Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...
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'Rosetta stone' for database inputs reveals serious security issue
The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...
The deal keeps TikTok available for 200 million users across the U.S.
Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...
Tech companies have touted scientific findings from AI systems. But can they truly produce bona fide advancements?
Robin Rowe talks about coding, programming education, and China in the age of AI feature TrapC, a memory-safe version of the ...
A research group at TCG CREST (The Chatterjee Group Centres for Research and Education in Science and Technology) has found a way to make a key quantum algorithm run faster by doing something ...
From assessing a patient's cancer risk to setting criminal sentences, AI and algorithms are increasingly used to make ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
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What a virtual zebrafish can teach us about autonomous AI
Aran Nayebi jokes that his robot vacuum has a bigger brain than his two cats. But while the vacuum can only follow a preset ...
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