Disease development is often shaped by genetics, with how much or how little a gene is expressed influencing disease risk. While advances in technology and sequencing methods have led to a greater ...
Abstract: This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, ...
Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.
A few years back, Google made waves when it claimed that some of its hardware had achieved quantum supremacy, performing operations that would be effectively impossible to simulate on a classical ...
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 ...
Vicky Yao is an assistant professor of computer science and a member of the Ken Kennedy Institute at Rice University. To address this gap, Rice University researchers and collaborators at Boston ...
Bee Maps, the decentralized mapping project powered by Hivemapper, has raised $32 million in fresh funding to expand its global contributor network and scale its infrastructure, it announced Monday.
On Wednesday, Meta announced that it would use conversations with its AI chatbot to tailor ads. Advertising is a core business for Meta, comprising over 97% of its revenue in 2023 and 2024. Meta AI ...
On a scorching July afternoon in Shanghai, dozens of Chinese students hunch over tablet screens, engrossed in English, math and physics lessons. Algorithms track every keystroke, and the seconds spent ...
Companies across sectors have invested in AI at some of their new manufacturing sites. AI can help to increase production, predict machine breakdowns, and forecast demand. This article is part of "How ...
The workflow I want to enable is a seamless and native experience for clustering categorical and mixed data: This integrates categorical clustering directly into the robust and familiar scikit-learn ...