Search results for: 'computing device of automotive'

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...

AI maturity, implementation, and AI-enabled or AI-augmented operations are increasing year over year, moving from pilot to production. Because AI delivers the biggest business outcomes, it is a top outcome driver. The impact of AI can be seen in quality control and computer vision in smart manufacturing as well. AI-powered visual inspection transfo...

This Frost & Sullivan research service analyzes the global industrial automation market from 2020 to 2025, with 2020 as the base year. The deliverable offers an in-depth look at the dynamics influencing and challenging the growth of the industrial automation market and analyzes the process automation technology segments across process, discrete, an...

The Frost Radar™ on electronic computer-aided design (ECAD) offers a competitive benchmark analysis derived from Frost & Sullivan’s CAD Growth Opportunities report. It ranks nine companies on their growth potential and ability to innovate.Product design has become more complex in recent years, and manufacturing companies are demanding new tools and...

Additive manufacturing (AM) techniques have become more popular in the recent times due to its ability to enable low cost objects, leading to saving considerable amount of time, labor, and material. The advent of large-scale additive manufacturing techniques, has further led to the development of more advanced technologies such as big area additive...

This Frost & Sullivan analysis examines the technological and industrial landscape of sustainable manufacturing for flexible electronics. It reviews the top 10 technologies and trends, assessing their relevance, maturity, and potential to enable environmentally responsible, high-efficiency production. It explores how these technologies can reduce m...