A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time without ...

This article reviews the mutual empowerment between artificial intelligence and metasurfaces, characterizing that artificial intelligence enables intelligent nanophotonics, while metasurfaces ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

Arlequin AI has secured Series A funding to develop its topological neural network architecture and expand the deployment of ...

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few ...

Stephane is a tech enthusiast and AI advocate with a deep-seated passion for leveraging technology to solve real-world problems. With a background in Chemistry and hands-on experience in AI,... We ...

Qualcomm Adreno Neural Fusion debuts dedicated Matrix Cores inside every GPU slice, running AI super-resolution and frame generation on-chip without routing data to a separate processor. Unity and ...

A neural network is a machine learning (ML) model designed to process data in a way that mimics the function and structure of the human brain. Neural networks are intricate networks of interconnected ...

Deep learning neural networks are usually rife with challenges. For all their layered capabilities, the algorithms themselves are hard to create and even harder to manage. From the demand for millions ...