For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

HireArt's 2025 compensation report took a deep look at how much data annotators get paid. It's a fascinating window into how ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Researchers at Tsinghua University developed PriorFusion, a unified framework that integrates semantic, geometric, and ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...

Emerging AI-powered data discovery and semantic search tools promise to cut through the fragmentation, helping CX teams turn ...

Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface ...

AtScale, the leader in Universal Semantic Layer technology, today announced it has completed its largest equity financing to date in a financing led by Snowflake Ventures. This in ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Traditional semantic layers often rely on middle-tier caching, introducing additional latency and cost. MetaKarta Semantic Hub takes a different approach through orchestrated materialization, ...