Federated Averaging: The Backbone of Federated Learning
Federated Averaging represents a significant advancement in the use of artificial intelligence in privacy-sensitive applications. By allowing for collaborative …
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Federated Averaging represents a significant advancement in the use of artificial intelligence in privacy-sensitive applications. By allowing for collaborative …
Confluent's Current conference highlighted the critical role of data streaming in addressing the real-time data needs of AI.
Building an LLM can be a strategic play for many organizations. Yet, even with all the benefits of doing so, third-party models still make a lot of sense for …
The next frontier in intelligent systems includes systems that are designed to go beyond traditional AI by continuously learning, adapting, and evolving in …
In this week's real-time analytics news: The New Jersey Institute of Technology (NJIT) will establish the Grace Hopper AI Research Institute to advance the …
The responsible use of GenAI is not merely a choice; it is an imperative. In the absence of clear regulatory guidelines, businesses should develop a discerning …
Before plant managers implement an AI-driven approach, they must take a number of steps starting with meeting the infrastructure needs of
The future of cybersecurity will be defined by new threats emerging from AI and machine learning and evolving cloud vulnerabilities. As such, organizations …
The ability for companies to benefit from the convergence of cloud computing and generative AI will hinge upon putting both technologies to work on their data.
In this week's real-time analytics news: Deloitte, working with NVIDIA and Oracle, announced the launch of AI Factory as a