A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
Researchers at Massachusetts Institute of Technology have demonstrated a surprising new way to compute—by using heat instead ...
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Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
AllScale, the leading non-custodial stablecoin neobank built for microbusinesses, is partnering with Matrix to make stablecoin payments and payouts on BNB Chain more reliable and efficient. This ...
Abstract: Matrix multiplication is a fundamental computational operation widely used in various engineering applications. To accelerate large-scale matrix multiplication, computing tasks are commonly ...
Abstract: Sparse General Matrix-Matrix Multiplication (SpGEMM) is a core operation in high-performance computing applications such as algebraic multigrid solvers, machine learning, and graph ...
According to Sawyer Merritt on Twitter, Elon Musk acknowledged that the current X (formerly Twitter) algorithm has significant issues, particularly regarding its AI-powered recommendation system.
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