Feeds Künstliche Intelligenz

Sorting through millions of possibilities, a search for battery materials delivered results in five weeks instead of 50 years.

Using a photorealistic simulation engine, vehicles learn to drive in the real world and recover from near-crash scenarios.

With help from artificial intelligence, researchers identify hidden power of vitamin A and ordinary chewing gum glaze.

New technique allows for more precise measurements of deformation characteristics using nanoindentation tools.

An MIT team discusses the pitfalls of “parachute research” and the importance of “sociotechnical” factors.

Catherine D’Ignazio’s new book, “Data Feminism,” examines problems of bias and power that beset modern information.

Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.

By observing humans, robots learn to perform complex tasks, such as setting a table.

Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.

In place of flat “breadboards,” 3D-printed CurveBoards enable easier testing of circuit design on electronics products.

Researchers discover that no magic is required to explain why deep networks generalize despite going against statistical intuition.

Technique may help scientists more accurately map vast underground geologic structures.

Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.

System ensures hackers eavesdropping on large networks can’t find out who’s communicating and when they’re doing so.

Tech-based solutions sought for challenges in work environments, education for girls and women, maternal and newborn health, and sustainable food.

MIT duo uses music, videos, and real-world examples to teach students the foundations of artificial intelligence.

PatternEx merges human and machine expertise to spot and respond to hacks.

In a Starr Forum talk, Luis Videgaray, director of MIT’s AI Policy for the World Project, outlines key facets of regulating new technologies.

A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.

MIT graduate student is assessing the impacts of artificial intelligence on military power, with a focus on the US and China.

The mission of SENSE.nano is to foster the development and use of novel sensors, sensing systems, and sensing solutions.

Mobile voting application could allow hackers to alter individual votes and may pose privacy issues for users.

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.

Chalk of the Day, an MIT student group, draws beautiful daily works of art on the chalk wall in Building 32.

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.

With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation.

External system improves phones’ signal strength 1,000 percent, without requiring extra antennas.

Routing scheme boosts efficiency in networks that help speed up blockchain transactions.

In a lively poster session, more than 100 undergraduates discuss their yearlong research projects on everything from machine learning to political geography.

Device made of heart tissue and a robotic pumping system beats like the real thing.

Doctoral candidate Natalie Lao wants to show that anyone can learn to use AI to make a better world.

Device developed within the Department of Civil and Environmental Engineering has the potential to replace damaged organs with lab-grown ones.

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.

Two staff members from Lincoln Laboratory and a professor in the School of Engineering are recognized for their influential research.

Using mathematical theory, Virginia Williams coaxes algorithms to run faster or proves they’ve hit their maximum speed.

Machine-learning system should enable developers to improve computing efficiency in a range of applications.

MIT researchers and collaborators have developed an open-source curriculum to teach young students about ethics and artificial intelligence.

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.

Weekend robotics workshops help middle and high school girls dispel “computing phobia.”

Stimuli that sound or look like gibberish to humans are indistinguishable from naturalistic stimuli to deep networks.