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 ...

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

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

AI’s performance advantages are tightly linked to methodological rigor and technological integration. Data preprocessing ...

Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems ...

In this interview, Amazon ML Summer School 2025 expands focus to generative AI, hands-on learning, and tier-3 talent—marking ...

Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce ...

An agile, policy-driven approach externalizes cryptographic decisions into a centralized repository of rules that govern ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel ...

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