Search results for: 'application enablement platform iot'

Advancements in technologies that improve navigation and object detection, communication between vehicles and infrastructure, image processing algorithms, data analytics, and machine vision have created opportunities for automotive manufacturers to discover a wide range of solutions for the automotive IoT arena. Enhanced safety and cost-effectivene...

Energy harvesting sensor solutions are emerging as a foundational layer for large-scale ambient IoT, enabling autonomous, battery-free sensing across distributed and infrastructure-intensive environments. By converting ambient energy sources such as light, heat, vibration, and RF into usable power, these sensors eliminate the need for wired power a...

Advanced edge AI sensors solutions are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including consumer electronics, manufacturing, automotive, and agriculture. Continuous advancements in sensor hardware and AI-based decision-making are reshaping the c...

Advancements in sensor technologies have facilitated the emergence of connected living. The development of sensors that detect multiple parameters enables the Internet of Things (IoT), which is communication between devices. However, sensors as a standalone device would not be able to play a vital role in the IoT space as only partial data would re...

This study focuses on heterogeneous computing architectures for automotive and robotics applications, examining how centralized and zonal compute architectures, heterogeneous SoCs integrating CPUs, GPUs, NPUs, DSPs, FPGAs, and dedicated safety islands, as well as robotics edge-AI controllers and mixed-criticality computing platforms, are enabling t...

Sensors are vital enablers of the Internet of Things (IoT), allowing a plethora of automated, connected devices that provide continuous feedback about their and can be remotely controlled. Sensors that are able to perform some processing and analysis on a wealth of data to provide the most important information with respect to their surroundings or...

The rapid expansion of Internet of Things (IoT) ecosystems has intensified the demand for uninterrupted, autonomous sensing solutions that can operate without reliance on conventional batteries. This research study investigates the evolving landscape of self-powered sensors as a foundational technology for next-generation, batteryless IoT—particula...

20 Sep 2023  |  Global  |  Technology Research

Edge AI Accelerators—Emerging Opportunity Analysis

Expanding IoT Applications Drive Growth

Infographics

×

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 October 2025 edition of the CST Technology Opportunity Engine highlights transformative innovations shaping the future of edge computing. The study explores the evolution of decentralized data processing models that enable ultra-low latency, localized intelligence, and real-time decision-making across industries.Driven by the convergence of IoT...