ADELPHI, Md. -- A new algorithm is enabling deep learning that is more collaborative and communication-efficient than traditional methods. Army researchers developed algorithms that facilitate ...

These algorithms have evolved from early theoretical constructs into practical solutions that underpin modern cloud infrastructures, the Internet of Things (IoT) and even machine learning deployments.

Traditional machine learning algorithms, dataframe operations like groupby-aggregations, joins, and timeseries manipulation. Data ingestion like CSV and JSON parsing. And array computing like ...

The newly-open sourced Distributed Machine Learning Toolkit features fast, parallelized, and easy-to-deploy machine learning algorithms Topics Spotlight: AI-ready data centers ...

The toolkit contains a framework for training models on multiple servers, a topic modeling algorithm, ... a distributed machine learning library. Jordan Novet @jordannovet. November 12, 2015 6:46 PM ...

Machine learning comes from the possibility to apply algorithms on raw data to acquire knowledge. 1 These algorithms are implemented to support decision making in different domains, including health ...

When LoRa meets distributed machine learning to optimize the network connectivity for green and intelligent transportation system Article Publication Date 18-Jun-2024 ...

A machine-learning algorithm demonstrated the capability to process data that exceeds a computer's available memory by identifying a massive data ... Distributed out-of-memory NMF on CPU/GPU ...