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 ...
The value of edge AI within various industries. How edge AI utilizes machine learning. Which hardware works best with edge AI workloads. From smart-home assistants (think Alexa, Google and Siri) to ...
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 ...
Heterogeneous compute and a new paradigm for AI at the edge. In partnership withArm Artificial Intelligence (AI) is emerging in everyday use cases, thanks to advances in foundational models, more ...
MCUs are opening the field for extreme edge development, unveiling a new age of possibilities and solutions — especially with ...
AI in daily life quietly powers devices we interact with every day, from smartphones and home appliances to navigation apps and wearables. Edge computing and tiny neural networks embedded in device ...
As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
Image courtesy by QUE.com As we navigate the landscape of 2026, we find ourselves no longer merely using Machine Learning (ML) but ...
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