Feeds Künstliche Intelligenz

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.

Systems of tiny robots may someday build high-performance structures, from airplanes to space settlements.

Beloved teacher and pioneer in hands-on engineering education developed design and robotics competitions at MIT, FIRST, and beyond, while promoting his concept of “gracious professionalism.”

MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.

Move over, Alexa and Siri. Talking Mabu robot provides one-to-one support while relaying information to doctors.

Model from the Computer Science and Artificial Intelligence Laboratory identifies “serial hijackers” of internet IP addresses.

Six scholars and professors are spending this academic year in engagement with the MIT community.

Study of minerals widely used in industrial processes could lead to discovery of new materials for catalysis and filtering.

Associate Professor Juejun Hu shines a light on the impact machine learning and AI are having on materials science and engineering.

New technique stretches out MRI scans of placentas so they can be more accurately analyzed, and shows the potential of MRI for pregnancy monitoring.

Professor’s startup brings millimeter-scale location tracking to factories, ports, and other industrial environments.

Five software and hardware projects will launch the MIT.nano Immersion Lab Gaming Program.

New structural design could lead to self-deploying tents or adaptive robotic fins.

Using IBM's The Weather Company, Vector uses AI and data analytics to predict and preempt downed poles and lines.

While machine learning developments are overwhelming the enterprise, many challenges will prevent teams from seeing the full value of these projects, Algorithmia found.

Report by GP Bullhound also calls out the rise of data lakes/death of relational databases and the rise of vertical AI SaaS offerings, and XaaS.

KPMG report says understanding and explaining how algorithms work is also key to success.

CEO and co-founder Sagie Davidovich touts future implications of his company's problem-solving platform.

By 2030, technological advances will move humans from a screen-based world to sense-based world, Ericsson found. Here's how.

Robotic process automation requires repetitive data. Find out which tools can help structure and read your data.

Many would like to see repetitive tasks automated, few want to work with non-humans.

Built-in privacy controls prevent IBM's CIMON 2 from being an always-on eavesdropper.

Built-in privacy controls prevent IBM's CIMON 2 from being an always-on eavesdropper.