Hear from Dr Adam Osseiran on SNAP: A Technology that Learns Like The Human Brain - Upcoming Branch Forum!

Spiking Neuron Adaptive Processor (SNAP) is a technology that consists of many custom-designed cores that operate in parallel, making it significantly faster than software neural networks that run on a CPU or a Graphics Processing Unit (GPU). This new technology has the ability to learn autonomously, evolve and associate information just like the human brain. The technology is user configurable to meet a wide range of applications.

BrainChip’s SNAP is more energy efficient, enabling SNN to be integrated into portable devices for the local processing of sensor data. SNAP based neural networks can respond in real time with low latency, regardless of the neural network size. SNAP also implements learning rules in hardware, enabling Autonomous Features Extraction (AFE) directly from input data without the need for any software processing.

SNAP technology is configurable and scalable to any SNN and can accelerate neural computations needed for any kind of data/sensor processing. SNAP based neuromorphic chips can be used in nearly any embedded systems that requires pattern recognition or AFE locally without having to go to cloud based computations. Such systems represent a massive and unlimited potential market, with applications in Smartphones, Internet of Things (IoT), machine to machine (M2M), robotics, gaming, driverless vehicles, drones and air transportation among others.

About Adam Osseiran

Dr Osseiran joined the Board of BrainChip in September 2015.  Adam has been involved with BrainChip since 2012, providing advice and assistance on several aspects of technology, applications and commercial opportunities. Adam holds a Ph.D. in microelectronics from the National Polytechnic Institute of Grenoble, France and a M.Sc. and B.Sc. from the University of Joseph Fourier in Grenoble. Adam is currently Associate Professor of Electrical Engineering at Edith Cowan University.

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