Search results for: 'system on models soc'

Traditional training environments face patient safety risks, resource constraints, and limited exposure to rare event scenarios. Additionally, physical simulations are costly, limiting accessibility (especially in resource-constrained settings). Current simulation models lack personalization, resulting in operational complexity for hospitals due to...

This research service provides a study of the ICT technologies adopted by the automotive industry, including, wireless technologies, sensing technologies, and computational technologies that enable the creation of intelligent applications geared toward providing a cheaper, safer, automated, quicker and more sustainable transportation system. The ad...

In 2024, enterprises pressed ahead with their digital transformation journeys amid rising complexity in technology landscapes and the emergence of generative AI (GenAI). While GenAI offers transformative potential across industries, verticals, and functional areas, it demands robust cloud and data foundations, driving increased reliance on global s...

This Frost Radar examines advanced driver assistance systems (ADAS), ADAS AI, and next-stage autonomous-driving technologies as a fast-evolving domain reshaping mobility and safety. As automakers, Tier I suppliers, chipmakers, AI software developers, and autonomous mobility companies improve perception, prediction, planning, validation, and vehicle...

Multi-agent systems (MAS) for workflow automation are transforming enterprise operations by enabling multiple autonomous AI agents to collaborate, coordinate, and execute complex business processes across organizational functions. This report examines the global multi-agent workflow automation market between 2026 and 2030, focusing on advancements ...

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...

With air travel becoming more commoditized and airlines looking to optimize costs and resources, IT systems in aviation has become a critical component in airline business models. From passenger experience to maintaining the airlines, IT systems are being used to perform critical functions, track and maintain data, and provide analytics for better ...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) captures developments related to Artificial intelligence, Augmented Reality, Virtual Reality, Generative AI, Machine Learning Models, and Robotics Process Automation. These technologies empower users to devote their efforts to higher-value activities by auto...

As digitization progresses across industries, AI is gaining a ubiquitous adoption as more and more business processes are being automated. With this, the expectations from AI in terms of what applications can be realized using AI is also expanding, and thus a more complex set of neural networks have been introduced which are expected to leverage ad...