High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...
The inverse eigenvalue problem appears in many applications such as control design, seismic tomography, exploration and remote sensing, molecular spectroscopy, particle physics, structural analysis, ...
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Exclusive: Former Google DeepMind researchers secure $5 million seed round for new company ...
The company, which is called Hiverge, emerged from stealth today with $5 million in seed funding, led by Flying Fish Ventures ...
Matrix Executions, a leader in options trading technology, announced its latest launch of its white-label equity options algorithmic trading solutions. This product empowers broker dealers with true ...
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Scientists develop matrix that works like fingerprint scanner to detect hidden objects
Their approach uses what they call a “fingerprint matrix,” a mathematical description of the unique way each object scatters ...
In the context of increasingly severe homogenization competition in the intelligent robotics industry, the Chinese robotics butler has rapidly emerged as a market newcomer, showcasing strong ...
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