Category: AI/ML
PyTorch 2.0: Our next generation release that is faster, more Pythonic and Dynamic as ever
We are excited to announce the release of PyTorch® 2.0 which we highlighted during the PyTorch Conference on 12/2/22! PyTorch 2.0 offers the same eager-mode development and user experience, while fundamentally changing and supercharging how PyTorch operates at compiler level under the hood with faster performance and support for Dynamic Shapes and Distributed. This…
Read MoreGoogle Open-Sources Gesture Tracking AI For Mobile Devices
Google previewed the new technique at the 2019 Conference on Computer Vision and Pattern Recognition in June and recently implemented it in MediaPipe, a cross-platform framework for building multimodal applied machine learning pipelines to process perceptual data of different modalities (such as video and audio). Both the source code and…
Read MoreIBM joins Linux Foundation AI to promote open source trusted AI workflows
AI is advancing rapidly within the enterprise — by Gartner’s count, more than half of organizations already have at least one AI deployment in operation, and they’re planning to substantially accelerate their AI adoption within the next few years. At the same time, the organizations building and deploying these tools have yet…
Read MoreMicrosoft Releases Open Source AI Conversation Modeling Toolkit, Icecaps
Microsoft Research has unveiled Icecaps, a new open source solution for neural conversational networks. The toolkit leverages multitask learning to improve conversation AI systems, such as giving them multiple personas. “[It’s] a new open-source toolkit that not only allows researchers and developers to imbue their chatbots with different personas, but also…
Read MoreStreamlit launches open source machine learning application development framework
Streamlit, a new machine learning startup from industry veterans, who worked at GoogleX and Zoox, launched today with a $6 million seed investment and a flexible new open source tool to make it easier for machine learning engineers to create custom applications to interact with the data in their models.…
Read MoreGoogle Launches TensorFlow Machine Learning Framework For Graphical Data
Google today introduced Neural Structured Learning (NSL), an open source framework that uses the Neural Graph Learning method for training neural networks with graphs and structured data. The new framework also includes tools to help developers structure data and APIs for the creation of adversarial training examples with little code.…
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