Search results for: 'train of use'

28 Sep 2015  |  Global  |  Market Research

Enforcing the Law Using Biometrics

AFIS’ Dominance Continues as Emerging Modalities are Expected to Gain Traction

Infographics

×

This research service analyzes the global trends in the adoption of biometrics in law enforcement. Increased preference for safety and security, especially in growing economies, is expected to have a positive impact on the demand for biometrics in law enforcement. The study analyzes the challenges and factors that are likely to drive the market gro...

This deliverable analyzes growth opportunities for electronic manufacturing services (EMS) providers in the industrial automation field with respect to the future of smart factories and robotics. The scope of the study includes market drivers and restraints, pricing trends, and growth trends for EMS providers in industrial automation. It evaluates ...

Consumer robots have been experiencing significant technology enhancements in the recent years. Robots are destined to play a vital role in transforming everyday lives of humans. Consumer robots can be classified into four main types: • Personal and Educational • Security and Surveillance • Social and Home • Domestic and Tasks These robo...

LiDAR is an optical remote sensing and imaging technology that utilizes non-visible light to map the ground surface and objects present on the surface of the Earth. It simultaneously captures millions of measurements of depth information in all directions and then creates high-resolution maps. The need for adapting LiDAR technologies in consumer...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to memory systems such as DRAM, MRAM, and other memory technologies for improved performance, advancements in materials enabling next generation chipsets, 3.5D System-in-Package Platform For Enhanced AI Training, GaN Device for Improved Motor Energy Efficiency and Low-...

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

The study evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical I/O chiplets, co-packaged optics...

The study evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical I/O chiplets, co-packaged optics...

The escalating compute and power demands of edge AI are exposing the limits of conventional von Neumann architectures. Manufacturers deploying always-on sensing, real-time inference, and autonomous decision-making at the edge are constrained by the energy, latency, and memory-bandwidth ceilings of standard NPUs and MCUs. Traditionally, edge AI work...