A Korean research team has unveiled a core technology which reduces the time and cost invested in developing artificial intelligence (AI) chips in small and medium-sized enterprises and startups.
Machine learning has emerged as a transformative approach to compiler optimisation by automating decisions that were traditionally based on heuristics or exhaustive search. At its core, this research ...
Co-design, that is, designing software and hardware simultaneously, is one way of attempting to meet the computing-power needs of today’s artificial intelligence applications. Compilers, which ...
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Demonstrating the wide-ranging benefits of Glow NN compiler for vision- and voice-based machine learning applications - NXP is the first semiconductor vendor to deliver a 2-3x performance jump for ...
Compilers are among the least sexy tools in any developer’s kitbag. You call on your compiler only when you’re ready to see how well your splendid new app will perform in the field. Data scientists ...
SANTA CLARA, Calif.--(BUSINESS WIRE)--Today, d-Matrix, a leader in high-efficiency AI-compute and inference, announced a collaboration with Microsoft using its low-code reinforcement learning (RL) ...
A new technical paper titled “Elk: Exploring the Efficiency of Inter-Core Connected AI Chips with Deep Learning Compiler Techniques” was published by researchers at the University of Illinois ...
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