Tag: Machine Learning
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Nation & World
A DEEPer (squared) dive into AI
Machine learning techniques give scientists faster returns of high-quality organ images.
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Nation & World
New University-wide institute to integrate natural, artificial intelligence
University-wide initiative made possible by gift from Priscilla Chan and Mark Zuckerberg.
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Nation & World
If we could talk to the animals … whales, specifically
A group of scholars who met at Radcliffe in 2017 have formed a nonprofit aimed at deciphering whale communication.
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Nation & World
On the clock
Researchers have built two machine learning models that gauge biological age and predict remaining lifespan in mice.
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Nation & World
Examining aftershocks with AI
Sparked by a suggestion from researchers at Google, Harvard scientists are using artificial intelligence technology to analyze a database of earthquakes from around the world in an effort to predict where aftershocks might occur. Using deep-learning algorithms, they developed a system that, while still imprecise, was able to forecast aftershocks significantly better than random assignment.
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Nation & World
The parrot knows shapes
Despite a visual system vastly different from that of humans, tests showed the bird could successfully identify both Kanizsa figures and occluded shapes. The findings suggest that birds may process visual information in a way that is similar to humans.
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Nation & World
The promise of ‘big data’
Harvard symposium embraces the goals and challenges of collecting and processing massive amounts of information on key complex issues.
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Nation & World
Advancing science and technology
The National Science Foundation is awarding grants to create three new science and technology centers this year, with two of them based in Cambridge. The two multi-institutional grants total $45 million over five years.
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Nation & World
Leslie Valiant wins Turing Award
The Association for Computing Machinery (ACM) today (March 9) named Leslie G. Valiant the winner of the 2010 ACM A.M. Turing Award for his fundamental contributions to the development of computational learning theory and to the broader theory of computer science.