Posts in tag

PyTorch


IBM Research and PyTorch have come together to enable foundation models with billions of parameters to easily run on standard cloud networking infrastructure, such as Ethernet networking. IBM Research and PyTorch have come together to enable foundation models with billions of parameters to easily run on standard cloud networking infrastructure, such as Ethernet networking. The …

GPUs play an important role in the delivery of the compute needed for deploying AI models, especially for large-scale pretrained models in computer vision, natural language processing, and multimodal learning. Currently, AI practitioners have very limited flexibility when choosing a high-performance GPU inference solution because these are concentrated in platform-specific, and closed black box runtimes. A machine learning …

Since we partnered with the AI community to create the PyTorch framework for AI research six years ago, open collaboration has been essential to its success. With some 2,400 contributors who have built more than 150,000 projects on the framework, PyTorch has become one of the leading platforms for AI research as well as commercial production use. Today, we …

What the research is: Meta AI is open-sourcing Theseus, a library for an optimization technique called differentiable nonlinear least squares (NLS) that is particularly useful for applications like robotics and computer vision. Built on PyTorch, Theseus enables researchers to easily incorporate expert domain knowledge into modern AI architectures. It does this by expressing that knowledge as …

Machine learning is a huge discipline, with applications ranging from natural language processing to solving partial differential equations. It is from this landscape that major frameworks such as PyTorch, TensorFlow, and Flux.jl arise and strive to be packages for “all of machine learning”. While some of these frameworks have the backing of large companies such as Facebook …

​What’s New: Intel has released the first set of open source AI reference kits specifically designed to make AI more accessible to organizations in on-prem, cloud and edge environments. First introduced at Intel Vision, the reference kits include AI model code, end-to-end machine learning pipeline instructions, libraries and Intel oneAPI components for cross-architecture performance. These kits enable data scientists …

Qualcomm Technologies, Inc. announced Qualcomm® AI Stack portfolio, accelerating the company’s leadership in artificial intelligence (AI) and the Connected Intelligent Edge. Combining and improving its best-in-class AI software offerings, Qualcomm AI Stack is a comprehensive AI solution for OEMs and developers, supporting a wide range of intelligent devices with broad AI software access and compatibility. …

Machine learning is a huge discipline, with applications ranging from natural language processing to solving partial differential equations. It is from this landscape that major frameworks such as PyTorch, TensorFlow, and Flux.jl arise and strive to be packages for “all of machine learning”. While some of these frameworks have the backing of large companies such as Facebook …

Microsoft is committed to the responsible advancement of AI to enable every person and organization to achieve more. Over the last few months, we have talked about advancements in our Azure infrastructure, Azure Cognitive Services, and Azure Machine Learning to make Azure better at supporting the AI needs of all our customers, regardless of their …

Artificial intelligence (AI) offers important benefits for people in areas such as transportation, commerce, and beyond. While AI is constantly improving at understanding the dynamics of the world we live in, there is much more work to do. We’re firm believers that it will progress faster with early involvement from experts with diverse perspectives. If …