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The study of matrix multiplication on the emerging SW26010 processor is highly significant for many scientific and engineering applications. The state-of-the-art work from the swBLAS library, called ...
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Researchers upend AI status quo by eliminating matrix multiplication in LLMs Running AI models without floating point matrix math could mean far less power consumption.
By eliminating a hidden inefficiency, computer scientists have come up with a new way to multiply large matrices that’s faster than ever.
Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.
The team behind the Matrix open standard and real-time communication protocol has announced the release of its second major version, bringing end-to-end encryption to group VoIP, faster loading ...
Today, DeepMind unveiled AlphaTensor, the “first artificial intelligence system" to shed light on a 50-year-old open question in mathematics.
The new version of AlphaZero discovered a faster way to do matrix multiplication, a core problem in computing that affects thousands of everyday computer tasks.
The Matrix open network for decentralized communication has announced a record growth of 79% in the past 12 months, now counting more than 60 million users.