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The Conference on Neural Information Processing Systems, held in 2019 in Vancouver, Canada, is the largest in the discipline of artificial intelligence. Khari Johnson/VentureBeat
AI conferences use AI to assign papers to reviewers
Apr. 1, 2021 , 3:30 PM
Artificial intelligence (AI) researchers are hoping to use the tools of their discipline to solve a growing problem: how to identify and choose reviewers who can knowledgeably vet the rising flood of papers submitted to large computer science conferences.
In most scientific fields, journals act as the main venues of peer review and publication, and editors have time to assign papers to appropriate reviewers using professional judgment. But in computer science, finding reviewers is often by necessity a more rushed affair: Most manuscripts are submitted all at once for annual conferences, leaving some organizers only a week or so to assign thousands of papers to a pool of thousands of reviewers.
Who needs a teacher? Artificial intelligence designs lesson plans for itself
Jan. 19, 2021 , 3:15 PM
Unlike human students, computers don’t seem to get bored or frustrated when a lesson is too easy or too hard. But just like humans, they do better when a lesson plan is “just right” for their level of skill. Coming up with the right curricula isn’t easy, though, so computer scientists wondered: What if they could make machines design their own?
That’s what researchers have done in several new studies, creating artificial intelligence (AI) that can figure out how best to teach itself. The work could speed learning in self-driving cars and household robots, and it might even help crack previously unsolvable math problems.
Watch an AI robot walk with a broken leg, thanks to a brain that never stops learning
Dec. 21, 2020 , 9:00 AM
Watch the two simulated robots above, and you’ll notice a big difference. Even though both of their “brains” have evolved over 300 generations to allow them to walk, only one succeeds; the other falls flat on its back.
That’s because only the bot on the left has learned to adapt to new circumstances. Artificial intelligence (AI) often relies on so-called neural networks, algorithms inspired by the human brain. But unlike ours, AI brains usually don’t learn new things once they’ve been trained and deployed; they’re stuck with the same thinking they’re born with.
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