IEEE

Sparse Ternary Matrix Multiplication with Tensor Core for Transformer

Abstract: The Transformer architecture, despite its scaling law, faces expensive computational cost challenges as the number of parameters increases. Quantization methods like Ternary-BERT and BitNet ...
Supply Chain Management Review

Driving procurement forward: A digital spin on the Kraljic Matrix

When semiconductor shortages forced automakers to idle assembly lines, procurement leaders were reminded of a fundamental reality: not all suppliers carry equal strategic weight. In volatile global ...
SiliconANGLE

Recursive Superintelligence raises $650M to build self-improving AI models

Recursive Superintelligence Inc., a startup that hopes to develop self-improving artificial intelligence models, launched today with $650 million in funding. Alphabet Inc.’s GV fund and Greycroft led ...
The New York Times

Notable Researchers Join $4 Billion Effort to Build Self-Improving A.I.

Recursive Superintelligence, founded by former Google, Meta and OpenAI researchers, is part of a growing effort to automate the creation of artificial intelligence. By Cade Metz Reporting from San ...
IEEE

RuleExplorer: A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers

Abstract: The high performance of tree ensemble classifiers benefits from a large set of rules, which, in turn, makes the models hard to understand. To improve interpretability, existing methods ...
DualShockers

Which Armor Matrix Upgrades To Get First in Saros

Usama Mehmood is a Senior Writer at DualShockers with more than five years of experience in the video game industry. He has been writing professionally since 2021 and covering games since 2022, with ...