Search results for: 'computing pla4'

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...

Quantum computing has entered a critical transition phase, moving from R&D experimentation toward early commercialization. This report examines what this supercritical period means for the global quantum computing landscape between 2025 and 2030 and the implications for enabling technological development across hardware, software, and cloud deploym...

Frost & Sullivan's annual survey of IT and business decision-makers, now in its 16th year, aims to understand their perceptions, decisions, and purchasing behaviors. In 2024, Frost & Sullivan introduced a new set of questions focused on multi-access edge computing (MEC) to the yearly survey, and in 2025, it is possible to contrast results for 2024 ...

This edition of the IT, Computing and Communication Technology Opportunity Engine explores growth opportunities across Quantum Computing Systems, AI Cloud Platforms, Orbital Data Centers, Sovereign AI, Multimodal AI Agents, AI-powered Event Platforms, Cloud Infrastructure Platforms, Field Foundation Models, and Legal and Professional Services Workf...

This edition of the ITCC Technology Opportunity Engine captures developments related to AI Observability, Enterprise AI Data Integration, Geospatial Estimator Platform, Edge AI-Driven IoT Platform, AIIoT & Edge Platform, AI-Optimized Edge Processing, Cloud-Native Infrastructure Management, Blockchain Payment, Quantum-Classical Hybrid Computing Plat...

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 ...

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...