Search results for: 'knowledge drive intelligent tools'

The Advanced Manufacturing Technology Opportunity Engine provides profiles of innovations related to near-infrared in-situ quality assurance technologies enabling real-time monitoring and defect detection during metal additive manufacturing; AI-driven multi-sensor monitoring systems integrating process data to improve additive manufacturing quality...

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...

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...

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...

The escalating compute and power demands of edge AI are exposing the limits of conventional von Neumann architectures. Manufacturers deploying always-on sensing, real-time inference, and autonomous decision-making at the edge are constrained by the energy, latency, and memory-bandwidth ceilings of standard NPUs and MCUs. Traditionally, edge AI work...

The Advanced Manufacturing Technology Opportunity Engine highlights a diverse set of advanced robotics and additive manufacturing innovations shaping next-generation industrial and autonomous systems. It features a hybrid wheeled-humanoid robot enabling agile, multi-modal mobility across complex terrains, alongside mobile robotic welding systems de...

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...

Micro-sensors are no longer just components that capture data—they are becoming the intelligence behind connected products and autonomous systems. As industries demand faster decisions, greater reliability, and continuous monitoring, sensing platforms are evolving by combining embedded AI, advanced materials, low-power design, and connected archite...

The study examines the global industrial control systems market, structured around three core technology segments: distributed control systems (DCS), programmable logic controllers (PLCs), and SCADA. Using 2025 as the base year, the research provides market sizing and a seven-year forecast by region, industry vertical, and offering type, including ...