IEEE

Effective Memory Management and Sparse Aware Cache for Row-Wise Sparse CNNs

Abstract: Convolutional Neural Networks (CNNs) are used in several image processing tasks like image recognition and object localization. For edge applications such as drones and autonomous vehicles, ...

New KV cache compaction technique cuts LLM memory 50x without accuracy loss

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

Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...
Sports Illustrated

Ukraine’s Vladyslav Heraskevych Writes New Chapter in the Olympic Protest Tradition

The Ukrainian flag bearer’s disqualification from skeleton over a helmet featuring athletes killed in the war with Russia is yet another example of how politics and the Olympics cannot be separated.