Search results for: 'software for clinical studi'

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...

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...

This study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...

Real-time location solutions (RTLS) provide accurate information on the location of materials, goods, assets, persons, or vehicles. The system includes tags, readers, and a software solution. This study covers different RTLS technologies that assets send radio signals to, such as wireless fidelity (Wi-Fi), RFID, ultra-wideband (UWB), Bluetooth Low ...

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...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...

LiDAR technology has dramatically transformed in the last decade, creating significant demand for small, affordable, reliable, and sustainable LiDAR sensors. The need for efficiency, accuracy, depth mapping, low-light imaging, and videography in automotive, industrial, infrastructure, and consumer electronics products has driven LiDAR adoption acro...

22 Oct 2024  |  Global  |  Technology Research

Top 10 Electronics Technologies in the Retail Industry

Innovation and Adoption of Advanced Electronics Will Enhance the Customer Buying Experience

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The retail industry has witnessed a fundamental shift from its conventional operations, mainly due to advancements in technologies, changing consumer preferences, and a high focus on enhanced efficiency. Advanced electronics technologies, such as AR/VR, IoT, and RFID, are increasingly being integrated into retail environments to enhance the shoppin...

30 Apr 2025  |  Global  |  Technology Research

Innovations in Silicon Photonics Impacting Data Centers and the Biomedical Sector

Harnessing Light to Power the Digital Age and Advance Medicine

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Silicon photonics is a rapidly growing field, continuously seeking innovative solutions to overcome the shortcomings of electronic integrated circuits (EICs), especially in data communication. In recent years, emerging technologies in this area have gained significant interest due to their potential to transform the field, creating promising opport...