ALISO VIEJO, Calif., June 15, 2020 -- BrainChip Holdings Ltd announced an Early Access Program (EAP) for the Akida neural processor System-on-Chip (SoC). The EAP has been targeted at specific customers in a diversity of end markets for early adoption of the Akida device. Since announcing the start of wafer fabrication in April 2020, the demand for evaluation systems, including engineering prototypes, has been significant. In response to this demand, BrainChip has established an EAP for select partners to ensure availability of initial devices and evaluation systems for key applications. Multiple customers have committed to the advanced purchase of evaluation systems for a range of strategic Edge applications including ADAS/AV, Unmanned Aerial Vehicles (UAV), Edge vision systems and factory automation.
BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high-performance edge AI technology, today announced that it will present its revolutionary new breed of neuromorphic processing IP and Device in two sessions at the tinyML Summit at the Samsung Strategy & Innovation Center in San Jose, California February 12-13. In the Poster Session, "Bio-Inspired Edge Learning on the Akida Event-Based Neural Processor," representatives from BrainChip will explain to attendees how the company's Akida Neuromorphic System-on-Chip processes standard vision CNNs using industry standard flows and distinguishes itself from traditional deep-learning accelerators through key features of design choices and bio-inspired learning algorithm. These features allow Akida to require 40 to 60 percent fewer computations to process a given CNN when compared to a DLA, as well as allowing it to perform learning directly on the chip. BrainChip will also demonstrate "On-Chip Learning with Akida" in a presentation by Senior Field Applications Engineer Chris Anastasi. The demonstration will involve capturing a few hand gestures and hand positions from the audience using a Dynamic Vision Sensor camera and performing live learning and classification using the Akida neuromorphic platform.
Artificial Intelligence (AI) is a rapidly growing field. In "The State of AI in 2020" report, McKinsey found that 50% of the organizations surveyed have adopted AI in at least one function within their business. BrainChip developed the Akida Event-Domain Neural Processor to enable AI to run at an organization's edge, a location AI typically couldn't reach. BrainChip introduced and demonstrated the Akida solution at AI Field Day in November. The typical AI system requires thousands of data points to successfully train the algorithm and a powerful system to process the model.
BrainChip Holdings Ltd. Claims that it's the first company to deliver a spiking neural network (SNN) architecture to market. The company will begin sampling its new neuromorphic system-on-a-chip (SoC) in the third quarter of 2019, preceded by an FPGA-based development board for designers anticipating the introduction. The Akida Development Environment is available now for early-access customers. BrainChip's forthcoming Akida Neuromorphic SoC (NSoC) will implement a newer approach to machine learning called spiking neural networks. SNNs are said to learn much more rapidly than other machine-learning systems in nearly real time, using smaller data sets, all while relying on significantly less processing, which translates into lower power consumption.