High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...
This idea was once thought to lie beyond the reach of scientific inquiry,” said physicist Mir Faizal of the University of British Columbia.
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 ...
Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...
The Register on MSN
Berkeley boffins build better load balancing algo with AI
One way AI can improve on human work Computer scientists at UC Berkeley say that AI models show promise as a way to discover ...
Interesting Engineering on MSN
Matrix collapses: Mathematics proves the universe cannot be a computer simulation
According to Dr. Mir Faizal, Adjunct Professor at UBC Okanagan’s Irving K. Barber Faculty of Science, and his international ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback