Microsoft Working to Move Driver Updates to the Settings App in Windows 10

Wccftech | December 26, 2019

Microsoft has internally finalized the upcoming version of Windows 10, the 20H1 branch or version 2004. Scheduled for a spring 2020 release, this is a major update coming after May 2019 Update, which was followed by a smaller, service pack-like November 2019 Update. The Windows maker has also started to work on the 20H2 version, which appears to include a focus on making it easier for users to install optional updates and drivers. As reported earlier this month, the company released the last preview build of the year to Insiders in the Fast ring, which has now moved on to working on the version that will be released at the end of 2020. However, it should be noted that Microsoft itself hasn't associated this build with any particular branch and just said that the features being tested "may be slated for a future Windows 10 release," but they are no longer matched to a specific Windows 10 release.

Spotlight

The purpose of this document is to help technically-oriented professionals understand the security-related value BeyondTrust can bring to your organization. BeyondTrust can help your support organization stay secure and compliant, while improving the efficiency and success of your organization with a better end-user support experience

Spotlight

The purpose of this document is to help technically-oriented professionals understand the security-related value BeyondTrust can bring to your organization. BeyondTrust can help your support organization stay secure and compliant, while improving the efficiency and success of your organization with a better end-user support experience

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Algolia | June 07, 2022

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SOFTWARE

Weights & Biases and Run:Ai Announce Ml Developer Workflow Partnership

Weights & Biases | June 28, 2022

A partnership has been announced between Run:ai, the industry pioneer in computing orchestration for AI workloads, and Weights & Biases (W&B), the premier developer-first MLOps platform. In order to give ML developers and MLOps platform owners a smooth experience for MLOps and GPU orchestration for machine learning and deep learning workloads, the cooperation will concentrate on establishing connectors between the two platforms. "We are excited to partner with Run.ai to provide data scientists and ML practitioners the best tools for their ML development workflow. The combination of the developer tools provided by Weights and Biases, the dynamic allocation and orchestration of compute resources from Run.ai, and the optimized hardware and software provided by NVIDIA gives ML teams everything they need to accelerate the development and deployment of AI in the enterprise," said Seann Gardiner, VP of Business Development of Weights & Biases. The collaboration will simplify AI initiatives for academics in the field as well as the MLOps and IT teams in charge of maintaining the infrastructure. The Weights & Biases MLOps capabilities, including experiment and artifact tracking, hyperparameter optimization, and collaboration reports, will be available to ML practitioners in a single interface, along with access to NVIDIA accelerated computing resources managed by Run:Atlas ai's Platform. The W&B dashboard will allow ML developers to track NVIDIA GPU usage, and they can then increase it by using Run:scheduling ai's and orchestration features. In addition, the MLOps platform owner will be able to provide a single ML system of record to maintain an accurate history of all ML experiments, model history, and dataset versioning. They will also be able to optimize GPU resource scheduling and consumption for ML practitioners. "Run:ai and Weights & Biases together give data scientists, and the IT teams that support them, a complete solution for the full ML lifecycle, from building models, to training and inference in production. Companies building their AI infrastructure and tooling from scratch can use NVIDIA GPUs, Run:ai, and W&B and have everything they need to manage AI initiatives at scale." Omri Geller, CEO and co-founder of Run:ai The collaboration between Weights & Biases and Run:ai will significantly help ML academics and businesses using NVIDIA GPUs. As software partners for NVIDIA DGX-Ready and NVIDIA AI Accelerated, Run:ai and W&B have both received validation. In order to assist businesses to get the most out of their investment in NVIDIA-accelerated systems for ML and AI, the cooperation will build on connections between W&B and Run.ai with NVIDIA AI Enterprise software.

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AI TECH

XSELL Technologies Announces Partnership with Five9 to Deliver Results that Matter

XSELL Technologies | August 09, 2022

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