A method for designing neural networks optimally suited for certain tasks
With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.
With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.
With further development, the programmable system could be used in a range of applications including gene and cancer therapies.
Study reveals key cell structures and gene expression changes near amyloid plaques and tau tangles in mouse brain tissue.
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
MLK Visiting Professor tries to “maximize connection time” while studying protein evolution.
A new optogenetics-based tool allows researchers to control how neurons respond to electrical input.
The MIT senior will pursue postgraduate studies in computer science in Ireland.
Researchers harness new pooled, image-based screening method to probe the functions of over 5,000 essential genes in human cells.
Seven professors join the departments of Biology; Chemistry; Earth, Atmospheric and Planetary Sciences; Mathematics; and Physics.
Awards support high-risk, high-impact research from early-career investigators.
A new study maps the genes and cellular pathways that contribute to exercise-induced weight loss.
Prokaryotes can detect hallmark viral proteins and trigger cell death through a process seen across all domains of life.
The findings of a large-scale screen could help researchers design nanoparticles that target specific types of cancer.
Alex Shalek’s technologies for single-cell RNA profiling can help dissect the cellular bases of complex diseases around the globe.
Award provides five years of funding and access to a community of innovative scholars and leaders in science and technology.