MIT welcomes eight MLK Visiting Professors and Scholars for 2022-23
Martin Luther King Jr. Visiting Professors and Scholars will enhance and enrich the MIT community through engagement with students and faculty.
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Martin Luther King Jr. Visiting Professors and Scholars will enhance and enrich the MIT community through engagement with students and faculty.
With FabO, PhD student Dishita Turakhia wants to empower students to learn digital fabrication by making video game objects and characters come alive.
Researchers have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record.
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Researchers created Exo for writing high-performance code on hardware accelerators.
BART and MARGE will reliably produce, store, and distribute 50 tons of rocket fuel per year on the surface of Mars.
Award provides five years of funding and access to a community of innovative scholars and leaders in science and technology.
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.
This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.
The second AI Policy Forum Symposium convened global stakeholders across sectors to discuss critical policy questions in artificial intelligence.
By tracing the steps of liver regrowth, MIT engineers hope to harness the liver’s regenerative abilities to help treat chronic disease.
Rapid increases in the speed and power of microchips have fueled innovation in many industries, but the future trajectory of that incredible progress may be in jeopardy.
MIT alumni-founded Overjet analyzes and annotates dental X-rays to help dentists offer more comprehensive care.
A new system lets robots manipulate soft, deformable material into various shapes from visual inputs, which could one day enable better home assistants.
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.