This scholarly article examines the conceptual foundations, architectural models, enabling technologies, real-time processing frameworks, application domains, performance considerations, security ...
Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...
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What is ‘Edge AI’? What does it do and what can be gained from this alternative to cloud computing?
Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...
The open-source nature of RISC-V brings the benefits of a modular and royalty-free instruction set architecture (ISA) that eliminates licensing fees, can accelerate development, and fosters ...
Vikram Gupta is Chief Product Officer, SVP & GM of the IoT Processor Business Division at Synaptics, a leading EdgeAI semiconductor company. In my previous articles, I explored how the rapid growth of ...
Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change and ...
Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...
Field services are undergoing a fundamental transformation, driven by agentic AI, edge computing and selective use of 5G connectivity. As these technologies advance, field operations will become ...
Artificial Intelligence (AI) and Machine Learning (ML) are becoming core technologies across industries. Organizations are using these technologies to improve ...
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