Pearl Health has raised $110 million to expand its AI platform for Medicare providers, marking another major vote of confidence in technology built for the shift from fee-for-service medicine to value ...

Spread the love“`html The quest for accurate climate modeling has taken a groundbreaking turn with recent developments in ...

The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and ...

Dr Nigam Prakash Narain highlights how immunisation, surveillance, timely treatment and community participation helped Gaya ...

Abstract: Utilizing fake data (simulated based on mechanism models or generated through data-driven models) for data enhancement is a popular approach to solve the problem of fault diagnosis with ...

On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

Plus, a free, open-source AI tool built by Vector's AI Safety research scientists that helps detect, explain, and rewrite biased language in written content and AI training datasets ? in seconds.

Abstract: With high-proportion power electronic converters penetrating AC grid, high-frequency oscillations of AC voltage and current are frequently observed during system dynamics. The ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...