Graph theory and computational modeling reveal that neural network architecture biases the male Caenorhabditis elegans brain toward prioritized sexual behaviors.

Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...

The cryptocurrency market has been one of the most data-heavy financial sectors, with daily trading volumes reaching over ...

CNS-3D Brain Organoids Predict Clinical Seizure Liability Central nervous system (CNS) toxicity accounts for 25% of safety ...

The TEGNet emulator accelerates thermoelectric generator design, achieving 99% accuracy while cutting computation time to a ...

A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...

Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.

Researchers have proposed a SENet-CNN-Transformer model for predicting electric vehicle charging duration, aiming to improve ...

Among the many steps along the road to high-performance AI, one of the most important was taken in 2007 by Fei-Fei Li, then an assistant professor in Princeton’s computer science department. Using ...

Is brain imaging overlooking the truth? Research shows that "weak" brain connections predict behavior as well as top signals, ...