Imagine driving down a busy highway. You need to check your speed and navigation, but glancing down at the dashboard takes ...
As artificial intelligence hardware advances toward higher efficiency and greater intelligence, enabling individual physical devices to perform more ...
A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...
Furiosa AI, the Korean AI chip startup, plans to start mass production of its first IC this month. Furiosa AI was founded in ...
Nvidia’s $20 billion strategic licensing deal with Groq represents one of the first clear moves in a four-front fight over ...
A new post on Apple’s Machine Learning Research blog shows how much the M5 Apple silicon improved over the M4 when it comes to running a local LLM. Here are the details. A couple of years ago, Apple ...
TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...
I can multiply faster now than I ever could with a calculator! Trump Signs Spending Bill, Ending Longest Shutdown in U.S. History Epstein emails suggest ex-Prince Andrew photo with Virginia Giuffre ...
Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...
Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...
Google DeepMind has announced a new AI agent that can solve complex coding and math problems, called AlphaEvolve. In a blog posted about the release, the company said that AlphaEvolve can improve the ...
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