Abdul Latif Jameel Water and Food Systems Lab (J-WAFS)
Abdul Latif Jameel Water and Food Systems Lab (J-WAFS)

Abdul Latif Jameel Water and Food Systems Lab (J-WAFS)

Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) Algorithms Animals Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Data Ecology Electrical engineering and computer science (EECS) Environment Graduate, postdoctoral Interview machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Pollution Research School of Engineering Students Sustainability

3 Questions: How AI is helping us monitor and support vulnerable ecosystems

MIT PhD student and CSAIL researcher Justin Kay describes his work combining AI and computer vision systems to monitor the ecosystems that support our planet.

Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) Algorithms Alumni/ae Artificial Intelligence Data Faculty Food India MIT Sloan School of Management Policy Poverty Profile Research Sustainability

Optimizing food subsidies: Applying digital platforms to maximize nutrition

An algorithm can change the face of food assistance policy in the Global South, says MIT assistant professor and J-WAFS researcher Ali Aouad.

Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) Artificial Intelligence Chemical engineering Collaboration Education, teaching, academics Industry Labor and jobs Manufacturing Mechanical engineering MIT.nano Political science School of Engineering School of Humanities Arts and Social Sciences Technology and policy

MIT gears up to transform manufacturing

The Initiative for New Manufacturing is convening experts across the Institute to drive a transformation of production across the U.S. and the world.

Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) Algorithms Animals Artificial Intelligence computer-vision Data Ecology Electrical engineering and computer science (EECS) Environment Faculty Food machine learning Research School of Engineering Sustainability

Streamlining data collection for improved salmon population management

Assistant Professor Sara Beery is using automation to improve monitoring of migrating salmon in the Pacific Northwest.