A machine-learning approach to inventory-constrained dynamic pricing
New study shows that Thompson sampling can be naturally combined with a classical linear program formulation to include inventory constraints.
New study shows that Thompson sampling can be naturally combined with a classical linear program formulation to include inventory constraints.
A star-studded lineup helps the Institute celebrate the launch of a new initiative on human and machine intelligence.
Automated data science tools developed by MIT and Feature Labs deliver their first AI product.
Gift will help launch new Institute-wide initiative in human and machine intelligence research.
Multiyear collaboration, led by Professor David Simchi-Levi, will focus on advancing research in machine learning, optimization, and consumer behavior modeling.
Alliance will be part of new MIT Intelligence Quest.
Institute-wide effort will study the evolution of jobs in an age of technological advancement.
New robotic system could lend a hand with warehouse sorting and other picking or clearing tasks.
New chip reduces neural networks’ power consumption by up to 95 percent, making them practical for battery-powered devices.
Examination of facial-analysis software shows error rate of 0.8 percent for light-skinned men, 34.7 percent for dark-skinned women.
Leadership urged to consider societal and ethical questions alongside the technical.
With new approach, researchers specify desired properties of a material, and a computer system generates a structure accordingly.
"We need to look to the past in the face of modern innovations in machine learning, robotics, artificial intelligence, big data, and beyond," says the economist.
New Institute-wide initiative will advance human and machine intelligence research.