AI isn’t a win by default—architecture, truth, and strategy determine who actually turns AI into real business impact.
EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.
The traditional model of memory proposes that different types of long term memory are processed in separate brain modules. New research shows activation of these modules overlaps.
Abstract: With the development of real-time video conferences, interactive multimedia services have proliferated, leading to a surge in traffic. Interactivity becomes one of the main features on ...
Image: John Tredennick, Merlin Search Technologies. Anyone who has conducted document review knows the frustration of keyword search. You craft what seems like a comprehensive list of terms, run your ...
At Cisco's second annual AI Summit, Jeetu Patel said 70% of all AI products being developed at Cisco are using code that's generated by AI. Cisco CEO Chuck Robbins says 2026 is going to mark a turning ...
Qlik(R) , today announced it is joining the Open Semantic Interchange (OSI), an open source initiative that creates a universal specification for companies to standardize their fragmented data ...
Supply chain disruptions surged 38% in 2024, yet most manufacturers take two weeks to respond when they have just 72 hours to avoid major impact. Semantic intelligence can compress this reaction time ...
AtScale, the Universal semantic layer provider joins industry initiative to lead the advancement of vendor-neutral metrics for enterprise AI and BI AtScale, the leading provider of universal semantic ...
Abstract: With the rapid development of cloud computing and service computing, service recommendation systems play a crucial role in helping users efficiently filter the appropriate services. However, ...
What are you trying to achieve? Have a Microsoft Fabric solutin with a dev and prod workspace. When deploying to prod environment (using dabric deployment) the semantic model deployed still reference ...
In 2024, the elephant in the room was how generative artificial intelligence seized the conversation. In 2025, the dialog shifted to agents and the question of whether there’s an AI bubble happening ...