Search results for: 'Radar Support Frost Radar: Low-Code Application Platforms'

The Microelectronics Technology Opportunity Engine provides profiles of innovations related to high-performance FPGA-based system-on-module (SoM), mobile processors for consumers, MPS-based SiC diodes for industrial applications, FPGA for Edge applications, and enhanced AI processors for IoT applications.The Microelectronics Technology Opportunity ...

Report includes analysis of the World CCTV-based applications market. Analysis presented by leading applications, which is security and non-security. Includes sub-segments such as access Control, public area surveillance, niche security, other non-security applications. Also includes drivers, restraints, challenges, revenue forecasts, market share ...

20 Sep 2023  |  Global  |  Technology Research

Edge AI Accelerators—Emerging Opportunity Analysis

Expanding IoT Applications Drive Growth

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Specialized edge AI hardware that enables quick deep learning on-device has become essential due to the rising need for real-time deep learning workloads. Additionally, a cloud-based AI method cannot ensure data privacy, low latency, or offer high bandwidth. As a result, many AI workloads are shifting to the edge, increasing the demand for speciali...

The Microelectronics Technology Opportunity Engine provides profiles of innovations related to Programmable USB Peripheral Controller, 40G UCIe IP Solution for High-performance Multi-die Designs, Smart Bluetooth Low Energy (BLE) Universal Serial Bus (USB) Dongle and Durable Ferroelectric Transistors.The Microelectronics Technology Opportunity Engin...

The semiconductor industry is approaching the physical and economic limits of traditional lithography, driving the emergence of next-generation patterning technologies essential for scaling beyond 3 nm and into the sub-2 nm era. This report explores the technological evolution, ecosystem enablers, and strategic implications of next-gen lithography,...

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...

Opportunities for chemical, biological, radiological, nuclear, and explosive (CBRNE) threat agent detection systems are being largely driven by increasing threats of terrorist attacks. Chemical threats involve use of harmful and toxic industrial chemicals or materials and release of poisonous gases. Biological threats include premeditated attacks b...

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 ...

Most production organizations once viewed test systems as non-productive assets. If not for the need for quality, verification, and validation, test system manufacturers may not have been as successful as they are. The semiconductor ATE market emerged because of the increasing need for safe and reliable products that comply with regulations and sta...