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How EMASS is Revolutionizing Battery-Powered AI Applications

How EMASS is Revolutionizing Battery-Powered AI Applications

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Power efficiency has become the new currency in AI, and no company exemplifies this shift better than EMAS. Founded by Professor Mohamed Ali as a spinoff from his groundbreaking research at NTU Singapore, this innovative startup is revolutionizing edge AI with semiconductor technology that delivers unprecedented power efficiency for battery-constrained devices.

The story begins in 2018 when Ali and his team set out to examine the entire computing stack from applications down to nanotechnology devices. Their research led to a remarkable breakthrough: a chip architecture that brings memory and compute components closer together, resulting in power efficiency 10-100 times better than competing solutions. Unlike other processors that claim low power consumption only during standby, EMAS's chip maintains ultra-low power usage while actively processing data—the true measure of efficiency for AI applications.

Mark Gornson, CEO of EMAS's Semiconductor Division, brings 46 years of industry experience to the team, having worked with giants like Intel and ON Semiconductor. After seeing the benchmarks of EMAS's technology, he came out of retirement to help commercialize what he recognized as a game-changing innovation perfectly timed for the edge AI explosion.

The applications are vast and growing. Drones can achieve dramatically longer flight times with lighter batteries. Wearable devices gain extended battery life without compromising functionality. Agricultural equipment benefits from real-time monitoring without frequent recharging. Industrial machinery can be equipped with predictive maintenance capabilities that identify subtle anomalies in vibration, temperature, or current draw before failures occur. Robotics systems gain critical safety features through microsecond decision-making capabilities.

For developers, EMAS has prioritized accessibility by ensuring compatibility with familiar frameworks like TensorFlow and PyTorch. Their backend engine handles the translation to optimized binaries, eliminating the learning curve typically associated with specialized hardware.

Ready to experience this breakthrough technology? EMAS offers development kits for hands-on testing and even provides remote access to their hardware for preliminary evaluation. See them in person at upcoming industry events in Amsterdam and Taipei, where they'll showcase how their innovative approach is redefining what's possible with battery-powered intelligent devices.

Join the edge AI revolution and discover how EMAS is making efficient intelligence accessible everywhere it matters.

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