flaws 74% of the time, 1Password's study warns We might be eager to thread AI into every area of our cybersecurity defenses, but new research reveals why we should pull back. A new study shows the effectiveness of AI-generated patches. Only 26% of the patches generated were actually usable. AI isn't ready to patch the planet, but it can be used in cyberdefense. New research has revealed that artificial intelligence and large language models (LLMs) are not ready to take on the task of creating fixes and patching security vulnerabilities.

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Taught by AI pioneers, Stanford's free online course takes you far beyond ChatGPT Most AI courses teach today's tools, but this free Stanford classic by Peter Norvig and Sebastian Thrun dives into the deeper foundational ideas you need to truly understand artificial intelligence. Two Stanford AI pioneers teach this landmark course for free. The curriculum reaches far beyond LLMs and prompting. Expect 75 to 100 hours of challenging, durable lessons. Imagine for a minute that the technology that enables Star Trek transporters is suddenly real -- it's being adopted nearly universally.

Researchers at the University of Leeds and collaborators from the University of California San Diego won the Best Paper Award at RoboSoft, the leading international conference focused on soft robotics research. Soft robotics is gaining attention in medical applications because compliant machines can interact more safely with delicate objects and complex anatomy. The award-winning paper describes a 1.8 mm soft growing robot that can be steered magnetically, sense its own shape in real time, and operate without internal pressure. These advances could help improve patient outcomes following minimally invasive procedures. We spoke with lead author Benjamin Calmé about the team's work.

Dr François Pachet is an AI researcher and musician, and one of the most influential figures in AI and music. His innovative contributions have defined the field over the past decades through creative systems such as the Continuator, and Flow Machines, among others. After leading the Spotify Creator Technology Research Lab and the Sony Computer Science Lab, he went on to create his own companies: Imagine All The People and Ynosound. In the context of IJCAI2025, he spoke about what deep learning changed, and what still remains wide open. He explains why tools like Suno and Udio--ChatGPT-like platforms for music generation--can produce astonishing results that still feel unsatisfying; why the next step for music generation requires combining sampling with search; and why the most important problems in artistic domains are, by nature, ill-defined--because there is no loss function to determine what is "good". Above all, he defends the importance of researcher autonomy: work on the questions that genuinely fascinate you, even when they fall outside prevailing trends--perhaps especially then. Thank you for joining me for this interview. Could you begin by telling us when was your first IJCAI and a memory related to it? I think the first IJCAI I attended was in Montreal in '95. I was there for a couple of workshops, one of them was about music and AI, and the other one I think was on advisor systems, something like that. And I remember there was a French colleague who was there also, at the time he was doing his PhD. And there was this researcher called Herbert Simon, who is a Nobel Prize pioneer of AI. I remember having chatted a little bit with this French guy who was very bold, and he just went up to Simon, said "Hey," and he started a conversation with him. And I was very impressed by the fact that you could meet those kinds of guys informally in a corridor or something at this conference.

The Future of AI Research report, published in March 2025, aims to clearly identify the trajectory of AI research in a structured way. The report was led by outgoing AAAI President Francesca Rossi and covers 17 different AI topics . Members of the report team, and other selected AI practitioners, are taking part in a series of video panel discussions covering selected chapters from the report. In the next discussion in the collection, the four panellists tackle AI and scientific integrity. Lucy Smith is Senior Managing Editor for AIhub.

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we find out about time-series anomaly detection, delve into music generation, honour award winners, and catch up on the action from the RoboCup humanoid soccer league. We caught up with Thi Kieu Khanh Ho to find out more about her work on time-series anomaly detection, what inspired her to study AI, and what she plans to work on next. This interview is part of our series featuring the AAAI Doctoral Consortium participants. In the latest in our series of IJCAI interviews, AIhub ambassador Liliane-Caroline Demers spoke to François Pachet to find out more about his work on music generation with AI.

Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National University (ANU) Emotions and Faces Lab. AI-generated deepfake faces have become so realistic that it is difficult for people to tell them apart from photos of real humans, contributing to increases in AI-related fraud. "Training on visual artifacts, like looking for a sixth finger or odd earrings, has had limited success, partly because the AI is getting too good, and fraudsters may avoid using pictures with obvious flaws anyway," lead researcher Associate Professor Amy Dawel said. "Our training directs people's attention to global qualities that differ between AI and human faces. AI faces tend to be more symmetrical, proportional and attractive, but without training we often think these are markers of being human."

The talk presented in this podcast, "Where do Ethics Belong in Artificial Intelligence?", It was presented at Oregon State University by Houssam Abbas (assistant professor of electrical engineering) and Alicia Patterson (assistant professor of philosophy) as part of an AI seminar series. "Engineering Out Loud" is a podcast from the College of Engineering at Oregon State University. It is for anyone who wants to know more about how engineering is changing the world. Hear from researchers about how they are tackling humanity's biggest challenges, including enabling access to clean water, preparing and recovering from natural hazards, and improving human the health and safety.

Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology's impact on society. In this episode we chat with Rebecca for the second time about: why intelligence isn't everything, whether LLM's are even safe, AI governance and guardrails, moral assurance, under-specification problems, lack of interdisciplinary work in robotics, that AI shouldn't be sold as a solution to everything, sidelining of AI ethics, what are the actual benefits of AI, whether AI progress will widen inequality, and more Rebecca Raper is a robotics lecturer and researcher at Cranfield University. She authored the book Raising Robots to be Good: a practical foray into the art and science of Machine Ethics . She designed and leads the UK's first Robotics apprenticeship. This podcast was created and is run by Ben Byford and collaborators.

UNSW researchers have developed a soft robotic model of the human heart that can mimic disease and provide a realistic environment for testing the next generation of cardiac devices. Researchers at UNSW Sydney have developed a fully synthetic soft robotic heart that reproduces the complex movements and internal structures of the human heart, opening the door to better treatments, safer medical devices and more personalised care. Published in Nature Communications and Advanced Science, the research introduces a beating model of the left side of the heart that includes artificial valves, papillary muscles and chordae tendineae - structures that are critical to healthy heart function and are frequently affected by disease. The device is able to accurately reproduce the process in a real heart where cardiac valves leak and blood flows backwards, which increases the risk of heart failure and other life-threatening complications. In that way, the research team say the new soft robot can eventually help provide a better understanding of heart conditions, reduce reliance on animal testing and provide doctors with patient-specific models to plan treatments before procedures are performed.