Synaptics is showing partnerships with B<>com and Syntiant for AI in set top box designs.
Syntiant has developed a Small Language Model Assistant (SMLA) for generative AI in a set top box design, while the b<>com Sublima AI algorithm is providing frame-accurate SDR-to-HDR video conversion.
The B<>com Sublima algorithm is running on the Synaptics VS680 multimedia system on chip (SoC).
This is the first AI-enabled frame-accurate, dynamic SDR-to-HDR video conversion for set-top boxes (STBs and uses the 7.9TOPS neural processing unit (NPU) in the chip alongside the quad-core ARM Cortex-A73 processor with security extensions and the integrated ISP image processor.
“This is the first time we have used an Edge-optimized AI approach for our HDR conversion technology. The VS680 platform provides a more compact and efficient way to seamlessly convert video content to the immersive and realistic HDR format,” said Tania Pouli, Director of Strategy Video at b<>com. “Importantly, Sublima achieves this while maintaining video quality and competitive price points for consumer and industrial video systems.”
“b<>com takes full advantage of the VS680’s NPU, CPU, and GPU heterogeneous architecture by using the SyNAP toolkit to securely balance the *Sublima* algorithm and optimize it for performance, power, and accuracy,” said Siddarth Chandrasekar, Sr. Director of Product Marketing at Synaptics. “This is a strong example of how the SyNAP toolkit can be used to deliver differentiated AI-enhanced user experiences.”
Syntiant is also showing its newly developed SLMA on a set-top box reference design in collaboration with Synaptics at IBC 2024 this weekend in Amsterdam, Netherlands.
The 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 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.
“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.”
“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.”
www.syntiant.com; www.synaptics.com; www.b-com.com