The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...

Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

For the first time in history, language evolution is partly being steered by machines trained on digital data.

Winning in AI-driven search requires redesigning the enterprise operating model around eligibility, governance, and structural clarity.

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Steffen Schmitz-Valckenberg, MD, discusses how optical coherence tomography-based models may enable rapid, noninvasive assessment of functional loss in GA at Angiogenesis 2026.

Learn how AI-driven personalization transforms customer loyalty. Explore predictive modeling and data strategies for ...

Rotation from growth to value is underway, with value and dividend portfolios strongly outperforming S&P 500 and Nasdaq into ...