Imagine you’re a chef with a highly sought-after recipe. You write your top-secret instructions in a journal to ensure you remember them, but its location within the book is evident from the folds and tears on the edges of that often-referenced page.

The neural network artificial intelligence models used in applications like medical image processing and speech recognition perform operations on hugely complex data structures that require an enormous amount of computation to process. This is one reason deep-learning models consume so much energy.

More stable clocks could measure quantum phenomena, including the presence of dark matter.

For more than 60 years, MIT has been an undisputed pioneer in developing computing technologies that have transformed the world. The Institute’s largest research lab, the Computer Science and Artificial Intelligence Laboratory (CSAIL), has had a hand in everything from time-sharing and computer graphics to data encryption and early versions of the Internet. 

“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.