With these extreme specs, the ROG Strix SCAR 16 (2025) is exceptionally well-suited for machine learning tasks. The RTX 5090 GPU’s 24 GB VRAM allows you to train very large neural networks and ...

More information: Yunyu Xiao et al, Machine learning to investigate policy-relevant social determinants of health and suicide rates in the United States, Nature Mental Health (2025). DOI: 10.1038 ...

Microsoft says it mitigated a known issue in one of its machine learning (ML) models that mistakenly flagged Adobe emails in Exchange Online as spam. As the company revealed in an advisory on the ...

In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard ...

Researchers at Northwestern Engineering have developed a scientific machine learning framework that predicts and inversely designs the mechanical behavior of spinodal metamaterials – specially ...

As artificial intelligence (AI) and machine learning (ML) continue to advance, Linux has established itself as the preferred environment for AI development. Its open source nature, security, stability ...

If you’re wondering about the difference between a chatbot and a LLM, or between deep learning and ... or turn a vertical photo into a wide-screen wallpaper. When AI presents fiction as fact ...

Researchers have used a genetic learning algorithm to identify optimal pitch profiles for the blades of vertical-axis wind ... of sensor technology and machine learning. In a paper recently ...

“Proprietary data and distribution will be a winning combination in the race to build both horizontal and vertical AI applications ... is thirsty work: Machine learning startups can charge ...

These improvements in storage and speed have allowed machine learning to progress from a dream to reality. Data in both panels are estimates from many types of system architecture and are derived ...

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions ...