Cerebras says its wafer-scale chips run Moonshot AI’s trillion-parameter Kimi K2.6 model at record AI inference speeds, ...

Like so much else in nature, the human visual system has both a complex structure and functional efficiency that is difficult ...

Artificial intelligence (AI) has already changed many aspects of medical imaging, but traditional ophthalmic AI systems are ...

A new framework allows AI models that have already been trained to learn new tasks without sacrificing performance when ...

Synaptics ® Incorporated (Nasdaq: SYNA) and Google Research will spotlight Edge AI use cases on the recently announced Synaptics Coralboard™ at Google I/O 2026. The Coralboard is designed to help ...

Micro-gestures – those almost invisible, fleeting body movements lasting less than a second – can reveal genuine emotions and intentions that words ...

Spread the loveIn a remarkable advancement that might reshape the future of artificial intelligence, researchers have unveiled a new optical training approach designed for large-scale deep learning ...

The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...

Humanoid robot sorts objects using vision and memory, powered by Koream firm RLWRLD’s RLDX-1 dexterity AI model.

A vision-language-action model is an end-to-end neural network that takes sensor inputs—camera images, joint positions, ...

As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained ...

In 2026, AI assistants have advanced into proactive, multi-agent systems capable of autonomous, multi-step execution across ...