LLC today announced the launch of rolvsparse©, a universal software compute primitive that restructures matrix arithmetic at the mathematical level, delivering dramatic AI inference speedups and ...

University of Miami Frost Institute independently confirms 50× speedups and 90--99.9% energy savings across CPUs, GPUs, TPUs, and AI accelerators -- identical SHA-256 verified results on all platforms ...

Data centers face a conundrum: how to power increasingly dense server racks using equipment that relies on century-old technology. Traditional transformers are bulky and hot, but a new generation of ...

Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...

During a recent appearance on the “So True with Caleb Hearon” podcast, co-director Lilly Wachowski was asked about certain right-wing groups attaching their ideologies to her 1999 sci-fi masterpiece ...

OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...

Liam Gaughan is a film and TV writer at Collider. He has been writing film reviews and news coverage for ten years. Between relentlessly adding new titles to his watchlist and attending as many ...

In math, Algebra 1 is a make-or-break course. The class is the gateway to high school math, and struggling to complete it can close off those higher-level pathways—and even jeopardize students’ ...

The original version of this story appeared in Quanta Magazine. David Bessis was drawn to mathematics for the same reason that many people are driven away: He didn’t understand how it worked. Unlike ...