Researchers have developed a compact, low-cost convolutional spectrometer that delivers lab-grade precision for applications ...

Abstract: The development of remote sensing images in recent years has made it possible to identify materials in inaccessible environments and study natural materials on a large scale. But ...

DBB is a powerful ConvNet building block to replace regular conv. It improves the performance without any extra inference-time costs. This repo contains the code for building DBB and converting it ...

Apple is introducing a new version of its system-level RAW image processing engine that uses machine learning to greatly ...

Soft robotics continues to push beyond the constraints of rigid mechanisms, offering adaptable solutions for grasping, ...

The key to more powerful plugins may be the graphics processor that you already have in your computer. We discover how three developers are making this happen right now When you purchase through links ...

Abstract: Hybrid neural networks (hybrid-NNs) have been widely used and brought new challenges to NN processors. Thinker is an energy efficient reconfigurable hybrid-NN processor fabricated in 65-nm ...

ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...

For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving cars. U.S. National Academies report on AI and the Future of Work, study ...

This suggests that future work could continue to improve both the data and model levels—for example, by incorporating more real-world plant inspection samples to enhance cross-scene generalization, ...