Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

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

Q4 2025 Earnings Call February 18, 2026 8:30 AM ESTCompany ParticipantsTal Jacobson - CEO & DirectorElad Tzubery - ...

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 ...

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

The term has left the industry divided, with definitions shaped as much by marketing as by technical consensus.

Chinese Kung Fu once again amazes the world, as traditional culture and technology advance together in a win-win partnership. From a globally screen-dominating debut to hard-core capabilities that ...

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

Field-level analysis examines how ranking algorithms shape consumer trust, visibility, and competition in local service ...