Search results for: 'chip study'

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 Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to EV Battery Health Diagnostics, EV Charging, Single-chip LiDAR, and Mobility Platforms. Some of the innovations profiled include Automated Battery Replacement and Health Diagnostics for Electric Vehicles, Digital Business Management Platform for Truckers, Single-chip L...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to AI Powered Autonomous Driving, SDV, Charging, Chip Architecture, and ADAS.The purpose of the Mobility Technology TOE is to raise awareness of global technology innovations in self-propelled ground-based mobile platforms that are not only technically significant but p...

In this study, Frost & Sullivan analyzes the mobility innovation ecosystem by examining automotive and mobility-related patents across the connected, autonomous, shared, and electric (CASE) mobility dimensions.Some relevant details are as follows. • The scope covers North America, with a primary focus on the United States, due to the dep...

This study seeks to evaluate the current usage of the in-car marketplace and features on demand (FoD) services such as navigation and location-based features, integration and productivity, driving convenience solutions, remote services and maintenance, in-car personalization, entertainment, and performance and driving services in the United States....

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 study evaluates how global OEMs are repositioning themselves within the emerging robotaxi landscape by transitioning from traditional automakers into autonomy-enabled platform suppliers. It examines evolving OEM strategies, the rise of software-defined vehicle architectures, and the growing influence of AI and chip partners in shaping Level-4–...

BYD has evolved from a battery maker into the most dominant global EV player by building a vertically integrated ecosystem that few other automakers can match. Its strength lies in controlling every critical component of the EV value chain, especially batteries, semiconductors, and EV platforms, thereby keeping costs low and margins stable amid agg...