Search results for: 'computing paa2'

This research service analyzes the notable developments in the global quantum computing market. Quantum computing is a field of computing that leverages the principles of quantum mechanics to handle information using qubits. Qubits can be in a superposition of states, enabling quantum computers to do calculations at considerably greater speed than ...

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...

Edge computing pushes intelligence, data processing, analytics, and communication capabilities to where the data originates: at network gateways or endpoints. The aim is to reduce latency and ensure efficient networks, operations, service delivery, and an improved user experience. By bringing computing closer to the data source, edge computing enab...

Serverless computing solutions process and analyze large volumes of data at the edge of customer networks and help meet infrastructure requirements of Internet of Things networks. Serverless computing saves hardware and maintenance costs for customer enterprises and reduces latency. Larger businesses can limit or shrink the size of their server fle...

In the last decade, digital transformation initiatives have rapidly developed in the global defense market. The Western Armed forces had to accelerate digital footprint implementation and adopt the cloud IT infrastructure to handle, analyze, and store mass data on its various operational utilities. These initiatives are inevitable, particularly for...

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...

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...

Edge computing pushes intelligence, data processing, analytics, and communication capabilities to where the data originates: at network gateways or endpoints. The aim is to reduce latency and ensure efficient networks, operations, and service delivery, and an improved user experience. By bringing computing closer to the data source, edge computing ...