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At the Edge: AI performance Cannot be Tiny Anymore (Part 2 of 2)
Blog George Medici Blog George Medici

At the Edge: AI performance Cannot be Tiny Anymore (Part 2 of 2)

In the first part of this series, we explored the challenges posed by the current approach to edge AI, such as scalability issues, escalating network and cloud costs, and the limitations of legacy processors. As the demand for smarter, faster, and more secure AI applications grows, it is becoming increasingly clear that edge AI cannot be tiny anymore. In this follow-up, we will discuss the reasons behind this shift and introduce Syntiant’s new NDP250 chip as a prime example of how advanced edge AI processors are addressing these challenges and making Edge AI a reality.

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Why Edge AI for EV Battery Management
Blog Jared Geilich Blog Jared Geilich

Why Edge AI for EV Battery Management

EVs are equipped with hundreds of sensors and controllers to measure and process tons of data. As the techniques to make data-driven decisions evolve, the e-mobility industry has taken advantage of Big Data and AI to operate, monitor, and optimize a crucial piece of the EV powertrain: the battery. This article explores how Edge AI can improve Battery Management System (BMS) performance and safety.

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