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A close-up view of a new neuromorphic “brain-on-a-chip” that includes tens of thousands of memristors, or memory transistors.

Engineers put tens of thousands of artificial brain synapses on a single chip

The design could advance the development of small, portable AI devices.

June 8, 2020

An edible silk-based coating developed by MIT Assistant Professor Benedetto Marelli can preserve food longer and prevent food waste. Marelli has teamed up with other Boston-based scientists to form Cambridge Crops, a spinout company using silk technologies to extend the shelf life of all sorts of perishable foods.

MIT startup wraps food in silk for better shelf life

Cambridge Crops develops an edible, imperceptible coating that might replace plastic packaging to preserve meats and produce.

June 5, 2020

A new algorithm, called the Fast Loaded Dice Roller (FLDR), simulates the roll of dice to produce random integers. The dice, in this case, could have any number of sides, and they are “loaded,” or weighted, to make some sides more likely to come up than others.

Algorithm quickly simulates a roll of loaded dice

Approach for generating numbers at random may help analyses of complex systems, from Earth’s climate to financial markets.

May 28, 2020

MIT teams in the GEMINA program will provide a framework for more streamlined operations and maintenance costs for next-generation advanced nuclear reactors.

Making nuclear energy cost-competitive

Three MIT teams to explore novel ways to reduce operations and maintenance costs of advanced nuclear reactors.

May 27, 2020

Cellist Yo-Yo Ma performed and spoke at Virtual Solve at MIT.

Solve at MIT builds partnerships to tackle complex challenges during Covid-19 crisis

Event convened attendees from around the world to discuss impacts of the pandemic and advance solutions to pressing global problems.

May 27, 2020

Students participating in MIT Quest for Intelligence-funded UROP projects include: (clockwise from top left) Alon Kosowsky-Sachs, Isaac Wolverton, Kuan Wei Huang, and Karen Gu.

Undergraduates develop next-generation intelligence tools

UROP students explore applications in robotics, health care, language understanding, and nuclear engineering.

May 26, 2020

The startup Fireflies.ai is helping people get the most out of their meetings with a note-taking, information-organizing virtual assistant named Fred.

Fireflies helps companies get more out of meetings

Startup makes meeting data searchable and shareable, and automates data entry into workplace apps.

May 21, 2020

The researchers ran hundreds of atom-by-atom simulations of the propagation of cracks through different kinds of layered material, to see which ones were most effective at stopping the cracks from making it all the way through the material. Shown here are a variety of simulation runs showing different outcomes.

Machine-learning tool could help develop tougher materials

Engineers develop a rapid screening system to test fracture resistance in billions of potential materials.

May 20, 2020

White blood cells are among the first to mount an attack against sepsis, a deadly complication of Covid-19. In a project led by MIT Professor Daniela Rus, researchers are developing a machine learning system to detect an activated immune response to sepsis which could lead to earlier, more aggressive treatment. Here, a white blood cell attacks malaria.

Marshaling artificial intelligence in the fight against Covid-19

The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.

May 19, 2020

Participants collaborate online to propose innovative solutions to tackle the Covid-19 outbreak at MIT HealthHACK.

Virtual hackathon unites international community to tackle Covid-19

University students and professionals connect online to find practical solutions to problems linked with the current pandemic.

May 13, 2020

New research by MIT economist Daron Acemoglu shows that since 1987, automation has taken away jobs from lower-skill workers without being replaced by an equivalent number of labor-market opportunities.

Study finds stronger links between automation and inequality

Job-replacing tech has directly driven the income gap since the late 1980s, economists report.

May 5, 2020

MIT researchers have proposed a technique for shrinking deep learning models that they say is simpler and produces more accurate results than state-of-the-art methods. It works by retraining the smaller, pruned model at its faster, initial learning rate.

A foolproof way to shrink deep learning models

Researchers unveil a pruning algorithm to make artificial intelligence applications run faster.

April 30, 2020

MIT researchers used machine learning to find entirely new algorithms for encoding exploration. Their machine-designed algorithms outperformed human-designed algorithms on the wide range of simulated tasks and environments shown here.

Automating the search for entirely new “curiosity” algorithms

Researchers show that computers can “write” algorithms that adapt to radically different environments better than algorithms designed by humans.

April 28, 2020

Mathai Mammen, head of R&D at the Janssen Pharmaceutical Companies of Johnson & Johnson, was the keynote speaker at the Jameel Clinic's AI Powered Drug Discovery and Manufacturing Conference in February.

MIT conference reveals the power of using artificial intelligence to discover new drugs

Inaugural AI Powered Drug Discovery and Manufacturing Conference drew pharmaceutical companies, government regulators, and pioneering drug researchers.

April 27, 2020

MIT researchers have developed a new automated AI system with improved computational efficiency and a much smaller carbon footprint. The researchers’ system trains one large neural network comprising many pretrained subnetworks of different sizes that can be tailored to diverse hardware platforms without retraining.

Reducing the carbon footprint of artificial intelligence

MIT system cuts the energy required for training and running neural networks.

April 23, 2020

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