Search results for: 'application marking of emerging battery technologies'

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...

22 Jan 2025  |  Global  |  Technology Research

Medical Spectral Imaging: Assessment of Technology Trends and Growth Opportunities

Artificial intelligence, system miniaturization, and sensor innovation to drive transformational growth

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Medical spectral imaging is an advanced imaging technique that integrates spectroscopy with photography to capture the reflectance spectrum of tissues, facilitating a range of applications from tissue analysis to surgical guidance. This non-invasive approach provides real-time data and detailed insights, enhancing decision-making accuracy in diseas...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to Sub-1 Nm Chip technology, MMIC, SOC, Photonic Chiplet, GaN and Power Electronics among others.The Microelectronics Technology Opportunity Engine captures global electronics-related innovations and developments on a weekly basis. Developments are centered on electron...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to SiC Power Modules, AI SoCs, GaN, Edge AI and Photonics among others.The Microelectronics Technology Opportunity Engine captures global electronics-related innovations and developments on a weekly basis. Developments are centered on electronics attributed by low po...

Transistors are the fundamental electronic components present in any device. They have evolved over a period of 30 years in size and performance. Their capability to act as a switch or amplify current or voltage has enabled them to serve diverse applications ranging from logic gates in the computer processors to sound amplifiers. Research and devel...

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...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to Chiplet Architecture, AI Computation, SoC, and Flexible ICs.The Microelectronics Technology Opportunity Engine captures global electronics-related innovations and developments on a weekly basis. Developments are centered on electronics attributed by low power and co...

Apple Inc’s integration of VCSELs into smartphones for 3D sensing applications has triggered R&D activities and demand for the technology amongst its competitors. The technology showcases high adoption potential across various industries such as consumer electronics and automotive in the long term. VCSELs hold potential to disrupt existing illumina...

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...