Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...
Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...
Frustrated job seekers are taking legal action against the "black box" of AI hiring algorithms. Explore how the fight for ...
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 ...
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Opinion: What we can learn from Australia’s social media ban
AI and computer science education should be a requirement for all K-12 students, providing them with the knowledge and agency ...
Koch, who studied vision, thought that by measuring people's brain responses as they looked at special optical illusions, ...
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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 ...
For 21 years, between 1999 and 2020, millions of people worldwide loaned UC Berkeley scientists their computers to search for ...
Q-Day” may be a years away, but there's an urgent need to get serious about quantum security today, experts have warned.
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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 ...
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