One organization responding to this shift is Interview Kickstart, which has introduced the Agentic AI Course for Engineers and Developers and senior tech professionals. A 14-week training program ...
These are not “nice-to-haves”; they are prerequisites for distributed cognition, operating at machine speed. As Tatipamula and Cerf point out, the network can no longer simply host intelligence. It ...
Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
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 ...
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Is your enterprise architecture ready for AI?
When Krishna Mohan Yelisetty, Data Engineer at USAA, talks about low-code/no-code (LCNC) platforms and AI copilots, he doesn’t see them as sidekicks in the enterprise story. He sees them as the new ...
The Next Utility Operating System (UOS): NextNRG's patented AI platform reduces power downtime by 10% and interruptions by 17% through continuous monitoring, predictive analytics, and automated ...
Cooperative autonomous driving represents the frontier of intelligent transportation systems, where vehicles, infrastructure, and other road users share ...
In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...
A new technical paper titled “A Tensor Compiler for Processing-In-Memory Architectures” was published by researchers at ...
By participating in ISV Catalyst, software vendors gain access to Akamai's expansive cloud and edge computing infrastructure, positioning them to capture new demand as enterprises increasingly rely on ...
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