Search results for: 'eg ai solution'

The advancement of physical and embodied AI is facilitating a shift away from traditional repeatable-motion automation toward robots that can perceive, make decisions, and act in unpredictable real-world conditions. This will enable highly dexterous manipulation that exceeds conventional pick-and-place automation. As learning-based policies, founda...

The Advanced Manufacturing Technology Opportunity Engine highlights a broad spectrum of innovations across humanoid robotics, intelligent automation, advanced manufacturing, and AI-driven production technologies. It features scalable interactive humanoid robots designed to accelerate the commercialization of service robotics, alongside intelligent ...

AI maturity, implementation, and AI-enabled or AI-augmented operations are increasing year over year, moving from pilot to production. Because AI delivers the biggest business outcomes, it is a top outcome driver. The impact of AI can be seen in quality control and computer vision in smart manufacturing as well. AI-powered visual inspection transfo...

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...

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...

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...

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...

Artificial intelligence is a core transformation lever across industrial design and engineering. Product complexity, shorter development cycles, and the need for mass customization are overwhelming traditional workflows, making AI-enabled design, engineering, simulation, and decision-making support key for competitiveness. AI-based tools, such as g...

The Advanced Manufacturing Technology Opportunity Engine provides profiles of innovations related to autonomous mobile robots (AMRs) enabling pallet and trolley transportation across dynamic intralogistics environments; compact 6-axis robotic systems supporting modular and flexible laboratory automation; autonomous agricultural unmanned ground vehi...