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The Microelectronics Technology Opportunity Engine covers innovations pertaining to Advanced Chip Packaging, Edge AI Accelerators, GaN, 6G and Photonics. Some of the innovations profiled include Chips on Panel on Substrate Advanced Chip Packaging for Next-Gen AI Systems, Room-Temperature Printable Ink for Adaptive Electronics, GaN for Ultra-Fast 6G...

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...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to Microcontrollers, Low Power MCU’s, GaN and AI Interconnects.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...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to Growth Opportunities in GAA Transistors, AI Chips, 3D IC, CubeSat, GaN-on-Si, and Advanced ProcessorsThe Microelectronics Technology Opportunity Engine captures global electronics-related innovations and developments on a weekly basis. Developments are centered on e...

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...

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 Microelectronics Technology Opportunity Engine covers innovations pertaining to Silicon Photonics, GaN, Radar and Neuromorphic Edge AI.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 cost, s...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to SRAM, Multi-chip Architecture, LoRa and AI Accelerators. Some of the innovations profiled include 2nm Custom SRAM for AI & Cloud Infrastructure Applications, Modular Quantum System with Reduced Gate Error and Multi-Chip Architecture, Microcontroller Series with High...