Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse ...
MONTRÉAL, CANADA, Oct. 16, 2025 (GLOBE NEWSWIRE) -- T-RIZE Group and École de technologie supérieure (ÉTS) are proud to announce that the Industrial Research Chair in Tokenization, established in 2024 ...
Add a description, image, and links to the distributed-learning topic page so that developers can more easily learn about it.
How Parallel AI Agents Accelerate Speed and Performance: Insights from Andrew Ng and DeepLearning.AI
According to DeepLearning.AI, Andrew Ng highlights in The Batch how deploying parallel AI agents can significantly scale AI systems’ speed and performance by addressing multiple tasks simultaneously, ...
Abstract: Federated learning (FL) is one of the popular distributed machine learning (ML) solutions but incurs significant communication and computation costs at edge devices. Federated split learning ...
Vikram Gupta is Chief Product Officer, SVP & GM of the IoT Processor Business Division at Synaptics, a leading EdgeAI semiconductor company. In my previous articles, I explored how the rapid growth of ...
Large language models (LLM) have become a critical component in many applications of machine learning. However, standard approaches to training LLM require a large number of tightly interconnected ...
The Great Power Competition is no longer confined to traditional warfare. It plays out in data, algorithms and artificial intelligence (AI). As adversaries weaponize misinformation and cyber attacks ...
Abstract: As privacy protection gains momentum, federated learning has emerged as a cutting-edge approach in medical image analysis. However, the intricacies of medical image segmentation task have ...
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