Company’s first ultra-low power AI module will be commercially available for wearables and various other battery-powered on-device AI applications starting Q1 2025
Ambient Scientific, The AI Processor Company, announced its first coin cell battery powered AI module, named the Sparsh-board, targeted for a variety of on-device AI applications such as human activity recognition, voice control, acoustic event detection and more capable of running on a coin cell battery for months of always-on AI operation. Equipped with motion sensors, a digital microphone, BLE module and several other components, the Sparsh module is an extremely powerful and versatile module to enable rapid prototyping of a vast array of battery-powered AI applications.
“While traditional MCUs force an undesirable tradeoff between AI performance and power consumption, our ultra-low power AI processor GPX10 ushers a paradigm shift with our groundbreaking analog in-memory computing technology,” said GP Singh, Founder and CEO of Ambient Scientific. Product makers can now enable highly accurate and diverse AI applications without compromising on AI performance, battery life, form factor, flexibility and more.
Also Read: Rescale Powers Real-Time Engineering Simulations with NVIDIA
Ambient Scientific’s exhaustive software stack makes the development of AI applications easier than ever before with support for industry standard AI frameworks such as Tensorflow and keras and a continuously evolving homegrown compiler, capable of supporting essentially all the major types of neural networks. With various sample AI applications and algorithms included, developers can get begin developing AI applications within minutes of downloading our AmbiSense SDK.
Current applications being worked on cut across industries, including predictive maintenance, AI-enabled medical devices, wearables, voice controlled toys and more. With increasing demand from product makers, enthusiasts, students and researchers alike, Ambient Scientific plans to launch several reference designs for battery-powered AI applications and similar form factor modules to enable rapid prototyping and fulfill its mission to make AI computing efficient, accessible and affordable for all.
Source: PRNewswire
