Abstract: Federated learning (FL) is a distributed machine learning (ML) paradigm designed for numerous networked devices. To face the massive data generated by devices and privacy concerns in model ...
New and improved: Computer-using agents, a new workflows experience, and real-time voice experiences
Expectations for agents are changing quickly. Teams want to move beyond conversational experiences to systems that can help get work done by interacting with applications, executing workflows, ...
Three recent federal decisions on whether client or pro se use of generative AI waives privilege. Side-by-side comparison of the facts, holdings, and reasoning across Heppner, Warner, and Morgan.
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