Artificial intelligence yields new antibiotic
A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
Longtime MIT professor strongly influenced the fields of probability, statistics, and machine learning.
Through the Undergraduate Research Opportunities Program, students work to build AI tools with impact.
Flexible sensors and an artificial intelligence model tell deformable robots how their bodies are positioned in a 3D environment.
Text-generating tool pinpoints and replaces specific information in sentences while retaining humanlike grammar and style.
By organizing performance data and predicting problems, Tagup helps energy companies keep their equipment running.
Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.
Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.
MIT’s new system TextFooler can trick the types of natural-language-processing systems that Google uses to help power its search results, including audio for Google Home.
Starting with higher-value niche markets and then expanding could help perovskite-based solar panels become competitive with silicon.
Computer scientists’ new method could help doctors avoid ineffective or unnecessarily risky treatments.
Model tags road features based on satellite images, to improve GPS navigation in places with limited map data.
A new method determines whether circuits are accurately executing complex operations that classical computers can’t tackle.
Models that map these relationships based on patient data require fine-tuning for certain conditions, study shows.
Machine-learning system should enable developers to improve computing efficiency in a range of applications.