Machine learning could cut delays from traffic lights

Researchers have designed a new system that uses machine learning to improve the flow of vehicles at traffic lights.

Texas A&M University • futurity
Jan. 20, 2021 ~5 min

machine-learning traffic science-and-technology

How explainable artificial intelligence can help humans innovate

AI algorithms can solve hard problems and learn incredible tasks, but they can't explain how they do these things. If researchers can build explainable AI, it could lead to a flood of new knowledge.

Forest Agostinelli, Assistant Professor of Computer Science, University of South Carolina • conversation
Jan. 13, 2021 ~7 min

machine-learning innovation artificial-intelligence computer-science innovation-and-invention process-of-innovation black-box reinforcement-learning

Thousands of ocean fishing boats could be using forced labor – we used AI and satellite data to find them

Forced labor is a widespread problem in fisheries on the high seas. Between 2012 and 2018, an estimated 100,000 people may have been victims of forced labor on thousands of different boats.

Gavin McDonald, Senior Project Researcher, University of California Santa Barbara • conversation
Dec. 21, 2020 ~8 min

machine-learning artificial-intelligence fisheries fishing human-rights satellite-data slavery forced-labor human-rights-violations

Cambridge launches Regulatory Genome Project

The project will use machine learning to sequence the world’s regulatory text and create an open-source repository of machine-readable regulatory information. 

Cambridge University News • cambridge
Dec. 21, 2020 ~3 min

machine-learning finance artificial-intelligence regulation alternative-finance

Making smart thermostats more efficient

A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.

Laboratory for Information and Decision Systems • mit
Dec. 18, 2020 ~6 min

machine-learning internet-of-things climate-change data research school-of-engineering electrical-engineering-computer-science-eecs algorithms idss laboratory-for-information-and-decision-systems-lids analytics mit-schwarzman-college-of-computing skoltech

It takes a lot of energy for machines to learn – here's why AI is so power-hungry

Training neural networks burns through a lot of energy. As the AI field grows, it's working to keep its carbon foot print from growing with it.

Kate Saenko, Associate Professor of Computer Science, Boston University • conversation
Dec. 14, 2020 ~8 min

machine-learning computing climate-change artificial-intelligence energy carbon-emissions global-warming energy-efficiency neural-networks reducing-carbon-emissions data-centers

Model could help determine quarantine measures needed to reduce Covid-19’s spread

A key finding: Early reopening last spring led to a dramatic drop in “quarantine strength” in southern and west-central U.S. states.

Jennifer Chu | MIT News Office • mit
Dec. 14, 2020 ~9 min

machine-learning mathematics artificial-intelligence covid-19 pandemic disease research mechanical-engineering school-of-engineering school-of-science technology-and-society disaster-response

Cambridge researchers awarded European Research Council funding

Five researchers at the University of Cambridge have won consolidator grants from the European Research Council (ERC), Europe’s premiere funding organisation

Cambridge University News • cambridge
Dec. 9, 2020 ~2 min

 machine-learning  chemistry  astrophysics  cosmology  photonics  statistics  programming