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Favorite The Open Source Initiative recently kicked off a multi-stakeholder process to define machine learning systems that can be characterized as “Open Source.” A long list of non-profit organizations, corporations and research groups have joined our call to find a common understanding of “open” principles applied to artificial intelligence (AI).
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Shared by voicesofopensource July 13, 2023
Favorite We’re rolling out NotebookLM, an experimental offering from Google Labs to summarize information, complex ideas and brainstorm new connections. View Original Source (blog.google/technology/ai/) Here.
Favorite SAN FRANCISCO – July 12, 2023 – The public policy team of the Open Source Initiative (OSI) has launched the Open Policy Alliance (OPA), a new program aimed at building and supporting a coalition of underrepresented voices from public benefit and charitable foundations. The OPA, has been created in
Read More Shared by voicesofopensource July 12, 2023
Favorite As more and more customers are looking to put machine learning (ML) workloads in production, there is a large push in organizations to shorten the development lifecycle of ML code. Many organizations prefer writing their ML code in a production-ready style in the form of Python methods and classes
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Shared by AWS Machine Learning July 12, 2023
Favorite Posted by Amir Yazdanbakhsh, Research Scientist, and Vijay Janapa Reddi, Visiting Researcher, Google Research Computer Architecture research has a long history of developing simulators and tools to evaluate and shape the design of computer systems. For example, the SimpleScalar simulator was introduced in the late 1990s and allowed researchers
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Shared by Google AI Technology July 11, 2023
Favorite Traduit en français. It’s good news that the European Commission is now considering the value and needs of Open Source in its policy deliberations. What’s not as good is that it does so through the wrong lens. The Commission needs to extend its consultations, Expert Groups and other work
Read More Shared by voicesofopensource July 11, 2023
Favorite There is a very close link between knowledge and performance, which is at the heart of any KM framework. Knowledge results in performance. The more knowledge we have, the more capability we have, and the better we can perform. The more we learn from performance, the more knowledge we
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Shared by Nick Milton July 11, 2023
Favorite Posted by Malaya Jules, Program Manager, Google This week, the 61st annual meeting of the Association for Computational Linguistics (ACL), a premier conference covering a broad spectrum of research areas that are concerned with computational approaches to natural language, is taking place online. As a leader in natural language
Read More Shared by Google AI Technology July 10, 2023
Favorite Posted by Sanjay Subramanian, PhD student, UC Berkeley, and Arsha Nagrani, Research Scientist, Google Research, Perception Team Visual question answering (VQA) is a machine learning task that requires a model to answer a question about an image or a set of images. Conventional VQA approaches need a large amount
Read More Shared by Google AI Technology July 7, 2023
Favorite Amazon SageMaker is an end-to-end machine learning (ML) platform with wide-ranging features to ingest, transform, and measure bias in data, and train, deploy, and manage models in production with best-in-class compute and services such as Amazon SageMaker Data Wrangler, Amazon SageMaker Studio, Amazon SageMaker Canvas, Amazon SageMaker Model Registry,
Read More Shared by AWS Machine Learning July 7, 2023