Search results for: 'data laser'

This Outlook assesses the automotive industry in five main ASEAN markets: Indonesia, Malaysia, the Philippines, Thailand, and Vietnam.The project covers passenger vehicles (PVs) and pickup trucks. Pickups are the most used and popular commercial vehicles (CVs) across different geographies and industries, including agriculture, in the region. Indone...

This Frost & Sullivan analysis outlines the strategic imperatives, growth drivers, and constraints influencing the rear-seat entertainment (RSE) ecosystem. Principal drivers include increasing consumer demand for premium in-cabin experiences, advancements in display technologies, and the expansion of 5G-enabled content ecosystems. Key restraints in...

The Economic Trend Opportunity Profiles (TOPs) series captures a structural shift in the global economy where national competitiveness is increasingly defined by control over AI capabilities, digital infrastructure, industrial capacity, and secure data ecosystems. Across AI-led productivity, smart manufacturing, digital risk, sovereign compute infr...

Unmanned underwater network (UUN) technology is evolving from standalone underwater systems into smart, artificial intelligence (AI)-driven, and connected subsea ecosystems that enable advanced autonomous operations across defense, oceanography, offshore energy, and climate monitoring applications. This report examines the global UUN technology mar...

This report examines how decentralized clinical trials (DCTs), enabled by blockchain, digital twins, and artificial intelligence, are reshaping global clinical research. It traces the shift from site-centric to patient-centric models and quantifies the growing scale, globalization, and complexity of clinical trials that make decentralization necess...

Multimodal sensor fusion is an advanced perception technology that combines data from multiple sensors, including cameras, LiDAR, radar, ultrasonic sensors, thermal cameras, and inertial measurement units (IMUs), to give robots and autonomous systems a more accurate, reliable, and comprehensive understanding of their environment. It overcomes the l...

Artificial intelligence is becoming increasingly relevant to antibody discovery and immunotherapy development, supporting target identification, de novo antibody design, antibody engineering, clinical intelligence, and bioprocessing. Advances in generative AI, protein language models, diffusion models, and structure-based models are expanding the u...

This edition of the Energy & Power Systems (EPS) TOE features information about the innovations in AEM electrolyzer technology, data center power delivery, alkaline electrolyzer, process heat electrification, LDES, tidal energy, superconducting energy storage, among others.The Energy and Power Systems TOE provide insights on the latest advances in ...

AI has been embedded in telecommunications for over a decade, initially through rule-based automation and early machine learning applied to network optimization, fraud detection, and customer analytics. Even before 5G, CSPs used AI to enable self-optimizing networks (SON), predictive maintenance, and customer experience management—leveraging large ...