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...

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...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to AI based platforms for Adaptive ADAS, Smart Home Charging System, Single-chip Lidar Laser Driver to Enhance Object Detection, EV charging solutions, teleportation based autonomous mobility platform, and urban transportation, among others.The purpose of the Mobility Te...

This study examines how automakers leverage voice AI and conversational AI to create personalized in-car experiences, focusing on OEM strategies, technology integration, and connected services.It profiles leading premium and mass-market automotive brands, analyzing their AI assistant strategies, technological capabilities, partnerships, and deploym...