Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...

Shape memory alloys are exotic materials that can be deformed at room temperature and return to their "remembered," ...

MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...

Abstract: Short-term time series forecasting is pivotal in various scientific and industrial fields. Recent advancements in deep learning-based technologies have significantly improved the efficiency ...

The CEO of Helius Labs, Mert Mumtaz, whose company provides infrastructure and tooling for Solana developers, stated in a ...

Georgetown University's Lombardi Comprehensive Cancer Center researchers have identified a new way to reprogram T cells, ...

Kanazawa University, have captured real-time images showing how a key brain enzyme organizes itself to help memory formation.

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

The Kulwicki Driver Development Program has officially announced that it is now accepting applications for the 2026 season.

Abstract: Resistive random access memory (RRAM) devices offer a broad range of attractive properties for in-memory computing (IMC) applications, such as nonvolatile storage, low read current, and high ...

The world’s leading chip companies came to CES 2026 this week with some major announcements that will give channel partners a ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...