New model helps identify mutations that drive cancer
The system rapidly scans the genome of cancer cells, could help researchers find targets for new drugs.
Seeing the whole from some of the parts
A new technique in computer vision may enhance our three-dimensional understanding of two-dimensional images.
Artificial neural networks model face processing in autism
A new computational model could explain differences in recognizing facial emotions.
The MIT Press relaunches the Software Studies series
The reshaped series will integrate a wide range of disciplines — from mathematics to critical race theory, from software art to queer theory — to understand the social and cultural implications of software.
Engineers build Lego-like artificial intelligence chip
The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.
Researchers discover a new hardware vulnerability in the Apple M1 chip
CSAIL scientists’ novel hardware attack against the Apple M1 chip defeats the last line of security while leaving no trace.
New CRISPR-based map ties every human gene to its function
Jonathan Weissman and collaborators used their single-cell sequencing tool Perturb-seq on every expressed gene in the human genome, linking each to its job in the cell.
Student-powered machine learning
Recent MEng graduates reflect on their application-focused research as affiliates of the MIT-IBM Watson AI Lab.
Keeping web-browsing data safe from hackers
Studying a powerful type of cyberattack, researchers identified a flaw in how it’s been analyzed before, then developed new techniques that stop it in its tracks.
Collin Stultz named co-director and MIT lead of the Harvard-MIT Program in Health Sciences and Technology
MIT professor will leverage his research into machine learning and computer science, as well as his role as a practicing cardiologist, toward educating clinician-scientists and engineers.
Faster computing results without fear of errors
Researchers developed a new system that can make computer programs run faster, while guaranteeing accuracy.
Hallucinating to better text translation
A machine-learning method imagines what a sentence visually looks like, to situate and ground its semantics in the real world, improving translation, like humans can.
Making data visualization more accessible for blind and low-vision individuals
Researchers have created prototypes that enable screen-reader users to quickly and easily navigate through multiple levels of information in an online chart.
Inaugural Day of AI brings new digital literacy to classrooms worldwide
Thousands of children participate in MIT-developed artificial intelligence curriculum.
In bias we trust?
Explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups, a new study finds.