Feeds Künstliche Intelligenz

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.

Objects are posed in varied positions and shot at odd angles to spur new AI techniques.

A novel experimental facility integrates automation and active learning, illuminating a path to accelerated scientific discovery.

A new computational imaging method could change how we view hidden information in scenes.

The Institute's largest academic department reorganizes with new leadership as part of the formation of the MIT Schwarzman College of Computing.

Cornell University professor and physicist uses nanoscale parts to create smart, active microbots.

Model registers “surprise” when objects in a scene do something unexpected, which could be used to build smarter AI.

The inaugural dean shares an update on the process of building a college.

Model quickly generates brain scan templates that represent a given patient population.

With “In Event of Moon Disaster,” the MIT Center for Advanced Virtuality aims to educate the public on deepfakes with an alternative history of the moon landing.

As automation rises in the workplace, speakers explore ways to train students and reskill workers.

Optimizing soft robots to perform specific tasks is a huge computational problem, but a new model can help.

Using deductive reasoning, the bot identifies friend or foe to ensure victory over humans in certain online games.

To help the region catch up, students organize summit to bring Latin policymakers and researchers to MIT.

System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?

Historian's research focuses on understanding how visions for social and economic policy are tied to changing ideas about technology.

New tool highlights what generative models leave out when reconstructing a scene.

Materials Day speaker Brian Storey describes how the Toyota Research Institute is embracing machine learning to advance the use of electric vehicles.

Its extendable appendage can meander through tight spaces and then lift heavy loads.

The ability to predict and make new materials faster highlights the need for safety, reliability, and accurate data.

Grad student Brandon Leshchinskiy created EarthDNA Ambassadors, an outreach program “for the Earth, for future generations.”

Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.

Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.

Navigation method may speed up autonomous last-mile delivery.

An artificial intelligence model developed at MIT shows in striking detail what makes some images stick in our minds.

New control system may enable humanoid robots to do heavy lifting and other physically demanding tasks.

Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including inspection.

By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.

Modeling web traffic could aid cybersecurity, computing infrastructure design, Internet policy, and more.

Drones can fly at high speeds to a destination while keeping safe “backup” plans if things go awry.

Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.

Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.

Senior Kristy Carpenter aims to leverage artificial intelligence and other computational tools to develop new, more affordable drugs.

Report urges MIT community to openly share the products of its research and teaching.

Edelman's Julia programming language was recognized for solving large computational problems for high-performance computers.

New research reveals biases in fake news datasets and improves the use of automatic detectors.

An algorithm speeds up the planning process robots use to adjust their grip on objects, for picking and sorting, or tool use.

Model could recreate video from motion-blurred images and “corner cameras,” may someday retrieve 3D data from 2D medical images.