Search results for: 'computing system'

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 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 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...

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...

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 ...

Hybrid vision systems (HVS) are positioned to substantially impact perception-driven applications across a diverse array of sectors, including robotics, manufacturing, logistics, mobility, surveillance, and agriculture. By intricately combining the geographical precision of LiDAR with the semantic intelligence of advanced imaging systems, these inn...

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 provides profiles of innovations related to High-qubit Quantum Computing Platform, Energy-efficient and Scalable AI Accelerators, High-performance and Scalable Quantum Computers, Sustainable Tensor Processing Technology, Modular Quantum Computing Architecture, Turnkey High-performance Quantum Compu...

The Microelectronics Technology Opportunity Engine provides profiles of innovations related to High-qubit Quantum Computing Platform, Energy-efficient and Scalable AI Accelerators, High-performance and Scalable Quantum Computers, Sustainable Tensor Processing Technology, High Performance eFPGA and Advanced Optical DSP.The Microelectronics Technolog...