Understanding antibodies to avoid pandemics
Structural biologist Pamela Björkman shared insights into pandemic viruses as part of the Department of Biology’s IAP seminar series.
Jan. 19, 2021 • ~5 min
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MIT.nano’s Immersion Lab opens for researchers and students
Facility within MIT.nano offers equipment and capabilities for visualizing data, creating immersive environments.
Jan. 11, 2021 • ~10 min
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Instagram's redesign shifts toward shopping – here's how that can be harmful
Instagram's Shop button signals the growing commodification of human interactions on social media.
Dec. 28, 2020 • ~9 min
social-media facebook instagram online-shopping e-commerce surveillance-capitalism online-advertising predictive-algorithm personal-data
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.
Dec. 21, 2020 • ~8 min
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Making smart thermostats more efficient
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
Dec. 18, 2020 • ~6 min
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What children can teach governments about making graphs
There have been some shockingly bad graphs circulating during the pandemic.
Dec. 18, 2020 • ~9 min
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Want cheaper nuclear energy? Turn the design process into a game
Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
Dec. 17, 2020 • ~5 min
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Seasonal changes in UV may increase spread of COVID-19
Seasonal changes in UV may alter the spread of COVID but not as much as social distancing.
Dec. 16, 2020 • ~5 min
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Making data-informed Covid-19 testing plans
A new web-friendly modeling tool helps organizations build tailored Covid-19 testing strategies that can save money and reduce coronavirus spread.
Dec. 15, 2020 • ~7 min
covid-19 pandemic data research mechanical-engineering school-of-engineering electrical-engineering-computer-science-eecs idss health-sciences-and-technology analytics mit-schwarzman-college-of-computing
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.
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
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