Microsoft updated its machine learning dev tooling with ML.NET 2.0 and a new version of Model Builder. ML.NET is the company's open source, cross-platform machine learning framework for .NET ...
Microsoft wants companies to build their own AI-powered “copilots” — using tools on Azure and machine learning models from its close partner OpenAI, of course. Microsoft defines a “copilot” as a ...
Microsoft has open sourced "ONNX Script," a library for authoring machine learning models in Python. While Python has long been recognized as a go-to programming language for data science and is often ...
Microsoft’s recent Azure Open Source Day showed off a new reference application built using cloud-native tools and services, with a focus on Microsoft’s own open source tools. The app was built to be ...
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Microsoft Defender XDR uses AI-powered incident prioritization to reduce alert fatigue and speed SOC triage. Machine learning scores incidents using threat context, MITRE ATT&CK signals, asset ...
Microsoft says it mitigated a known issue in one of its machine learning (ML) models that mistakenly flagged Adobe emails in Exchange Online as spam. As the company revealed in an advisory on the ...
Microsoft is starting to roll out a new Microsoft Entra Admin Center portal, along with some other product improvements announced this week. Additionally, users of the Microsoft Entra Identity ...
To create effective machine learning and deep learning models, you need copious amounts of data, a way to clean the data and perform feature engineering on it, and a way to train them on your data in ...
Microsoft recently unveiled several new artificial intelligence capabilities for healthcare organizations designed to help analyze diverse medical data, streamline nursing documentation and enable ...
20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning” is reshaping how researchers explore AI, ...
Data volumes continue to explode with the global “datasphere” – the total amount of data created, captured, replicated and consumed – growing at more than 20 percent a year to reach approximately 291 ...