Abstract: Federated Learning (FL) is a promising distributed machine learning framework that allows clients to collaboratively train a global model without data leakage. The synchronous FL suffers ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examples at ...
In a clear reflection of the Federal Government’s commitment to protecting critical economic sectors, especially manufacturing, while maintaining an efficient revenue collection system, the Nigeria ...
A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
Named after Malcolm Baldrige, the 26th U.S. Secretary of Commerce, this comprehensive management system, despite its pedigree, remains surprisingly under-recognized in business circles. Established ...
Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...
Embabel, an open source framework for authoring AI agentic flows on the JVM, has been launched by Spring Framework founder Rod Johnson. Johnson aims for Embabel to become the natural way to integrate ...
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