Rohan Nambiar ’27, an Associate Editorial editor, is a double concentrator in Mathematics and Economics in Leverett House. What’s in a grade? Grades are tools to promote learning. Yet the 20 percent ...
Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...
As social media becomes increasingly reliant on algorithmic feeds, creators are navigating a new normal: Just because you post something doesn’t mean your followers will see it. “I think that 2025 was ...
An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...
TikTok's owner, ByteDance, is expected to sell its US business to a buyer consortium. The new owners will retrain TikTok's content-recommendation algorithm, the White House said. TikTok staffers and ...
An international team led by the Clínic-IDIBAPS-UB along with the Institute of Cancer Research, London, has developed a new method based on DNA methylation to decipher the origin and evolution of ...
ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...
Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...
Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.
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