A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

The quality of AI-generated artifacts and answers improves when certificates are demanded, even if the evidence provided by ...

Organoid Intelligence (OI) represents a groundbreaking convergence of biology and technology, aiming to redefine biocomputing using brain organoids—three-dimensional neural structures derived from ...

The more you learn about and use artificial intelligence (AI), the more you will see your skill set improve. The best is yet to come as you embrace and adapt to the changes.

Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

On-site at the ‘SF Future Sketch Workshop’ by Dong-A Science and the Korea Institute of Science and Technology (KIST) ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...