More-flexible machine learning
Giving machine-learning systems “partial credit” during training improves image classification.
Giving machine-learning systems “partial credit” during training improves image classification.
At MIT Lincoln Laboratory's LLCipher workshop, students practice critical thinking and learn some cybersecurity basics.
System learns to play text-based computer game using only linguistic information.
System can convert MRI scans into 3D-printed, physical models in a few hours.
Startup’s platform analyzes data from multiple sources to better predict buying preferences.
System learns to distinguish words’ phonetic components, without human annotation of training data.
More efficient memory-management scheme could help enable chips with thousands of cores.
Seeking to reduce traffic casualties, center will focus on robotics and artificial intelligence systems.
Design tool lets novices do in minutes what would take experts in computer-aided design hours.
Autonomous vehicles share sidewalk space with pedestrians in six-day trial in Singaporean public garden.
PhD student Justin Chen magnifies minuscule vibrations in structures to detect damage.
Theoretical analysis could expand applications of accelerated searching in biology, other fields.
Nick Roy develops unmanned aerial vehicles that can operate autonomously in constrained spaces and unmapped environments.
Printer from Computer Science and Artificial Intelligence Lab uses machine vision and 3-D scanning to self-correct and directly embed components.
Formally verified working file system could lead to computers guaranteed never to lose your data.