Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, Polars, and LangChain ...

A research team has developed a diagnostic system that uses artificial intelligence (AI) to accurately identify the type of ...

Deep learning has emerged as the dominant driver of anti-spoofing accuracy. Techniques like MobileFaceNet integrated with ...

The researchers report that their model achieved a 93% cross-validation score in binary classification, underscoring its potential as a reliable tool for public health monitoring. In contrast to ...

A team of researchers led by Dr. Ittai Herrmann at The Hebrew University of Jerusalem, in collaboration with Virginia State ...

Cibaca continues to explore image classification and deep learning from a research-first perspective. Her ongoing work ...

Participants performed touchscreen-based reaching tasks while wearing wireless motion sensors, which recorded linear acceleration, angular velocity, and roll-pitch-yaw orientation at millisecond ...

Scientists in Malaysia have developed a novel deep-learning method for PV suitability mapping. Applying the new approach to the Middle East, they found that approximately 5.8% of the region has very ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the ...

A research team led by Haruyo Yamamoto, Chisa Nakashima, and Atsushi Otsuka from Department of Dermatology, Faculty of ...

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