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FedML Closes $11.5M Seed Round to Help Companies Build and Train Custom Generative AI Models

FedML Closes $11.5M Seed Round to Help Companies Build and Train Custom Generative AI Models
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FedML Closes $11.5 Million Seed Round to Help Companies Build and Train Custom Generative AI Models

Press Release FedML today announced that it closed $11.5 million in seed funding to expand development and adoption for its distributed MLOps platform, which helps companies efficiently train and serve custom generative AI and large language models using proprietary… ....

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Articles by Samson Amore – GeekWire

Articles by Samson Amore – GeekWire
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University Of Southern California , Trusted Machine Learning ,

USC Viterbi and Amazon create new USC-Amazon Center for Secure and Trusted Machine Learning

USC researchers will have the opportunity at the new center to discover large-scale solutions to privacy-preserving machine learning. (Daily Trojan file photo)
Housed in the Viterbi School of Engineering, Amazon’s data research efforts have moved to the University of Southern California to initiate the Center of Secure and Trusted Machine Learning. The partnership, announced in January, will look at customer data throughout the United States and develop research projects with the potential to bring about large-scale privacy preserving solutions.
“Today, machine learning is everywhere speech recognition, self-driving cars, web searches and even human genes research,” Provost Charles Zukoski said in an email to the ....

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USC and Amazon Establish Center for Machine Learning

By City News Service
Jan 30, 2021
LOS ANGELES (CNS) - USC and Amazon announced they are creating a joint research center focused on developing new approaches to machine learning privacy, security, and trustworthiness.
The Center for Secure and Trusted Machine Learning, which will be housed at the USC Viterbi School of Engineering, will support USC and Amazon researchers in the development of novel approaches to privacy-preserving ML solutions.
The expectation is that the center will unleash a new line of fundamental research on privacy and security aspects of machine learning a timely and critical effort given the proliferation of artificial intelligence across all aspects of society from education to finance, transportation, healthcare and many others.   ....

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