Scientists say they have very strong evidence that the adult human brain is capable of making new neurons, a point of ongoing ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Scientists show that the frequency of a set of words seems to have increased in published study abstracts since ChatGPT was ...

Methane (CH4) pyrolysis, a reaction that produces hydrogen without emitting carbon dioxide, often utilizes molten media ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

The gradient descent algorithm is a type of optimization algorithm that is widely used to solve machine learning algorithm model parameters. Through continuous iteration, it obtains the gradient of ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Researchers have demonstrated a new way of attacking artificial intelligence computer vision systems, allowing them to ...

Machine learning can help tighten constraints on the overarchingFor almost as long as humans have existed, we have been ...

Mean arterial pressure (MAP) is an important clinical parameter to evaluate the health of critically ill patients in intensive care units. Thus, the real time clinical decision support systems ...