Abstract: Existing CNN inference frameworks based on FHE often suffer from reduced efficiency and accuracy due to the polynomial approximation of activation functions, and they lack effective ...
A new technical paper titled “MultiVic: A Time-Predictable RISC-V Multi-Core Processor Optimized for Neural Network Inference” was published by researchers at FZI Research Center for Information ...
Artificial intelligence inference startup Fireworks AI Inc. said today it has raised $250 million in a Series C funding round that brings its valuation to $4 billion. Lightspeed Venture Partners, ...
This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
A decade ago, when traditional machine learning techniques were first being commercialized, training was incredibly hard and expensive, but because models were relatively small, inference – running ...
July 31 (Reuters) - World number nine Holger Rune said his brief collaboration with Andre Agassi had given him a unique insight into how the eight-times Grand Slam champion viewed the game and hopes ...
Jonathan Smith was one of the final coaches to take the stage for his televised press conference at Big Ten Media Days in Las Vegas last week. His Michigan State program will be one of the last ...
From last year’s Super Bowl team, the Eagles lost five defensive starters, two defensive backups and one offensive starter, but the defending champions still have the deepest collection of talent in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback