Scientists in Japan say they have developed a new approach – dubbed ‘HEAPGrasp’ – that improves robots’ grasping success rate for transparent and shiny objects, beyond reducing handling time, using only RGB camera The fields of manufacturing, logistics, and even restaurants are increasingly moving toward automation, with robots being employed for a wide range of […]
Nature Robots, a technology company founded in Osnabrück in 2022 and a spin-off of the German Research Center for Artificial Intelligence (DFKI), has closed a seed financing round totaling €4 million. Participants in the round include Climentum Capital, Bayern Kapital, and Planetary Impact Ventures. With the fresh capital, the company is scaling its modular autonomy […]
Money usually goes away sooner than one anticipates. Some minor things, a lost subscription, and all of a sudden, the bank account shows that the balance is lower than intended. Several families go through this situation despite a stable income. Here, a personal budget application will come in handy. It may seem that it is […]
A philosopher at the University of Cambridge says there’s no reliable way to know whether AI is conscious—and that may remain true for the foreseeable future. According to Dr. Tom McClelland, consciousness alone isn’t the ethical tipping point anyway; sentience, the capacity to feel good or bad, is what truly matters. He argues that claims of conscious AI are often more marketing than science, and that believing in machine minds too easily could cause real harm. The safest stance for now, he says, is honest uncertainty.
A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how systems evolve over time and reduces thousands of variables into compact equations that still capture real behavior. The method works across physics, engineering, climate science, and biology. Researchers say it could help scientists understand systems where traditional equations are missing or too complicated to write down.
AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research shows these systems can infer patient demographics from pathology slides, leading to biased results for certain groups. The bias stems from how the models are trained and the data they see, not just from missing samples. Researchers also demonstrated a way to significantly reduce these disparities.
A wireless eye implant developed at Stanford Medicine has restored reading ability to people with advanced macular degeneration. The PRIMA chip works with smart glasses to replace lost photoreceptors using infrared light. Most trial participants regained functional vision, reading books and recognizing signs. Researchers are now developing higher-resolution versions that could eventually provide near-normal sight.
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.