MLCommons Launches
SAN FRANCISCO - December 3, 2020 -- Today, MLCommons, an open engineering consortium, launches its industry-academic partnership to accelerate machine learning innovation and broaden access to this critical technology for the public good. The non-profit organization initially formed as MLPerf, now boasts a founding board that includes representatives from Alibaba, Facebook AI, Google, Intel, and NVIDIA, as well as Professor Vijay Janapa Reddi of Harvard University; and a broad range of more than 50 founding members. The founding membership includes over 15 startups and small companies that focus on semiconductors, systems, and software from across the globe, as well as researchers from universities such as U.C. Berkeley, Stanford, and the University of Toronto. MLCommons will advance development of, and access to, the latest AI and Machine Learning datasets and models, best practices, benchmarks and metrics. An intent is to enable access to machine learning solutions such as computer vision, natural language processing, and speech recognition by as many people, as fast as possible.
Dec-11-2020, 20:12:20 GMT
- Country:
- North America
- Canada > Ontario
- Toronto (0.58)
- United States > California
- San Francisco County > San Francisco (0.25)
- Canada > Ontario
- North America
- Industry:
- Information Technology > Hardware (0.37)
- Semiconductors & Electronics (0.72)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning (1.00)
- Natural Language (0.94)
- Speech > Speech Recognition (0.37)
- Information Technology > Artificial Intelligence