Search results for: 'streaming model'

Internet users are now watching more diversified video content generated by professional or general users in real time. With growing penetration rate of Internet and mobile devices, users and streamers find it easy to record, watch, and share video content and interact with each other online. The Live Video Streaming (LVS) platform provides a cha...

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 tracker provides quarterly updates for key segments in the North American consumer communications services market, including broadband, video, voice, and wireless. Highlights include growth in fiber-to-the-home (FTTH) connections, which drove strong net additions in broadband subscribers. CSPs focused their investments on widening their fiber ...

Building information modeling (BIM) digitizes the functional and physical aspects of the project in the construction sector, providing more visibility and easing the decision-making process in the entire lifecycle. Apart from 3D (width, height and depth) modeling, BIM also consists of other dimensions such as 4D (time), 5D (cost), 6D (Sustainabilit...

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...

Private multi-access edge computing (MEC) involves deploying dedicated computing and networking resources on a client's premises. It prioritizes ultra-low latency, data security, and customization, making it ideal for industrial automation, smart factories, and applications demanding real-time control and stringent data privacy. This segment of the...

Artificial intelligence subset generative AI (GenAI) refers to technologies capable of creating new content, such as text, images, code, audio, and video, by learning from existing data and models. For telecommunications service providers (telcos), GenAI presents transformative opportunities beyond network optimization and customer support. By depl...

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...