A principal software architect whose fingerprints are on two of Microsoft’s open source AI frameworks, plus the connective ...
Microsoft has released version 1.0 of its open-source Agent Framework, positioning it as the production-ready evolution of the project introduced in October 2025 by combining Semantic Kernel ...
Google published a research paper about helping recommender systems understand what users mean when they interact with them. Their goal with this new approach is to overcome the limitations inherent ...
Dec. 15—MITCHELL — The Mitchell High School boys basketball team is set to look much different in 2025-26. From the most recent of three straight state title game appearances, the Kernels graduated ...
Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...
Abstract: Most video compression methods focus on human visual perception, neglecting semantic preservation. This leads to severe semantic loss during the compression, hampering downstream video ...
Abstract: Electroencephalography (EEG) feature learning is crucial for brain-machine interfaces and medical diagnostics. Existing deep learning models for classification often overlook the intrinsic ...
This looks similar to the cause of #12347 where Google has changed their APIs which break the Semantic Kernel implementation for function calls. Users using Google's SDK / CLI have reported this issue ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results