Search results for: 'Edge Computing and the Future of Data Management'

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 analytics highlights quantum computing innovation in the automotive industry and the significance of integrating this technology in supply chain, materials research, vehicle design, vehicle testing, assembly, manufacturing, retail, after-sales, and vehicle-in-motion. Simulations integrated with quantum computing processors analyze multiple pre...

In this paper we will highlight the specific mega trends impacting the future of mobility, and define what Social Innovation can deliver to the transportation market. We will take a deep dive into the challenges and opportunities for Social Innovation in Transport and Mobility, as well as quantifying the relevant opportunities and their impact from...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...

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...

This report analyzes the transformation of the curbside management market. It delves into the market’s evolution, various system types, the current landscape, leading players, and the ecosystem reshaping urban mobility. Disruptive technologies, innovative business models, and global megatrends continue to impact the curbside market, promising enhan...

Cities are evolving toward a more sustainable and efficient model. A focus area is reducing carbon emissions by adopting renewable energy sources like solar and wind power and promoting electric vehicles. In addition, there is a shift toward pedestrian-friendly urban design, with wider sidewalks, bike lanes, and increased green spaces. Cities want ...

Fleet management applies mainly to leased and owned fleets, and service portfolios can include maintenance, repairs, fuel cards, and insurance. By centralizing all processes and transactions tied to corporate fleets, fleet management companies allow their clients to be more productive and plan for growth based on hard data and actionable insights o...