MIT’s Innovative Volumetric Approach: The Future of 3D Shape Mapping
By mapping the volumes of objects, rather than their surfaces, a new technique could yield solutions to computer graphics problems in animation and CAD. MIT…
CSAIL News
When AI Plays Judge: The Unintended Severity of Machine Learning Models
Researchers find that models trained using common data-collection techniques judge rule violations more harshly than humans would. Machine-learning models often make harsher judgments than humans…
MIT AI Image Generator System Makes Models Like DALL-E 2 More Creative
A new method developed by researchers uses multiple models to create more complex images with better understanding. With the introduction of DALL-E, the internet had…
MIT Scientists Release Open-Source Photorealistic Simulator for Autonomous Driving
MIT researchers unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles. Since they’ve proven to…
Robots Learn To Play With Play Dough – Better Than People With Just 10 Minutes of Data
Robots manipulate soft, deformable material into various shapes from visual inputs in a new system that could one day enable better home assistants. Many of…
New MIT Computer Model Helps Identify Mutations That Drive Cancer
The system rapidly scans the genome of cancer cells and could help scientists find targets for new drugs. Cancer cells can have thousands of DNA…
MIT Expert on Powerful Computers and Innovation
Q&A: MIT’s Neil Thompson on Computing Power and Innovation Innovation in many industries has been fueled by rapid increases in the speed and power of…
AI Machine-Learning: In Bias We Trust?
According to a new study, explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups. Machine-learning…
New Technique Dramatically Accelerates Computer Programs Without Fear of Errors
Computer scientists developed a new system that can make computer programs run faster, while guaranteeing accuracy. Researchers have pioneered a technique that can dramatically accelerate…
Charting a Safe Course for an Autonomous Robot Through a Highly Uncertain Environment
A new technique has been developed to safely guide an autonomous robot without knowledge of its environmental conditions or the size, shape, or location of…
Unpacking Black-Box Models: ExSum Mathematical Framework To Evaluate Explanations of Machine-Learning Models
MIT researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them. Modern machine-learning models, such as neural…
Security Tool – Privid – Guarantees Privacy in Surveillance Footage
“Privid” could help officials gather secure public health data or enable transportation departments to monitor the density and flow of pedestrians, without learning personal information…
When It Comes to AI, Can We Ditch the Datasets? Using Synthetic Data for Training Machine-Learning Models
A machine-learning model for image classification that’s trained using synthetic data can rival one trained on the real thing, a study shows. Huge amounts of…
Solving the Tricky Challenges of Robotic Pizza-Making
A new technique could enable a robot to manipulate squishy objects like pizza dough or soft materials like clothing. Imagine a pizza maker working with…
How the MIT Mini Cheetah Robot Learns To Run Entirely by Trial and Error
CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation. It’s been…
Adversarially Robust: The Benefits of Peripheral Vision for Machines
Researchers find similarities between how some computer-vision systems process images and how humans see out of the corners of our eyes. Perhaps computer vision and…
How To Help Humans Understand Robots – To Collaborate Faster and More Effectively
Theories from cognitive science and psychology could help humans learn to collaborate with robots faster and more effectively, scientists find. Scientists who study human-robot interaction…
Injecting Fairness Into AI: Machine-Learning Models That Produce Fair Outputs Even When Trained on Unfair Data
A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced. If a machine-learning model is…