Toyota Material Handling Europe has introduced a new automated guided vehicle (AGV) system designed to handle a range of warehouse transport tasks and pallet types. Called Swarm Automation Transport, the system combines the company’s SAI125CB automated counterbalance stacker with its T-ONE control software platform, enabling coordination across automated and mixed fleets. The company says the […]
Positronic Robotics launches ‘PhAIL’ benchmark to test real-world performance of physical AI systems
Positronic Robotics has introduced a new benchmarking initiative aimed at evaluating how well AI-driven robots perform in real-world industrial tasks, as interest grows in so-called “physical AI” systems. The benchmark, called PhAIL (Physical AI Leaderboard), measures robotic performance using operational metrics such as units per hour and mean time between failures, rather than traditional academic […]
Exotec, a designer and integrator of robotic solutions for warehouse logistics, has announced the deployment of a multi-site programme called Skyfleet for Decathlon. The program spans seven logistics platforms across five European countries: France, the United Kingdom, Portugal, Italy, and Germany. Beyond enabling Decathlon to standardise and manage logistics flows at a European scale, the […]
Spanish researchers have created a powerful new open-source tool that helps uncover the hidden genetic networks driving cancer. Called RNACOREX, the software can analyze thousands of molecular interactions at once, revealing how genes communicate inside tumors and how those signals relate to patient survival. Tested across 13 different cancer types using international data, the tool matches the predictive power of advanced AI systems—while offering something rare in modern analytics: clear, interpretable explanations that help scientists understand why tumors behave the way they do.
A new AI tool called DOLPHIN exposes hidden genetic markers inside single cells, enabling earlier detection and more precise treatment choices. It also sets the stage for building virtual models of cells to simulate disease and drug responses.
A powerful new AI tool called Diag2Diag is revolutionizing fusion research by filling in missing plasma data with synthetic yet highly detailed information. Developed by Princeton scientists and international collaborators, this system uses sensor input to predict readings other diagnostics can’t capture, especially in the crucial plasma edge region where stability determines performance. By reducing reliance on bulky hardware, it promises to make future fusion reactors more compact, affordable, and reliable.