Using AI to optimize for rapid neural imaging
Connectomics, the ambitious field of study that seeks to map the intricate network of animal brains, is undergoing a growth spurt. Within the span of a decade, it has journeyed...
2023-24 Takeda Fellows: Advancing research at the intersection of AI and health
The School of Engineering has selected 13 new Takeda Fellows for the 2023-24 academic year. With support from Takeda, the graduate students will conduct pathbreaking research ranging from remote health...
Generating opportunities with generative AI
Talking with retail executives back in 2010, Rama Ramakrishnan came to two realizations. First, although retail systems that offered customers personalized recommendations were getting a great deal of attention, these...
New techniques efficiently accelerate sparse tensors for massive AI models
Researchers from MIT and NVIDIA have developed two techniques that accelerate the processing of sparse tensors, a type of data structure that’s used for high-performance computing tasks. The complementary techniques...
Accelerating AI tasks while preserving data security
With the proliferation of computationally intensive machine-learning applications, such as chatbots that perform real-time language translation, device manufacturers often incorporate specialized hardware components to rapidly move and process the massive...
The brain may learn about the world the same way some computational models do
To make our way through the world, our brain must develop an intuitive understanding of the physical world around us, which we then use to interpret sensory information coming into...
Celebrating Kendall Square’s past and shaping its future
Kendall Square’s community took a deep dive into the history and future of the region at the Kendall Square Association’s 15th annual meeting on Oct. 19. It’s no secret that...
To excel at engineering design, generative AI must learn to innovate, study finds
ChatGPT and other deep generative models are proving to be uncanny mimics. These AI supermodels can churn out poems, finish symphonies, and create new videos and images by automatically learning...
Institute Professor Daron Acemoglu Wins A.SK Social Science Award
Daron Acemoglu, Institute Professor and the Elizabeth and James Killian Professor of Economics in MIT’s School of Arts, Humanities, and Social Sciences, is the 2023 recipient of the WZB Berlin Social...
