The National Intellectual Property Administration has disclosed that Snap Inc. applied for a patent titled "Distributed Loading and Training of Machine Learning Models" in February 2024, with the ...
“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
In Conversation With Ramkinker Singh: Engineering Excellence in Cloud Security & Distributed Systems
The landscape of cybersecurity and cloud infrastructure continues to evolve at an unprecedented pace, with organizations worldwide seeking robust, scalable solutions to protect their digital assets.
Hosted on MSN
Renewable Energy with AI: Venkata Narasareddy Annapareddy’s Advocates Distributed Smart Grid Architectures
Climate volatility and rising energy demand have resulted in unprecedented challenges throughout the world. Unfortunately, however, the existing centralized grid infrastructure is no longer capable of ...
Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset. Neural architecture search is the task of ...
Big data for health care is one of the potential solutions to deal with the numerous challenges of health care, such as rising cost, aging population, precision medicine, universal health coverage, ...
AiRANACULUS®, a private, Massachusetts-based technology company providing Artificial Intelligence (AI), and Machine Learning (ML) based wireless network solutions, has been awarded a NASA contract to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results