This sets unrealistic expectations for AI and leads to misuse. It also slows progress toward building new AI applications.
Two computer science graduates at Rochester Institute of Technology are helping to demystify mathematics with a search engine specifically made for sophisticated math. David Stalnaker and Nidhin ...
Intactis Bio Corp, a leader in biohybrid computing, announced a major milestone: in a controlled laboratory setting, living ...
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AI’s math tricks don’t work for scientific computing
AI has driven an explosion of new number formats—the ways in which numbers are represented digitally. Engineers are looking at every possible way to save computation time and energy, including ...
A Rochester Institute of Technology Ph.D. student was part of a team of researchers that settled a 90-year-old math problem called Keller’s conjecture. David Narváez, a computing and information ...
Researchers at the University of Southern California (USC) in the US turned to an often overlooked particle for storing and processing quantum information to overcome the fragility of quantum ...
Researchers in China published a paper describing a theoretical model for photonic computing that used light particles instead of electrons for faster processing. The team developed “parallel optical ...
Australian researchers are turning to nature for the next computing revolution, harnessing living cells and biological systems as potential replacements for traditional silicon chips. A new paper from ...
In posits, the numbers that get used more frequently can be represented with more density. But posits don’t work for scientific computing, and this is a huge issue. They have a high density for ...
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