Machine learning speeds up vehicle routing
Strategy accelerates the best algorithmic solvers for large sets of cities.
Strategy accelerates the best algorithmic solvers for large sets of cities.
Chemical engineers created a coating for microbes that could make it easier to deploy the organisms to treat gastrointestinal disease.
Infection during pregnancy with elevated levels of the cytokine IL-17a may yield microbiome alterations that prime offspring for aberrant immune responses, mouse study suggests.
The system could help physicians select the least risky treatments in urgent situations, such as treating sepsis.
Study results also show that pancreatic tumor cells can be forced into a more susceptible state by changing their environment.
A new computational simulator can help predict whether changes to materials or design will improve performance in new photovoltaic cells.
A new “common-sense” approach to computer vision enables artificial intelligence that interprets scenes more accurately than other systems do.
Tomosyn’s tight regulation of neurotransmitter release distinguishes functions of two neuron classes at the fly neuromuscular junction.
MIT-IBM Watson AI Lab researchers aim to design concrete mixtures that use AI to shrink environmental footprint and cost, while recycling byproducts and increasing performance.
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.
The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods.
By integrating multiple sensory inputs, a loop of mutual inhibition among a small set of neurons allows worms to switch between long-lasting behavioral states.
A new AI-powered, virtual platform uses real-world physics to simulate a rich and interactive audio-visual environment, enabling human and robotic learning, training, and experimental studies.
A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.
MIT economist’s new research shows U.S. locales hammered by open trade with China have not rebounded, even a decade or more later.