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Brilliantly Boosted: Light-Powered Machine-Learning Revolutionizes Language Models!

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Brilliantly Boosted: Light-Powered Machine-Learning Revolutionizes Language Models!
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A team of researchers from MIT has developed a machine-learning system that could revolutionize the field. The system, which performs computations based on the movement of light rather than electrons, has shown a greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared to current state-of-the-art digital computers for machine learning. The researchers believe that the system could pave the way for large-scale optoelectronic processors that can accelerate machine-learning tasks and potentially allow small devices, such as cellphones, to run programs that currently require large data centers. The components of the system can be created using fabrication processes already in use today, making it scalable for commercial use in the near future. This new technology has the potential to power machine-learning models that were previously unreachable due to the limitations of current supercomputers. The researchers believe that with a system that is 100 times more powerful, the next-generation of machine-learning models could have capabilities that are currently unimaginable. This breakthrough is part of a series of achievements by the researchers at MIT, who have been working on developing a compact architecture that solves the challenges faced by current optical neural networks. The system is based on vertical surface-emitting lasers (VCSELs), and while more work needs to be done to make the technology practical and cost-effective, experts in the field are optimistic about its potential. This research was sponsored by various organizations, including the U.S. Army Research Office and the U.S. National Science Foundation. The researchers have also filed a patent for their work.

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