Abstract: Geo-Distributed Machine Learning (GDML) aims to train large-scale machine learning models across geographically dispersed datacenters. However, the performance of GDML systems is constrained ...

Abstract: Machine learning (ML) tasks are becoming ubiquitous in today's network applications. Federated learning has emerged recently as a technique for training ML models at the network edge by ...

A new study has succeeded in mapping, on a global scale, the fungal network that supports plant life and helps regulate our ...

The Distributed ECU Health Monitoring System is an embedded systems and machine learning project that simulates multiple automotive Electronic Control Units (ECUs), telemetry communication, predictive ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...

Bitget, the world’s largest Universal Exchange (UEX), announced the addition of Nesa (NES) for spot trading in the AI zone.

Warm water from the deep Southern Ocean has been steadily creeping closer to Antarctica’s ice shelves over the past four ...

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

As workers remain concerned about AI replacing jobs, employers are simultaneously creating remote jobs for workers who know ...

AI models heat vulnerability across LA & San Bernardino counties. Nonprofit Conservly has distributed 200 heat kits to ...