Search results for: 'Beyond ChatGPT: Understanding the Impact of Large Language Model Driven Generative AI'

Generative AI (Gen AI) continues to create an impact across industries including automotive. In the next decade, Gen AI is expected to significantly influence automotive value chains, increase efficiency, productivity, and reduce wastes. In the supply chain, it will be used to optimize inventory and demand forecasting while in product development i...

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...

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...

The United States has levied 25% tariffs on imports from Mexico and Canada—2 markets closely connected to the US auto market. Most brands in the United States depend on Mexico and Canada for sourcing and production. Coupled with retaliatory tariffs, near-term impacts to North American volumes and inflation can be sizable. Firms should prioritize re...

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...

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...

This Frost Radar™ benchmarks the leading companies in the AI-powered in-car assistant market. They are spearheading the development of advanced conversational, personalized, and context-aware in-vehicle experiences for original equipment manufacturers and Tier I suppliers. The analysis included a review of each company's AI assistant portfolio, res...

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...

Hybrid vision systems (HVS) are positioned to substantially impact perception-driven applications across a diverse array of sectors, including robotics, manufacturing, logistics, mobility, surveillance, and agriculture. By intricately combining the geographical precision of LiDAR with the semantic intelligence of advanced imaging systems, these inn...