IRVINE, Calif., Sept. 13, 2024 (GLOBE NEWSWIRE) -- Syntiant Corp., the recognized leader in low power edge AI deployment, today unveiled its proprietary small language model assistant (SLMA), a highly accurate, cloud-free, on-device AI voice assistant that offers a seamless, natural voice interface for human-machine interactions.
Ideal for set-top box manufacturers, service providers and other device manufacturers, Syntiant's SLMA brings the power of a large language model (LLM) to the edge, while eliminating the need to significantly upgrade or replace existing hardware.
“With our technology, AI language models that typically demand extensive computing resources can now operate efficiently on local devices,” said Kurt Busch, CEO of Syntiant. “While voice applications for our SLMA extend across many industries, imagine the advantage for set-top box manufacturers. Instead of providing static guides or instructions, manufacturers can now integrate a more dynamic, conversational AI assistant to help users without a Web connection, reducing one of the main customer friction points for service providers.”
Syntiant's SLMA is currently being used to power voice interfaces in home appliances, networking equipment, video conferencing systems, among other devices. Coupled with Syntiant's automatic speech recognition (ASR) models, Syntiant’s SLMA provides a natural voice-interface at a fraction of the computational cost of LLMs.
“The integration of Syntiant’s SLMA on our Synaptics Astra SL1680 high-performance, low-power system on chip offers a transformative opportunity, allowing users to control their environments, communicate, and perform tasks with unprecedented ease,” said Siddarth Chandrasekar, senior director of product marketing at Synaptics. “As a leader in scalable edge AI processing and connectivity for the IoT, this technology and its associated reference design align perfectly with our mission to help developers quickly deliver intuitive and responsive user experiences.”
With only 23 million parameters, Syntiant’s SLMA is highly scalable and can easily run on most existing set top box CPUs. The small language model’s always-on capability ensures continuous interactions anytime, without the limitations of human agents, such as work hours or fatigue.
Syntiant will showcase its SLMA solution on a set-top box reference design in collaboration with Synaptics at IBC 2024, taking place from September 13-16 in Amsterdam, Netherlands. Visit Synaptics at Booth Hall 1, C.20 to see live demonstrations. Syntiant also is demonstrating its SLMA reference design with Arcadyan Technology at Booth Hall 1, B.11. To schedule a meeting or demo, contact info@syntiant.com.
About Syntiant
Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Robert Bosch Venture Capital, the Amazon Alexa Fund and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com or by following Syntiant on X @Syntiantcorp or LinkedIn.
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