MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...

NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...

Threat actors have been exploiting a command injection vulnerability in Array AG Series VPN devices to plant webshells and create rogue users. Array Networks fixed the vulnerability in a May security ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...

The increasing computational demands of deep learning have brought power consumption to the forefront as a critical challenge, with matrix multiplications identified as a major performance bottleneck.

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

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Abstract: Distributed matrix-vector multiplication plays a key role in numerous computing-intensive applications, including machine learning, by leveraging distributed computing resources known as ...

Nextracker and Array Technologies dominate the solar tracking market, with Nextracker showing superior financial performance and innovation, despite Array's broader technology offerings including dual ...