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 ...
Emerging AI-powered data discovery and semantic search tools promise to cut through the fragmentation, helping CX teams turn ...
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, ...
Ask five mortgage professionals to define “MISMO,” and you’re likely to hear five different answers …Data format.Investor ...
DataHub today announced it is joining the Open Semantic Interchange (OSI), an open source initiative that creates a universal specification for all companies to standardize their fragmented data ...
Abstract: Semantic communications, a promising approach for agent-human and agent-agent interactions, typically operate at a feature level, lacking true semantic understanding. This paper explores ...
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