AI in Industry

A wave of domestic GPU startups is securing capital and shifting AI workload preferences, forcing global hardware vendors to reassess their China strategy.

Major hospital networks are finding AI's greatest value in eliminating manual work and improving data visibility, not autonomous decision-making.

Collaborative networks leverage machine learning to improve access and revenue at independent facilities struggling to compete with larger systems.

Health systems generate the data and clinical insights driving AI breakthroughs but rarely share in resulting profits. A new collaborative model could change that.

Innolight's public offering signals Hong Kong's resurgence as a capital hub for semiconductor firms powering artificial intelligence infrastructure.

A solo entrepreneur's ambitious Imperial Valley project tests whether independent operators can build hyperscale AI infrastructure without major tech anchor tenants.

As routine tasks get automated, providers discover the real bottleneck lies in judgment-based work where AI agents are now stepping in.

Dartmouth researchers find that large language models struggle with clinical reasoning, potentially increasing physician workload rather than reducing it.

A new evaluation contradicts earlier findings, adding uncertainty to hospitals' decisions about general-purpose versus dedicated medical AI systems.

Portfolio concentration rules are driving a $4.4 trillion exodus from semiconductor leaders dominating EM allocations.

One Brooklyn Health adopts intelligent virtual care technology to predict adverse events and expand nurse oversight across multiple hospital units.

Non-technical founders are using language models to draft investment pitches and business strategies, unlocking opportunities in underserved sectors like Medicaid.

High-bandwidth memory production emerges as the critical constraint limiting AI accelerator supply, prompting major capital investment.

The AI company is positioning Claude as a foundational platform for medical research, regulatory work, and clinical operations across the health sector.

Major hospital networks are accelerating artificial intelligence deployment by striking deals with Microsoft, Amazon, and Nvidia to transform clinical workflows.

FDA-cleared technology accelerates scan processing and reduces patient delays by over 60 percent without sacrificing diagnostic quality.

As hospitals create dedicated AI executive roles, tech leaders warn that isolating AI strategy from IT leadership misreads structural constraints as capability gaps.

Recent studies demonstrate AI outperforming physicians in clinical tasks, yet validation challenges and accountability questions persist for healthcare leaders.