Last week, DeepSeek unveiled its latest research, DeepSeek-V3.2-Exp. On its corporate blog, the company claims the new model can cut the cost of making predictions, known as inference, by 75%, from $1 ...
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 ...
FuriosaAI founder and CEO June Paik said his startup’s architecture can reshape an industry dominated by Nvidia (NASDAQ:NVDA). He told Benzinga he is determined to make FuriosaAI the company that ...
Science Unbound on MSN
How Close We Are to Downloading Skills Like Kung Fu From The Matrix
This documentary explores whether humans will ever download skills instantly like Neo in The Matrix, and what science says about learning Kung Fu in seconds.
Abstract: Analog computing-in-memory accelerators promise ultra-low-power, on-device AI by reducing data transfer and energy usage. Yet inherent device variations and high energy consumption for ...
A new computing era arrives with the breakthrough in how computers can sort information. This vital function, at the heart of ...
OPEC+ is the club of major crude exporters that sets production targets and nudges global supply. When that group raises its ...
DESILO Inc. today announced the introduction of its THOR framework, a breakthrough in privacy-safe AI that enables large language model (LLM) inference to run fully under homomorphic encryption. The ...
Two former Google DeepMind researchers who worked on the company’s Nobel Prize-winning AlphaFold protein structure prediction AI as well as its AlphaEvolve code generation system have launched a new ...
In 1971, German mathematicians Schönhage and Strassen predicted a faster algorithm for multiplying large numbers, but it remained unproven for decades. Mathematicians from Australia and France have ...
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