Accelerating RTL Design with Agentic AI: A Multi-Agent LLM-Driven Approach
In today’s fast-paced silicon industry, hardware design is under constant pressure to innovate, iterate, and ship faster…
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Why RPAs Fall Short in IIoT and How Agentic AI Fills the Gap
The Industrial Internet of Things (IIoT), through distributed systems, autonomous control, and real-time intelligence, has transformed…
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The Rise of Small Language Models
In today’s world, Artificial Intelligence (AI) continues to be a hot topic of discussion, with industries across the globe rapidly…
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How Generative AI will Shape the Next Generation of IoT Devices
Generative AI is set to revolutionize the landscape of Internet of Things (IoT) devices, introducing unparallel levels of efficiency, adaptability,…
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AI Engineering | Blog | Digital Engineering | MosChip DigitalSky™ | Quality & Automation Engineering
Generative AI for Smart Home Automation: Current Trends and Future Directions
Smart home automation has transformed from a niche market into a mainstream phenomenon, enhancing convenience, energy efficiency, and security in…
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Boosting ML Model Interoperability and Efficiency with the ONNX framework
The rapid growth of artificial intelligence and machine learning has led to the development of numerous deep learning frameworks. Each…
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Multimedia Intelligence: Confluence of Multimedia and Artificial Intelligence
In contrast to traditional mass media, such as printed material or audio recordings, which feature little to no interaction between…
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AI Engineering | Blog | IoT | Semiconductor
Model Compression Techniques for Edge AI
Deep learning is growing at a tremendous pace in terms of models and their datasets. In terms of applications, the…
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Model Quantization for Edge AI
Deep learning is witnessing a growing history of success, however, the large/heavy models that must be run on a high-performance…
