BrainChip Podcast Explores AI at the Edge with Topio Networks CEO Philippe Cases

ALISO VIEJO, Calif .– (COMMERCIAL THREAD) – BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of high performance, ultra-low power artificial intelligence technologies, today announced that the co-founder and CEO from Topio Networks is the featured guest of this month’s “This is Our Mission” podcast. Phillipe Cases joins BrainChip’s vice president of global sales, Rob Telson, to discuss AI on the periphery. The podcast will be available on November 9 at 4 p.m. PST on the company’s podcast platforms and on the BrainChip website.

Cases built Topio Networks to be an industry catalyst accelerating training markets by building communities around emerging trends, such as IOT with in 2014, Dapps and Edge Computing with in 2018. Topio Networks follows more than 60,000 distinct technology trends. although its AI technology has grown over the past 5 years, capturing unique insights and connection opportunities. Cases and Telson talk about the biggest moves at Edge and how AI specifically addresses those moves, the biggest areas of growth in the Edge-based automotive landscape, and the uniqueness of Edge-based industrial applications, among other topics. .

“Philippe’s experience in managing an innovative company like Topio, his experience in the field of technological venture capital and his knowledge on subjects such as AI, Big Data, mobility and smart cities help to better understand the BrainChip podcast, ”Telson said. “We’re still researching how BrainChip can fit into real-world scenarios and how Akida can make a difference in many different industries by leveraging AI on the edge. Conversing with experts outside the company, like Philippe, helps our listeners and investors better understand how BrainChip is able to positively affect the community at large. It’s another wonderful conversation that I can’t wait for our podcast subscribers to enjoy. ”

BrainChip’s Akida is bringing artificial intelligence to the forefront in a way that existing technologies cannot. The solution is high performance, small, ultra-low power, and enables a wide range of advanced capabilities, including single learning. Akida (NSoC) and intellectual property can be used in applications such as Smart Home, Smart Health, Smart City and Smart Transportation. These applications include, but are not limited to, home automation and remote controls, industrial IoT, robotics, security cameras, sensors, unmanned aircraft, autonomous vehicles, medical instruments, object detection , sound detection, smell and taste detection, gesture control and cybersecurity.

The BrainChip Podcast is a monthly event intended to provide company and industry information to the engineering community in target markets, as well as analysts, the technical and financial press, and investors. Past podcast episodes can be streamed at

About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF)

BrainChip is a global technology company that produces a revolutionary neuromorphic processor that brings artificial intelligence to the forefront in a way that exceeds the capabilities of other products. The chip is high performance, small, ultra low power, and enables a wide range of advanced capabilities that include on-chip training, learning, and inference. The Event-Based Neural Network Processor takes its inspiration from the cutting edge nature of the human brain and is implemented in an industry standard digital process. By mimicking brain processing, BrainChip pioneered a processing architecture, called Akida â„¢, which is both scalable and flexible to meet the demands of edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than transmitting through the cloud to a data center. Akida is designed to provide a complete, ultra-low power and fast AI Edge network for vision, audio, olfactory and intelligent transducer applications. Reducing system latency provides faster response and a more energy efficient system that can reduce the large carbon footprint of data centers.

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