A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Deep tech 5 impressive feats of DeepMind’s new self-evolving AI coding agent AlphaEvolve is a coding agents that improves the abilities other AI systems ...

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

Precise forecasting of water quality and river dis-charge is fundamental for sustainable water resource steward-ship, environmental protection, and public well-being. Conventional predictive ...

Communication overhead is a significant challenge in distributed deep learning (DDL) training, often hindering efficiency. While existing solutions like gradient compression, compute/communication ...

The integration of BP into ANN enables operators to not only model the intricate driving environment through the nonlinear mapping capacity of ANN, but also to dynamically adjust the weights within ...

Therefore, the aim of this research is to apply a cost evaluation approach that combines hybrid deep learning of a tunicate swarm algorithm (TSA) with an artificial neural network (ANN) for the cost ...