Robots make work faster, cleaner, and more consistent. They also change how risk shows up on the floor. The danger is not only the moving arm, but also the in-between moments, when a cell is paused, a jam is cleared, or a quick adjustment turns into hands inside the fence. Operators sit closest to these […]
Festo has introduced the HPSX Universal Adaptive Gripper, a pneumatic soft gripper engineered to improve speed, hygiene and flexibility in demanding food, pharmaceutical and cosmetics applications. Combining robust design, food-safe materials and adaptive silicone fingers, the HPSX directly addresses long-standing automation challenges where rapid, precise and gentle product handling is essential. Peter Potters, product manager […]
Researchers tested whether generative AI could handle complex medical datasets as well as human experts. In some cases, the AI matched or outperformed teams that had spent months building prediction models. By generating usable analytical code from precise prompts, the systems dramatically reduced the time needed to process health data. The findings hint at a future where AI helps scientists move faster from data to discovery.
AI may learn better when it’s allowed to talk to itself. Researchers showed that internal “mumbling,” combined with short-term memory, helps AI adapt to new tasks, switch goals, and handle complex challenges more easily. This approach boosts learning efficiency while using far less training data. It could pave the way for more flexible, human-like AI systems.
Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 billion stars individually. Their AI learned how gas behaves after supernovae, removing one of the biggest computational bottlenecks in galactic modeling. The result is a simulation hundreds of times faster than current methods.
Aalto University researchers have developed a method to execute AI tensor operations using just one pass of light. By encoding data directly into light waves, they enable calculations to occur naturally and simultaneously. The approach works passively, without electronics, and could soon be integrated into photonic chips. If adopted, it promises dramatically faster and more energy-efficient AI systems.
Researchers at the University of Surrey developed an AI that predicts what a person’s knee X-ray will look like in a year, helping track osteoarthritis progression. The tool provides both a visual forecast and a risk score, offering doctors and patients a clearer understanding of the disease. Faster and more interpretable than earlier systems, it could soon expand to predict other conditions like lung or heart disease.