Authorization of prognostic AI medical devices

Thomas, JM, Cooney, LM and Fried, TR JAMA intern. Med. 179820 (2019). Article Google Scholar Riley, RD, D. van der Windt, Croft, P. and Moons, KGM (eds.). Prognosis research in health care: concepts, methods, and impact1st ed. (Oxford Univ. Press, 2019). Obermeyer, Z. & Emanuel, E.J. N.Engl. J.Med. 3751216-1219 (2016). Article Google Scholar Collins, GS…

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Supply chain resilience and AI readiness start with location-based data

For many supply chain organizations, the resilience conversation has shifted from reacting to disruption to understanding exposure. This shift requires companies to dig deeper, beyond tier-one suppliers, beyond transactional data, and into the physical and geographic realities that shape how goods are purchased, moved and stored over time. The question is no longer whether organizations…

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Cast AI Valued at Over $1 Billion With the Launch of Its GPU Marketplace

OMNI Compute is a unified compute marketplace that allows businesses to access, provision, and operate GPUs in any cloud or region, with no code changes required. MIAMI, January 12, 2026–(BUSINESS FEED)–Cast AI, the leading application performance automation platform, was introduced today OMNI calculationa unified compute control plane that automatically discovers available resources across cloud providers…

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What can we expect from Artificial Intelligence?

By Thomas B. Fowler (bio – articles – email) | January 21, 2026 Introductory note from Jeff Mirus: In 2024, Thomas Fowler wrote a series of four articles on artificial intelligence for CatholicCulture.org: At the end of 2025, Tom published a major book on this subject: Artificial intelligence: foundations, limits, advantages and dangers….

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From chips to jobs: Huang’s vision for AI at Davos 2026

Speaking in Davos, Huang argued that investments in AI strengthen employment by reorienting work from tasks to purpose, particularly in healthcare, manufacturing and digital services. AI evolves into a fundamental economic system rather than a standalone technology, according to NVIDIA CEO Jensen Huang, who described AI as a five-layer infrastructure spanning energy, hardware, data centers,…

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Building Trust in Agentic AI

From principles to practice As artificial intelligence systems become more agentic and capable of multi-step reasoning and autonomous action, the issue of trust moves from theory to practice. These challenges are the focus of the Trust in AI Alliance, a new forum hosted by Thomson Reuters Labs that brings together leading AI researchers and engineers…

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