Researchers find similarities between how some computer-vision systems process images and how humans see out of the corners of our eyes.
A machine-learning model for image classification that’s trained using synthetic data can rival one trained on the real thing, a study shows.
Researchers have developed a technique for making quantum computing more resilient to noise, which boosts performance.
A new technique for removing bias in datasets can enable machine-learning models to make loan approval predictions that are both fair and accurate.
A new technique could enable a robot to manipulate squishy objects like pizza dough or soft materials like clothing.
A new technique compares the reasoning of a machine-learning model to that of a human, so the user can see patterns in the model’s behavior.
A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.
Researchers have developed a technique that enables a robot to learn a new pick-and-place task with only a handful of human demonstrations.
Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them.
Researchers use artificial intelligence to help autonomous vehicles avoid idling at red lights.
A new technique can safely guide an autonomous robot without knowledge of its environmental conditions or the size, shape, or location of obstacles it might encounter.
Researchers show they can control the properties of lab-grown plant material, which could enable the production of wood products with little waste.
Researchers developed a new system that can make computer programs run faster, while guaranteeing accuracy.
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.
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.
Researchers have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record.
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.
Cheap and quick to produce, these digitally manufactured plasma sensors could help scientists predict the weather or study climate change.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.