The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory Sparse Attention mechanism, Document-wise RoPE for extreme context ...

FinVolution is rated Buy with Wall Street mispricing its international growth and over-discounting China risk. Learn more ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Diamonds are famous for their strength, but scientists have long suspected that another form of diamond might be even harder. Evidence of this was gathered over the past sixty years in meteorite ...

Ultrashort mid-infrared (mid-IR) laser pulses are essential for applications such as molecular spectroscopy, nonlinear microscopy, and biomedical imaging, but their generation often relies on complex ...

Every day humanity creates billions of terabytes of data, and storing or transmitting it efficiently depends on powerful compression algorithms. This video explains the core idea behind lossless ...

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

Formula 1 is entering a new era in 2026 because of its regulation overhaul, which is arguably the biggest in the championship ...

Abstract: We propose an end-to-end attribute compression method for dense point clouds. The proposed method combines a frequency sampling module, an adaptive scale feature extraction module with ...

Chinese artificial intelligence startup DeepSeek has introduced DeepSeek-OCR, an open-source model accompanied by a research paper that pioneers a novel "optical compression" method aimed at reducing ...

Dr. Ziya Arnavut of the State University of New York at Fredonia has received a patent for a software invention that provides a cost-effective method of encrypting data during transmission. The ...