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Individuals now engage with agentic AI chatbots to perform a growing number of tasks. They can help a person shop for a new ...

Kharizmi helped solidify the concept of algorithms in mathematics and popularized algebra and the use of the zero.

Abstract: This article proposes a data-driven model-free inverse Q-learning algorithm for continuous-time linear quadratic regulators (LQRs). Using an agent’s trajectories of states and optimal ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

Abstract: In this paper, a new data-based Q-learning algorithm is proposed to address the optimal control issue for a class of discrete-time switched affine systems (SASs). The algorithm shifts the ...

Quantum computing could speed up AI and drug discovery by processing tasks faster. Investors can explore quantum computing ETFs or stocks like Alphabet for diversified exposure. Regular updates on ...

The alternative text for this image may have been generated using AI. In our framework, an RL rule is represented by a meta-network that determines the targets towards which the agent should move its ...

As a teenager in the Czech Republic, Lenka Zdeborová glimpsed her future in an Isaac Asimov novel. A character in Asimov’s “Foundation” series invents a mathematical method for predicting the path of ...

Higher education programs increasingly use algorithms based on students’ background, academic achievement, and other factors to predict whether they will complete a degree. These tools can help direct ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...