A step toward safe and reliable autopilots for flying
A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.
Polymer Day 2023 showcases interdisciplinary innovation
A record-breaking number of presenters flock to the MIT event’s poster competition; topics range from synthetic mucus to nature-inspired design.
Suzanne Freeman and Mariel Garcia-Montes receive 2023 Jeanne Guillemin Prize
Award from the Center for International Studies supports women pursuing doctorates in international affairs.
Bringing the social and ethical responsibilities of computing to the forefront
The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.
New model offers a way to speed up drug discovery
By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.
MIT researchers make language models scalable self-learners
The scientists used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.
Megawatt electrical motor designed by MIT engineers could help electrify aviation
Technology demonstrations show the machine’s major components achieve the required performance.
Scaling audio-visual learning without labels
A new multimodal technique blends major self-supervised learning methods to learn more similarly to humans.
40 Hz vibrations reduce Alzheimer’s pathology, symptoms in mouse models
Tactile stimulation improved motor performance, reduced phosphorylated tau, preserved neurons and synapses, and reduced DNA damage, a new study shows.
New MIT fellowship supports student research on governance innovation with Global South governments
A new cross-institute initiative between MIT Governance Lab, MISTI, and the Priscilla King Gray Public Service Center to support graduate student work in public sector innovation.
Breaking down barriers in music research
Associate Professor Leslie Tilley’s passion for a diversity of musical practices comes through in her research and in the classroom.
Computational model mimics humans’ ability to predict emotions
Using insights into how people intuit others’ emotions, researchers have designed a model that approximates this aspect of human social intelligence.
Turning a circle into a square is possible with this kirigami-inspired formula
A study inspired by the Japanese paper-cutting art provides a blueprint for designing shape-shifting materials and devices.
New tool helps people choose the right method for evaluating AI models
Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.
A more effective way to train machines for uncertain, real-world situations
Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.