A new communication-collective system, OptiReduce, speeds up AI and machine learning training across multiple cloud servers by setting time boundaries rather than waiting for every server to catch up, ...

A new "smart insole" system might make that possible, helping spot early signs of dementia, orthopedic injuries and other ...

Mohammad Adnan's 2025 Global Recognition Award honors his contributions to artificial intelligence and Amazon Web Services ...

Aditya Bhatia, Principal Software Engineer, received the 2025 Global Recognition Award for his groundbreaking work in ...

Abstract: Geo-distributed machine learning (GDML) can facilitate collaborative learning among geographically-dispersed data centers to meet the demands of distributed and privacy-preserving training ...

In contrast, short-term holders have distributed over 300,000 BTC, driven by a mix of profit-taking and capitulation. This imbalance indicates that long-term holders are accumulating more BTC than ...

Abstract: Hierarchical federated learning (HFL) is a privacy-preserving distributed machine learning framework with a client-edge-cloud hierarchy, where multiple edge servers perform partial model ...

We have provided information and resources that will help you when filing your U.S. Tax Return for 2024. These resources include basic tax information, information about the International Student and ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and other interesting stuffs).

It offers: A standardized interface to increase reproducibility Reduces boilerplate Automatic accumulation over batches Metrics optimized for distributed-training Automatic synchronization between ...