As capital ratcheted up its assault on labor in the 1990s and Democrats embraced a neoliberal agenda, some labor unions ...

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 ...

PyTorch also offers strong support for GPU acceleration, distributed training, and mobile deployment. Dataiku is a leading AI and machine learning platform that enables organizations to build and ...

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 ...

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 ...

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