Tech Transfer eNews Blog

Delft U of Technology start-up develops processing chip based on brain mechanics

By Jesse Schwartz
Published: December 1st, 2020

A start-up from Delft University of Technology in the Netherlands has developed a neuromorphic chip that mimics the brain’s mechanisms for pattern recognition in order to process data faster and more efficiently.

Innatera Nanosystems has raised €5 million (roughly $6M US) in seed funding to advance its neural network-inspired chip, which uses analog-mixed signal devices that recreate the behavior of spiking neurons and synapses, the brain’s fundamental building blocks. This enables the chip to process sensor data 100 times faster, using up to 500 times less energy than conventional processors.

Innatera’s technology could be applied to intelligent speech processing in human-machine interfaces, vital sign monitoring in wearable devices, fault detection in automotive equipment, and more.

“The most impactful sensor-driven applications today are limited by the efficiency and speed of the processor, and this is moreso in small, battery-powered devices than anywhere else,” says the startup’s co-founder Sumeet Kumar. “Innatera is reinventing processing for sensors by combining the energy efficiency of analog-mixed signal neuromorphic silicon with the performance gains of true spiking neural network algorithms, in a single integrated compute solution.”

Innatera’s €5 million seed round was led by Munich-based fund MIG Verwaltungs and the Industrial Technologies Fund of venture capital group btov Partners.

Christian Reitberger, partner at btov, comments, “Innatera sets itself apart from the plethora of AI accelerator companies by focusing on the edge of the edge — sensory data processing in the field. Translating truly brain-inspired design principles into state of the art analog-mixed signal solutions enables a performance envelope not accessible to more conventional solutions.”

Innatera will use the funds to scale up its R&D efforts, accelerate product development and hire new staff, with the goal of commercializing the chip in 2021.

Source: eeNews

Posted under: Tech Transfer e-News

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