Bridging the gap between human and machine vision
Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.
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.
As natural language processing techniques improve, suggestions are getting speedier and more relevant.
Study: After eBay improved its translation software, international commerce increased sharply.
With its centerpiece exhibit for the forthcoming Universal Hip Hop Museum, an MIT team uses artificial intelligence to explore the rich history of hip hop music.
Using limited data, this automated system predicts a company’s quarterly sales.
Stimuli that sound or look like gibberish to humans are indistinguishable from naturalistic stimuli to deep networks.
Objects are posed in varied positions and shot at odd angles to spur new AI techniques.