Search results for: 'learning system'

The need for adapting Microelectromechanical Systems (MEMS) technologies is rooted in the requirement to enable high and faster on-chip data processing needs across all industries. MEMS technology has drastically evolved over the years with a high need for miniature smart sensors with high efficiency. The key factors that are driving the MEMS tech...

Robot-assisted surgery offers significant promise in driving down treatment costs and addressing the healthcare industry’s increasing burden of lifestyle-related diseases and demand for affordable care. Next-generation surgical robotics technology and surgical navigation systems complement and extend surgeons’ ability to minimize surgical variabili...

Computed tomography, X-ray radiography, and magnetic resonance imaging have been invaluable tools in disease diagnosis and treatment efficacy assessments, but the practice of manual viewing and grading medical images to identify abnormalities is time-consuming and can delay diagnosis for critical patients. Intelligent imaging analysis systems that...

As intrusions employ a wide variety of attack vectors and methods, companies have to seriously consider continuous security monitoring, which provides real-time visibility of users and their devices when they attempt to connect to or work on an enterprise network. Security monitoring gives companies the ability to constantly look over their network...

09 Feb 2022  |  Global  |  Frost Radar

Frost Radar™: Downstream Global Navigation Satellite System Services, 2021

A Benchmarking System to Spark Companies to Action - Innovation that Fuels New Deal Flow and Growth Pipelines

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As the world moves toward automation and digitization, established and emerging industries will rely on geolocation. Accurate positioning, timing, and synchronization capabilities, for example, would reduce the cost of setting up new 5G network infrastructure and enable different location-based services and applications. High-accuracy downstream...

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...

HVAC systems have been witnessing a major transformation with the inclusion of novel technologies, including IoT and artificial intelligence/machine learning. These technologies offer various benefits and improvements for legacy HVAC systems, such as improved efficiency, remote monitoring and control, energy savings, and reduced carbon emissions. ...

This Frost & Sullivan study examines the current state of the global commercial unmanned aerial system infrared technologies, highlighting the main drivers contributing to growth, restraints, trends, challenges, and main growth opportunities. In 2022 the total market generated about $225.9 million in revenue. The most relevant applications of co...

This Frost Radar for the laboratory information management systems (LIMS) industry benchmarks providers offering workflow management and paperless tracking capabilities to help improve process efficiencies for life sciences companies. LIMS have several functionalities, such as obtaining, storing, managing, retrieving, and recording laboratory data...