SAN JOSE, CA, [Sep 9] – Applied Brain Research (ABR), a leader in the development of AI solutions, is demonstrating the world’s first self-contained single-chip speech recognition solution at the AI Hardware and Edge AI Summit this week. This is an unveiling of the technology integrated into ABR’s first time series processor chip, the TSP1, capable of performing real-time low latency automatic speech recognition.
The solution employs ABR’s innovations at several levels of the technology. It starts with the world’s first patented state-space network, the Legendre Memory Unit (LMU), that is a breakthrough in efficient computation for time series processing. Next, the networks are trained and compiled using ABR’s advanced full-stack toolchain. And finally, the network runs on ABR’s proprietary computational neural fabric that greatly reduces power consumption through reduction in data movement within the chip.
“What ABR is showcasing today has been five years in the making starting with our earliest observations of how the brain processes memories which led to the state space network model that we derived from that study and subsequently patented,” said Dr. Chris Eliasmith, ABR’s co-founder and CTO. “From that starting point, we have innovated at every level of the technology stack to do what has never before been possible for speech processing in low-powered edge devices.”
“ABR’s TSP1 is going to revolutionize how time series AI is integrated into devices at the edge,“ said Kevin Conley, ABR’s CEO. “We are showcasing the fastest, most accurate self-contained speech recognition solution ever produced, with both English and Mandarin versions. The TSP1 will delivery these capabilities at 100X lower power than currently available edge GPU solutions. And speech recognition, which we are actively engaged with customers to develop, is only the first step in commercializing the potential of this technology.”
ABR’s TSP1 is a single-chip solution for time series inference applications like real-time speech recognition (including keyword spotting), realistic text-to-speech synthesis, natural language control interfaces and other advanced sensor fusion applications. The TSP1 integrates neural processing fabric, CPU, sensor interfaces and on-chip NVM for a self-contained easy to integrate solution. The TSP1 is supported by an advanced no-code network development toolchain to create the easiest to develop and deploy time series solution on the market.
ABR has a booth in the Startup Village at the AI Hardware and Edge AI Summit at the Signia by Hilton in San Jose, CA from Sept 10-12.
About Applied Brain Research
Applied Brain Research Inc (ABR) is a pioneer in Artificial Intelligence technology founded by alumni of the Computational Neuroscience Research Group at the University of Waterloo. ABR is leading a new wave of product development targeting ultra-low power Edge AI, enabling a new level of capability in low-power critical applications. ABR’s revolutionary time-series AI processor uses 100x less-power than other high-functionality edge AI hardware, and supports AI models up to 10-100x larger than other low-power edge AI hardware.
ABR, headquartered in Waterloo, Ontario, is a Silicon Catalyst Portfolio Company. More company and product information can be found at www.appliedbrainresearch.com.
