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 ...
Researchers at Tsinghua University developed PriorFusion, a unified framework that integrates semantic, geometric, and ...
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 ...
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, ...
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 ...
Contrastive vision-language models such as CLIP have shown remarkable performance in aligning images and text within a shared embedding space. However, they typically treat text as flat token ...
Abstract: As wireless networks approach their Shannon capacity limit amid exponentially increasing data demands, semantic communication, which transmits the meaning of data rather than its exact form, ...
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