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Massachusetts Institute of Technology: The intersection of math, computers, and everything else

Shardul Chiplunkar, a senior in Course 18C (mathematics with computer science), entered MIT interested in computers, but soon he was trying everything from spinning fire to building firewalls. He dabbled in audio engineering and glass blowing, was a ....

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The intersection of math, computers, and everything else

Shardul Chiplunkar uses interests in computing and mathematics to better explain and understand complex software systems, and to develop better tools and methodologies for large-scale professional software development, through fundamental research in the theory of programming languages and human-computer interaction. ....

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Intersection of math, computers, and everything else

Shardul Chiplunkar, a senior in Course 18C (mathematics with computer science), entered MIT interested in computers, but soon he was trying everything ....

Shardul Chiplunkar , Wellesley Toons , Adam Chlipala , Department Of Brain , Artificial Intelligence Laboratory Undergraduate Research Opportunities Program , Cognitive Sciences , Professor Tobias Gerstenberg At Stanford University , Silicon Valley , Linguistics Olympiad , Computer Science , Professor Adam Chlipala , Professor Tobias Gerstenberg , Stanford University , Joshua Rule ,

Computer's learning ability improved by tweaking AI software to function like a human brain: Study

Representative image
ANI |
Updated: Jan 12, 2021 12:44 IST
Washington [US], January 12 (ANI): Computer-based artificial intelligence can function more like human intelligence when programmed to use a much faster technique for learning new objects, say two neuroscientists who designed such a model that was designed to mirror human visual learning.
In the journal Frontiers in Computational Neuroscience, Maximilian Riesenhuber, PhD, professor of neuroscience, at Georgetown University Medical Center, and Joshua Rule, PhD, a postdoctoral scholar at UC Berkeley, explain how the new approach vastly improves the ability of AI software to quickly learn new visual concepts.
Our model provides a biologically plausible way for artificial neural networks to learn new visual concepts from a small number of examples, says Riesenhuber. We can get computers to learn much better from few examples by leveraging prior learning in a way that ....

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Tweaking AI software to function like a human brain improves computer's learning ability

Computer-based artificial intelligence can function more like human intelligence when programmed to use a much faster technique for learning new objects, say two neuroscientists who designed such a model that was designed to mirror human visual learning. ....

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