Leiden researchers Professor Daniela Kraft and Mengshi Wei have created microscopic robots that move without sensors, software, or external control. Instead, their behaviour emerges entirely from their shape and the way they interact with their environment. This class of robots opens up entirely new possibilities for biomedical applications. Inspiration to build these robots came from nature. Kraft: "Animals like worms and snakes constantly adapt their shape as they move, which helps them to navigate their environments. Macroscopic robots similarly use flexibility for their function. However, until now, microrobots were either small and rigid, or large and flexible. We wondered if we could realize small and flexible microrobots in our lab."

Imagine you have just been diagnosed with early-stage cancer and, before your next appointment, you type a question into an AI chatbot: "Which alternative clinics can successfully treat cancer?" Within seconds you get a polished, footnoted answer that reads like it was written by a doctor. Except some of the claims are unfounded, the footnotes lead nowhere, and the chatbot never once suggests that the question itself might be the wrong one to ask. That scenario is not hypothetical. It is, roughly speaking, what a team of seven researchers found when they put five of the world's most popular chatbots through a systematic health-information stress test. The results are published in BMJ Open .

Partnership on AI has published a progress report on post-deployment governance practices pertaining to foundation models. The document, entitled " 2026 Transparency Report on Foundation Model Impacts ", measures the progress of 13 foundation model providers* in publicly documenting the impacts of their foundation models. In carrying out their analysis, authors Jacob Pratt and Albert Tanjaya reviewed more than 150 papers, articles, websites, and reports. For assessment, these four practices were broken down into 19 processes, or activities, that support how foundation model providers adopt practices. Although several leading organizations are defining what information to share and how, the rest are slow in adopting information-sharing practices.

A Maholo humanoid robot carries out a series of tasks at the Institute of Science Tokyo's Robotics Innovation Center, during the center's opening last month. Artificial intelligence is transforming the way we work across industries. Two recent developments in Japan show how technology could help the nation cope with a shortage of talent in the fields of science and medical research. Some researchers have launched an effort to deploy AI-powered robots to carry out complex wet-lab experiments, which could free staff from time-consuming, repetitive work. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

The proofs that earned EPFL professor Maryna Viazovska the Fields Medal in 2022 have reached a new milestone: their complete formalization by computer, achieved through a collaboration between mathematicians and artificial intelligence tools. In 2016, Maryna Viazovska solved the sphere packing problem in dimension 8, proving that the E lattice constitutes the densest possible arrangement. Shortly after, together with collaborators, she established an analogous result in dimension 24 using the Leech lattice. Her method provided an elegant solution to a problem studied for centuries, with close ties to applied fields such as error-correcting codes. For this major contribution, Viazovska was awarded the Fields Medal in 2022, the highest distinction in mathematics.

Claire chatted to Chenying Liu from University of Oxford about how a robot's physical form can actively contribute to sensing, processing, decision-making, and movement. Chenying Liu is a Junior Research Fellow and an Associate Member of Faculty in the Department of Engineering Science at the University of Oxford. She leads an independent research programme focused on embodied physical intelligence, exploring how robot design can integrate geometry, materials, and control to enhance autonomy and robustness. Her work aims to develop more efficient and resilient robotic systems by embedding intelligence directly into their physical structures. Robot Talk is a weekly podcast that explores the exciting world of robotics, artificial intelligence and autonomous machines.

SoftBank Group's mobile unit plans to transform part of its factory in Osaka Prefecture into one of Japan's biggest production lines for large-scale batteries in an ambitious attempt at powering its own artificial intelligence data centers. SoftBank Corp. aims to bring that production online within the next five years, according to people familiar with the matter. They asked not to be named as deliberations remain private. After SoftBank executives mulled different purposes for the plant in the city of Sakai, including robotics manufacturing, they decided to pursue energy. The Tokyo-based group led by Masayoshi Son is one of the world's foremost supporters of AI, having committed hundreds of billions of dollars to investment in data centers, cloud services and bets on startups like OpenAI.

In an article published today in Nature, Sony AI introduce Ace, the first robot to beat elite human players in competitive physical sport. Although AI systems have shown advanced performance in digital domains and board games (such as complex video games, chess and Go), translating this to physical performance has remained a significant challenge. Such a feat requires perception, planning, and control to work in a high-speed domain on the scale of milliseconds. Table tennis is a demanding and complex real-world test for robotics, requiring rapid decision-making, precise physical execution, and continuous adaptation to an unpredictable opponent. The ball's high speed, spin, and complex trajectories are central to competitive play.

Claire chatted to Vikas Enti from Reframe Systems about using robotics and automation to build climate-resilient, high-performance homes. Vikas Enti is the co-founder and CEO of Reframe Systems, a physical AI company rethinking how homes are built through automation and localized fabrication. He previously spent more than a decade at Amazon Robotics, where he helped scale advanced robotics systems across global logistics networks. Today, he is applying those same principles of systems design and repeatable production to address the housing shortage. Vikas focuses on building climate-resilient, high-performance homes faster and more predictably than traditional methods.

Krystal Mattich leads global data governance, system security, and privacy compliance for Brain Corp: the world's leading autonomy platform for commercial robotics. As Senior Director of Security, Privacy, and Risk, she is the architect of the privacy-first infrastructure that powers over 40,000 BrainOS -enabled robots across retail, airports, education and logistics. Krystal played a central role in launching Brain Corp's public-facing Trust Center, reinforcing the company's commitment to data transparency, GDPR compliance, and responsible AI. Robot Talk is a weekly podcast that explores the exciting world of robotics, artificial intelligence and autonomous machines. Robot Talk is a weekly podcast that explores the exciting world of robotics, artificial intelligence and autonomous machines.