Search results for: 'software energy ai dosag analyst'

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 Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Air Taxi, Electric Vehicles, Autonomous Mobility, Radar and Diesel Engines. Some of the innovations profiled include Autonomous Electric Air Taxi for Urban Air Mobility, Advanced 3D Mapping and Object Detection System for Autonomous Vehicles, Intelligent Operating Sys...

This study focuses on how next-generation chiplet architectures, high-bandwidth memory (HBM), and advanced packaging technologies such as 2.5D/3D integration and fan-out wafer-level packaging are enabling the next wave of AI and high-performance computing (HPC) system architectures, rather than providing a broad packaging market overview. It analyz...

The additive manufacturing sector has seen significant growth in recent years owing to growing demand for customized products and complex geometries in various sectors, including automotive, defense, aerospace, consumer electronics, manufacturing, and energy. AI has a wide range of applications in additive manufacturing at various levels and is a k...

This Frost Radar examines advanced driver assistance systems (ADAS), ADAS AI, and next-stage autonomous-driving technologies as a fast-evolving domain reshaping mobility and safety. As automakers, Tier I suppliers, chipmakers, AI software developers, and autonomous mobility companies improve perception, prediction, planning, validation, and vehicle...

The global passenger vehicle hands-free driving market is transitioning toward broader commercialization, driven by software-defined vehicle (SDV) architectures, AI-native perception, centralized compute platforms, and lower sensor and compute costs. The market is forecast to soar from $8.9 billion in 2025 to $37.45 billion by 2032, with Level 2+ s...

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 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 next generation in-vehicle infotainment requires centralized, high-performance computing and dependent on enhanced mobile broadband for high-definition video, massive machine-type communications for multidevice connectivity, and ultrareliable and low-latency communications for real-time interactivity. Video streaming technology for the in-cabin...