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

By combining Raman spectroscopy with deep learning algorithms, scientists can differentiate between synthetic cannabinoids ...

Deep learning using fundus and optical coherence tomography imaging may identify mental disorders during routine eye exams.

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

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

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

Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, ...

Chandrashekar Althati's patented multivariate classification revolutionizes real-time transaction analysis, driving fraud ...

In essence, AutoML for Embedded uses advanced algorithms like SMAC and Hyperband to automate model search and tuning. Further ...

FEMI, an AI model for IVF, uses 18 million images to improve embryo assessment, offering a non-invasive, cost-effective ...

Discover a study showing how AI outperforms dermatologists in diagnosing facial pigmented lesions, supporting safer and more effective treatment decisions.

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...