Search results for: 'computing paa2'

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...

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...

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...

The Economic Trend Opportunity Profiles (TOPs) series captures a structural shift in the global economy where national competitiveness is increasingly defined by control over AI capabilities, digital infrastructure, industrial capacity, and secure data ecosystems. Across AI-led productivity, smart manufacturing, digital risk, sovereign compute infr...

3D ICs are redefining semiconductor innovation by enabling significant gains in performance, density, and energy efficiency. This report provides an executive view of how advances in vertical stacking, heterogeneous integration, chiplet-based design, and advanced packaging are reshaping design and manufacturing strategies across the industry. It hi...

The Future of the United States explores the transformative trends shaping national competitiveness, economic resilience, and technological leadership through 2035. US energy policy is reinforcing fossil fuel expansion while navigating the growth of renewables, addressing increasing electricity demand from AI-intensive industries, and modernizing t...

The study examines the global industrial control systems market, structured around three core technology segments: distributed control systems (DCS), programmable logic controllers (PLCs), and SCADA. Using 2025 as the base year, the research provides market sizing and a seven-year forecast by region, industry vertical, and offering type, including ...