A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...
A Hong Kong-based Matrix AI Network is developing a prototype of a new hybrid PoS/PoW consensus algorithm. This update was shared with Cointelegraph by Owen Tao, the company’s CEO. Tao described ...
The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...
Could the deepest laws of nature ever be reduced to lines of code? A team of physicists from Canada, the United States, the ...
A new technique that efficiently retrieves scattered light from fluorescent sources can be used to record neuronal signals coming from deep within the brain. The technique, developed by physicists at ...
AS a finite dimensional linear space over the rational number field ℚ, an algebraic number field is of particular importance and interest in mathematics and engineering. Algorithms using algebraic ...
The belief that we are living in a Matrix-like simulation has has grown traction in recent years, but boffins believe they ...
CHICAGO--(BUSINESS WIRE)--Matrix Executions, an agency-only broker dealer and trading technology provider, has enhanced its US listed options algorithm technology suite with new price discovery and ...