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github.com
github.com › microsoft › s...connectors › ai › nvidia
semantic-kernel/python/semantic_kernel/connectors/ai/nvidia at main · microsoft/semantic-kernel · GitHub
Feb 21, 2026 — Integrate cutting-edge LLM technology quickly and easily into your apps - microsoft/semantic-kernel
devblogs.microsoft.com
devblogs.microsoft.com...=dailydev%20-%202023
Customer Case Study: SimCorp's AI Journey with Semantic Kernel | Semantic Kernel
Feb 20, 2026 —
⏱ 37 min read
learn.microsoft.com
learn.microsoft.com › en-us › semantic-kernel › overview
Introduction to Semantic Kernel | Microsoft Learn
Feb 21, 2026 — Learn about Semantic Kernel
⏱ 3 min read
aka.ms
aka.ms › AgentFramework › AIShow
AI Show: On Demand | New Agent Framework for Next Gen Multi Agent Solutions - YouTube
Feb 21, 2026 — Take an in-depth tour of Microsoft's new Agent Framework— converged runtime for Semantic Kernel + AutoGen. From prototyping single agents with Azure OpenAI, ...
ui.adsabs.harvard.edu
ui.adsabs.harvard.edu › abs › 2012ISPM...29...82H
Fuzzy Clustering of Seismic Sequences: Segmentation of Time-Frequency Representations - ADS
Feb 21, 2026 — Time-frequency (TF) representations based on minimum mean cross-entropy (MMCE) solution, Bessel kernel, and generalized marginal page distribution are used as the input of clustering. It is shown that...
learn.microsoft.com
learn.microsoft.com › en...p-ai-agents-on-azure
Develop AI Agents on Azure - Training | Microsoft Learn
Feb 21, 2026 — Learn how to develop AI agents on Azure using the Microsoft Foundry Agent Service and Semantic Kernel Agent Framework. AI-3026
⏱ 3 min read
ignite.microsoft.com
ignite.microsoft.com › e...K197?source=sessions
AI powered automation & multi-agent orchestration in Microsoft Foundry
Feb 21, 2026 — Build multi?agent systems the right way with Microsoft Foundry. Go from single?agent prototypes to fleet?level orchestration using the Foundry Agent Framework (Semantic Kernel + AutoGen), shared state...
doi.org
doi.org › 10.1214%2Faos%2F1176348248
On the Optimal Rates of Convergence for Nonparametric Deconvolution Problems
Feb 22, 2026 — Deconvolution problems arise in a variety of situations in statistics. An interesting problem is to estimate the density $f$ of a random variable $X$ based on $n$ i.i.d. observations from $Y = X + \va...
⏱ 4 min read
doi.org
doi.org › 10.1214%2Faos%2F1176344123
Mathematical Statistics in the Early States
Feb 22, 2026 — The history of mathematical statistics in the United States prior to 1885 is reviewed, with emphasis upon the works of Robert Adrain, Benjamin and Charles Peirce, Simon Newcomb, and Erastus De Forest....
⏱ 4 min read