“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests.
The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design. We investigate the application of this tool across the entire design and manufacturing workflow.
New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.
MIT’s Computer Science and Artificial Intelligence Laboratory & MIT’s Center for Quantum Engineering
Few areas in computer science have generated the kind of attention Artificial Intelligence and quantum computing have enjoyed in recent years. The technologies are often discussed but often misunderstood. How can we determine what’s real and what’s overblown hype?
The Lincoln Laboratory Supercomputing Center has released a dataset containing more than a million jobs run on its TX-GAIA supercomputer. The data can help feed AI research into optimizing data center resources.
