Search results for: 'Fluid AND Power'

This issue of the Nanotechnology Opportunity Engine profiles significant advancements in nanotechnology for various enhanced industrial applications. The featured innovations include Upcycling Carbon Waste into Graphene and Graphitized Carbon, Microreactor Integrated with Machine Learning for Nanoparticle Synthesis, Nanostructured Superhydrophobic ...

This Frost Radar™ highlights seven start-ups actively engaged in testing and developing Level 4 autonomous trucks in the United States and Europe to alleviate driver shortages and reduce accidents while making truck transportation more efficient. The analysis includes an overview of each company’s product offerings, research and development endeav...

This research service identifies the major industry challenges, market drivers and restraints, and key trends in technology, pricing, and distribution for the North American submersible pumps market. This research service provides comprehensive forecasts for the North American submersible pumps market, across two product segmentsdry-pit submersibl...

This research service analyzes the impact of Connectivity, Autonomy, Shared Freight, and Electrification (CASE) on the commercial vehicle aftermarket, mainly in North American and European regions. Discussions in this study are specific to medium- and heavy-duty vehicles. The study discusses the various market trends, influencing factors, business ...

This study provides insights on the benefits of IP conferencing systems, as well as analyzes the potential for installed vs. tabletop systems.

29 Jul 2021  |  Global  |  Technology Research

Federated Learning: New Approach to Building AI Models

Leveraging Open Source Tools to Accelerate Technology Development across Organizations and Regions

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Traditional machine learning (ML) models are centralized and involve vast amounts of data. However, both the urgency to guarantee data privacy and to abide by strict regulations imposed across regions have contributed to the emergence of a new and powerful alternative technique, federated learning. Instead of acquiring data from a central server or...