The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
Physicists are using quantum computers to simulate high-intensity electromagnetic interactions to test the limits of light ...
Building the technology is one challenge, but understanding why it matters and how to apply it to construction is another. ...
User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...
Computational biologists developed a simple way to test a language model’s understanding of proteins. The method holds potential to improve a range of language models in science.
Abstract: Time-varying quadratic programming (TVQP) problems can be regarded as a challenging issue in a wide range of engineering applications, frequently incorporating equality, inequality, and ...
The big AI companies promised us that 2025 would be “the year of the AI agents.” It turned out to be the year of talking about AI agents, and kicking the can for that transformational moment to 2026 ...
Abstract: While deep learning-based robotic grasping technology has demonstrated strong adaptability, its computational complexity has also significantly increased, making it unsuitable for scenarios ...
Time delays in signal propagation represent a fundamental aspect of neuronal communication that profoundly influences information processing and learning (Gerstner et al., 1993, 1996, 1997). Synaptic ...
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