Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

Over the past decades, roboticists have introduced a wide range of advanced systems that can move around in their ...

US robotics startup Kinisi has previewed its next-generation mobile manipulation platform designed to work safely alongside people in real-world environments. Unveiled in July 2025, KR1 is a low-cost, ...

Engineers are preparing to send a new kind of supercomputer-grade chip into orbit, not as a science-fiction prop but as a practical tool that could reshape how satellites, networks, and even everyday ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

Serious segmentation is not a mere snapshot of the market. It plots and overlays multiple layers: data on strategic human ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

The global medical terminology software market size was valued at USD 1.17 billion in 2024 and is predicted to hit around USD ...

A French court has blocked the export and foreign purchase of a 17th century arithmetic machine invented by Blaise Pascal to help ease the laborious task of calculating taxes. The sale of an ancient ...