Search results for: 'experimental design'

The demand for chips has experienced exponential growth in recent decades. Presently, the importance of these key hardware components is even higher due to increasing workload demands from innovations like generative artificial intelligence (AI) and machine learning (ML), which are also driving up energy consumption and costs. However, pandemic-ind...

This SPIE describes the Design & Assign function, including the current service provider state of the art, drivers for an increased focus on this functional area, challenges to Design and Assign implementation, and vendor offerings. Included are findings from interviews with solutions integrators, service providers, and vendors about this topic.

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...

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...

Artificial intelligence (AI) has the potential to deliver substantial benefits to businesses, economies, and societies. As organizations shift AI technology implementation from the proof-of-concept stage to enterprise deployment, employing an enterprise-wide strategy and roadmap is crucial to prevent project-derailing challenges, cost overruns, an...

The additive manufacturing sector has seen significant growth in recent years owing to growing demand for customized products and complex geometries in various sectors, including automotive, defense, aerospace, consumer electronics, manufacturing, and energy. AI has a wide range of applications in additive manufacturing at various levels and is a k...

As enterprise adoption of AI enters a more demanding phase, the source of competitive advantage is shifting. In 2026, success is no longer determined by access to advanced models or the scale of experimentation, but by an organization’s ability to operationalize AI reliably within core workflows. This report examines how AI applications and use cas...

AI infrastructure is rapidly evolving from stand-alone compute environments to vertically integrated AI platforms that combine compute, networking, storage, cloud software, orchestration, security, and intelligent data management. Platform-centric architectures are becoming essential to support scalable AI training, inference, and agentic AI worklo...

Internet of things (IoT) professional and managed services have evolved from discretionary add-ons into core enterprise priorities as organizations shift their focus from technology acquisition to measurable business outcomes. Frost & Sullivan defines IoT professional services as encompassing IoT consulting, solution design, and deployment. IoT man...