Search results for: 'model'

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 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...

3D ICs are redefining semiconductor innovation by enabling significant gains in performance, density, and energy efficiency. This report provides an executive view of how advances in vertical stacking, heterogeneous integration, chiplet-based design, and advanced packaging are reshaping design and manufacturing strategies across the industry. It hi...

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 ...

The Advanced Manufacturing Technology Opportunity Engine provides profiles of innovations related to cobot-enabled vacuum gripping technology supporting flexible pick-and-place automation across dynamic manufacturing environments; automated build-job depowdering systems improving metal additive manufacturing powder handling and post-processing effi...

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...

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...

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...

The energy transition is no longer driven solely by cleaner generation technologies; it is increasingly defined by the intelligence, resilience, and strategic control embedded within energy systems. As governments, utilities, infrastructure operators, and industrial stakeholders respond to rising electricity demand, supply chain volatility, and dec...