Covered topics include (1) an introduction to privacy of patient data and distributed learning as a potential solution to preserving these data, a description of the legal context for patient data ...

Uber AI has open-sourced Fiber, a new library which aims to empower users in implementing large-scale machine learning computation on computer clusters. The main objectives of the library are to lever ...

Artificial intelligence (AI) and machine learning (ML) are disrupting every industry. Their impacts and integrations will only continue to grow. And ultimately, the future of AI is in distributed ...

ADELPHI, Md.-- Army researchers discovered a way to quickly get information to Soldiers in combat using new machine learning techniques. The algorithms will play a significant role in enhancing ...

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

The implications of this research are profound for urban planners and policymakers. By integrating LoRa technology with distributed machine learning, the network connectivity of green intelligent ...

The more data the machine is exposed to, the better it becomes at performing the task, which is why machine learning is often used for complex problems such as image recognition, natural language ...

Covered topics include (1) an introduction to privacy of patient data and distributed learning as a potential solution to preserving these data, a description of the legal context for patient data ...