DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST ...

We present three datasets (two experimental, one simulated) where each has several subcategories for the purpose of tackling different challenges present in the domain. Raw signal acquisition data ...

MiniMax M3 sparse attention is now verified by Artificial Analysis, which ranks M3 first among open-weight AI models with an ...

Because Krea relinquishes centralized control over the downstream deployment of its open weights, the contract legally binds ...

3D image display is essential for next-generation volumetric imaging; however, dense depth multiplexing for 3D image projection remains challenging because diffraction-induced cross-talk rapidly ...

Analog compute-in-memory combines compute and storage using crossbar arrays of non-volatile memory, thus promising to reduce the energy demand for artificial intelligence workloads. Yet, significant ...

The many benefits of thrift shopping — from snagging designer couture and high-end kitchenware for a couple of bucks to reducing waste — are so well known that it can be easy to forget that secondhand ...

This repository contains code released by Google Research. All datasets in this repository are released under the CC BY 4.0 International license, which can be found ...