Search results for: 'virtual k2aa application acceleration a ba08'

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...

09 Jul 2021  |  Global  |  Market Research

Global Automotive Virtual Reality Growth Opportunities

Premium Automakers Will Implement VR in Vehicles First; Operational, Functional, and Safety Related Constraints Will Challenge Adoption in the Future

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Virtual Reality (VR) is an advanced immersive technology used in industries, such as healthcare, gaming, smartphone, and manufacturing, for a wide range of use cases to enhance user productivity and to provide high-definition entertainment services. The automotive industry has been experimenting with VR in manufacturing facilities and dealer showro...

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...

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 development prospects that artificial intelligence (AI) offers the commercial vehicle (CV) industry, focusing on both the revolutionary potential of AI and the difficulties businesses face in fostering growth, including complicated regulations, high capital expenditure, and challenges in incorporating new technology into pre...

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...

Video telematics solutions are poised to become the norm amongst enterprise fleets in the initial phase, owing to reduced vehicle claims, efficient driver exoneration, and higher realized return on investment. Medium and heavy-duty commercial vehicles for long-haul vehicle operations are primarily poised to be early adopters of video telematics, gi...

The global two-wheeler (2W) market is set for steady growth in 2025, fueled by economic recovery, technological innovation, and shifting consumer preferences. As the push for sustainable mobility gains momentum, the market is undergoing a notable transformation—electric two-wheelers (e2Ws) are rapidly gaining popularity, especially in urban hubs ac...

Chiplet-based compute architectures for vehicles are entering a new phase, reshaping SDV hardware roadmaps by enabling modular multi-die platforms that scale performance, improve yield, and accelerate refresh cycles while meeting long lifecycles, safety, and cybersecurity requirements. This Frost & Sullivan study examines how automakers, Tier 1s, s...