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 ...

This article outlines the design strategies currently used to address these bottlenecks, ranging from data center systolic ...

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.

Samsung Electronics Co., Ltd., a global leader in advanced semiconductor technology, today announced the comprehensive AI computing technologies it will showcase at NVIDIA GTC 2026 in San Jose, ...

Samsung Electronics debuted its seventh-generation high bandwidth memory, HBM4E, at the Nvidia GTC 2026 developer conference ...

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

Keysight Technologies, Inc. (NYSE: KEYS) has collaborated with Qualcomm Technologies, Inc. to demonstrate machine learning (ML)-based Channel State Information (CSI) compression to enhance link ...

Joint lab validation shows more than 40 percent downlink throughput gain versus standardized channel feedback in four-layer (rank-4) operation SANTA ROSA, Calif.--(BUSINESS WIRE)--Keysight ...

ASML (ASML) plans to expand its chipmaking equipment portfolio with new products to capture more of the growing market for AI chips, Reuters reported, citing the company's Chief Technology Officer ...

ASML plans to expand into advanced packaging for AI chips Company to use AI to enhance tool performance and production speed ASML explores larger chip sizes and new scanner systems SAN JOSE, ...

Abstract: Multi-scale feature compression is essential in machine vision tasks for reducing storage and transmission costs while maintaining task performance. However, existing multi-scale feature ...