Search results for: 'learning devices'

IIoT (Industrial Internet-of-Things), came into reality during the advent of Industry 4.0. The technology provided immense data communications and connectivity between all devices. The fourth industrial revolution changed the whole manufacturing spectrum. The technology helped manufacturers to tremendously increase their efficiency and productivity...

This Frost & Sullivan analysis examines the technological and industrial landscape of sustainable manufacturing for flexible electronics. It reviews the top 10 technologies and trends, assessing their relevance, maturity, and potential to enable environmentally responsible, high-efficiency production. It explores how these technologies can reduce m...

21 Dec 2021  |  Global  |  Market Research

Growth Opportunities for 5G in Process Industries

Integrated Digital Technologies and Internet of Things Connections Drive Smart Manufacturing Transformation

Infographics

×

Key Issues Addressed

The organizational and economic benefits of industrial digitization are increasingly clear and quantifiable. In addition, the falling prices of technologies such as machine learning, deep learning, edge computing, and big data analytics encourage transformation towards innovative business models where large amounts of interconnected devices are req...

•The need for robotic exoskeletons is driven by the need to eliminate worker injuries, to help disabled individuals walk by providing lower-limb support, and to reduce factory-related fatalities. Robotic exoskeletons are motorized wearable robots that provide superhuman strength to workers, thereby enabling them to lift heavy equipment in applicati...

Manufacturing companies are constantly looking for new ways to streamline their operations, increase the productivity and profitability of operations. They now seek to optimize one of their own most valuable assets—data. New data grows exponentially because of the increase in the level of networking and connectivity among people and machines/device...

The Advanced Manufacturing Technology Opportunity Engine provides profiles of innovations related to simulation-trained contact skills enabling industrial robots to perform complex physical interactions and manipulation tasks; hybrid laser-DLP 3D printing systems combining additive technologies for high-speed photopolymer manufacturing; industrial ...

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...

Collaborative robotics is entering a new phase as advances in artificial intelligence, multimodal perception, force and tactile sensing, adaptive control, and robot learning enable cobots to move beyond fixed, pre-programmed tasks toward more context-aware and responsive automation. This Frost Radar™ evaluates 11 companies that are shaping the emer...

07 Oct 2025  |  Global  |  Market Research

Industrial Hybrid AI Market, Global, 2024–2029

Industrial Hybrid AI Market is Experiencing Transformational Growth due to the Urgency for Adaptive Intelligence in Critical Decision-Making

Infographics

×

Hybrid AI is an integrative approach reshaping how AI is applied to mission-critical applications. Its potential lies in addressing the critical limitations of current AI solutions, with key market drivers including enhanced interpretability and explainability, greater application flexibility, and improved scalability and efficiency. Strong growth ...