When you’re running, you only have a certain amount of energy, and pacing is the placement of the energy. Hernandez likens it ...

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Abstract: Multivariate Time Series Classification (MTSC) has important research significance and practical value. Deep learning models have achieved considerable success in addressing MTSC problems.

This infographic depicts a simplified diagram of the novel energy-harvesting technique using the TL liquid. Implementation of this strategy in practice could help in the conversion of waste heat ...

A new type of computer uses oscillators in special materials to find the most efficient solutions to complex scheduling and routing problems at room temperature. (Nanowerk News) A line of engineering ...

When humans think about time, most imagine a steady flow of seconds ticking into minutes and minutes into hours which carry us from past to present to future. But in the science of quantum physics, ...

Physicists have used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system. The work is one of the relatively few instances of using AI ...

Generative artificial intelligence tools like ChatGPT, Gemini, and Grok have exploded in popularity as AI becomes mainstream. These tools don’t have the ability to make new scientific discoveries on ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

What if, just before we reach the bottom, we find out that reductionism fails? Big things are made of smaller things, and those smaller things are made of smaller things still. That’s reductionism in ...