Search results for: 'application enablement platform'

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...

LiDAR technology has dramatically transformed in the last decade, creating significant demand for small, affordable, reliable, and sustainable LiDAR sensors. The need for efficiency, accuracy, depth mapping, low-light imaging, and videography in automotive, industrial, infrastructure, and consumer electronics products has driven LiDAR adoption acro...

The October 2025 edition of the CST Technology Opportunity Engine highlights transformative innovations shaping the future of edge computing. The study explores the evolution of decentralized data processing models that enable ultra-low latency, localized intelligence, and real-time decision-making across industries.Driven by the convergence of IoT...

08 Apr 2025  |  Global  |  Technology Research

Technological Advances in Photonic Sensing Impacting the Healthcare and Manufacturing Sectors

Harnessing the Power of Light: Photonic Sensing for Advanced Healthcare and Manufacturing Solutions

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Photonic sensing has become a disruptive force in a few sectors, most notably industry and healthcare. Photonic sensors provide groundbreaking advances that enhance precision, performance, and reliability in critical applications by utilizing the unique properties of light for detection, measurement, and imaging. Photonic sensing is revolutionizing...

Advanced edge AI sensors solutions are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including consumer electronics, manufacturing, automotive, and agriculture. Continuous advancements in sensor hardware and AI-based decision-making are reshaping the c...

The semiconductor industry is approaching the physical and economic limits of traditional lithography, driving the emergence of next-generation patterning technologies essential for scaling beyond 3 nm and into the sub-2 nm era. This report explores the technological evolution, ecosystem enablers, and strategic implications of next-gen lithography,...

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...

The eCommerce and logistics industries are entering a period of accelerated transformation driven by the need for higher throughput, improved accuracy, and real-time operational intelligence. Emerging sensor technologies are becoming essential to support this shift as fulfillment centers, transport networks, and last-mile operations manage rising c...

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...