Search results for: 'Rise of Generative Artificial Intelligence (AI) in Manufacturing'

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...

Advanced edge AI sensors solutions are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including consumer electronics, manufacturing, automotive, and agriculture. Continuous advancements in sensor hardware and AI-based decision-making are reshaping the c...

12 Mar 2025  |  Global  |  Technology Research

Emerging Semiconductor Technologies in the Manufacturing Industry

Innovative Materials and Chips Transforming Smart Manufacturing

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The semiconductor industry is pivotal to enabling next-generation technologies, such as quantum computing, AI, and machine learning (ML) accelerators, transforming manufacturing processes. Quantum chips are being explored for their potential to solve complex optimization problems, while AI and ML accelerators are enabling faster data processing and...

20 Sep 2023  |  Global  |  Technology Research

Edge AI Accelerators—Emerging Opportunity Analysis

Expanding IoT Applications Drive Growth

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Specialized edge AI hardware that enables quick deep learning on-device has become essential due to the rising need for real-time deep learning workloads. Additionally, a cloud-based AI method cannot ensure data privacy, low latency, or offer high bandwidth. As a result, many AI workloads are shifting to the edge, increasing the demand for speciali...

The proliferation of internet of things applications, such as smart manufacturing and smart transportation, has resulted in the explosion of artificial intelligence (AI) and big data. These applications heavily rely on complex AI and machine learning algorithms, requiring computational solutions to handle varying workloads. Power-intensive, costly,...

27 Apr 2020  |  Global  |  Market Research

Growth Opportunities for Memory, Power, and Artificial Intelligence (AI) Semiconductors in 5G, Forecast to 2025

Implementation of Discrete AI Processors at the Edge, Improved Memory Density to Support Low-latency Data Transmission, and High-performance Power Amplifiers (PAs) Enable Accelerated Growth in the Adoption of 5G Connected Devices

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Key Issues Addressed

The 5G wireless communication technology is designed to operate in sub-6 GHz and mmWave frequency ranges with a bandwidth of 100 MHz, data rates in Gbps, with connection reliability of 99.99Percentage to 99.9999Percentage, and latency in the sub-5 millisecond range. Compared to 4G, these performance goals had multiplied several fold in 5G to improv...

This Frost Radar™ analysis benchmarks vendors that offer open-source intelligence (OSINT) platforms for businesses, law enforcement, and government agencies to accomplish threat intelligence, due diligence, and risk evaluation investigations. Frost & Sullivan uses its proprietary benchmarking methodology to plot the top global vendors in the indu...

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...

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...