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BrainChip Featured in Actualtech Emerging AI/ML and Data Science EcoCast – AiThority

BrainChip Holdings Ltd., a leading provider of ultra-low power, high performance edge AI technology, will present to IT professionals in the upcoming EcoCast webinar “Supporting Emerging AI, ML, and Data Science Initiatives,” February 27, 2020. The EcoCast, a live in-depth demonstration and discussion, addresses business and technology initiatives in emerging AI, ML, and data science.The presentation by BrainChip COO Roger Levinson will include BrainChip’s Akida that brings highly efficient AI processing capabilities to edge devices such as motion sensors, medical devices, automotive systems, or drones. Joining BrainChip are presenters from data science platform Anaconda and Run:AI, a provider of virtualization layer for deep learning training models.Recommended AI News: AWS Acquires a Powerful Data Exploration and Visualization to Boost Python & R Integration“Artificial intelligence and machine learning tools are critical to the growth of AI. In addition, the utilization of those tools to solve the next generation of AI problems at the Edge requires coupling them with next generation Hardware solutions such as BrainChip’s Akida technology,” said Levinson. “Industries such as surveillance, autonomous vehicles, visual and acoustic analysis, and Internet of Things are among the current leaders in deploying edge AI/ML, but others are quickly following to capitalize on the benefits of these technologies.”Recommended AI News: NICE Introduces Game-Changing Robotic Process Automation Offering to Fast-Track Adoption and SuccessAkida is available as a licensable IP technology that can be integrated into ASIC devices and will be available as an integrated SoC, both suitable for applications such as surveillance, advanced driver assistance systems (ADAS), autonomous vehicles (AV), vision guided robotics, drones, augmented and virtual reality (AR/VR), acoustic analysis, and Industrial Internet-of-Things (IoT). Akida is a complete neural processing engine for edge applications, which eliminates CPU and memory overhead while delivering unprecedented efficiency, faster results, at minimum cost. Functions like training, learning, and inferencing are orders of magnitude more efficient with Akida.Recommended AI News: GlobalData Reveals Top Ten Mobility as a Service Influencers in Q4 2019
Source: https://www.aithority.com/machine-learning/brainchip-featured-in-actualtech-medias-emerging-ai-ml-and-data-science-ecocast/