Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

Machine learning could be used to help patients with schizophrenia, who often fear treatment due to stigma. Recent research ...

Instead of acting as isolated tools, ML, DT, and Edge AI work together to create intelligent, adaptive, and self-optimizing ...

Marine cone snails are host to a family of dangerous neurotoxins. Very little is known about how those toxins interact with ...

This study reveals a machine learning approach to find lower-carbon cement substitutes, offering a scalable solution to ...

I’m not so interested in LLMs anymore,” declared Dr. Yann LeCun, Meta’s Chief AI Scientist and then proceeded to upend ...

Large language models (LLMs), advanced artificial intelligence (AI) models trained to analyze and generate texts in different ...

Integrating historical data and physics-based analysis are both important to identifying cracking and system fatigue ...

While Japan is renowned among mountaineers for its challenging mountain terrain, it is also known for its high number of ...

The integration of AI-driven predictive maintenance in industrial environments is advancing operational efficiency but also introduces cybersecurity risks.

Tanuj Mathur uses AI and machine learning to create a cybersecurity framework, improving patch management, regulatory ...

The construction industry is in the midst of a profound transformation. Traditionally slow to digitize, it is now embracing ...