The AI landscape in 2025 is dominated by cutting-edge Large Language Models (LLMs) designed to revolutionize industries.

Where will the power come from? As AI workloads explode and U.S. data center power demand races toward 134 GW by 2030, the industry faces a fundamental constraint: the grid ...

AI WAS a highlight of the 2025 European Society for Medical Oncology (ESMO) Congress, held in Berlin, Germany, with sessions ...

Nest’s design is philosophically inspired by Angular. At its heart is a dependency injection (DI) engine that wires together ...

In late 2024, the Centers for Medicare and Medicaid Services previewed a significant revision to the risk-adjustment model ...

Now that we are spending more and more of our lives online, the threat from cybercriminals is ubiquitous and growing. Matthew ...

Intermountain Health is leaning heavily into automation and data-driven tools to offset clinician shortages and simplify high-volume work across the enterprise with about 300 AI projects underway, ...

Handle agent tasks with confidence. Opus 4.5 beats human benchmarks on intensive engineering and is available across major ...

This poses a problem when employees bring in unknown or unvetted AI tools into an organization. This conundrum has a name – ...

Claims that AI growth is merely a bubble ignore the broader picture. Revenues are real, cash flow is strong, and global ...

Report OverviewThe global medical billing software market is on track to grow at a robust pace, with expectations of achieving a CAGR of approximately 10% throughout the forecast period. This growth ...

Liquid AI spent 2025 pushing its Liquid Foundation Models (LFM2) and LFM2-VL vision-language variants, designed from day one for low-latency, device-aware deployments — edge boxes, robots, and ...