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Access collaborate with LeapMind to implement AI on IoT devices with low power consumption

Access collaborate with LeapMind to implement AI on IoT devices with low power consumption

Posted by Anasia D'melloOctober 15, 2018

Access Co, ltd. has announced that Tokyo-based LeapMind Inc., is collaborating with ACCESS as an Artificial Intelligence (AI) technology partner for NetFront EdgeAI. This solution integrates edge-computing technology with AI technology to achieve high-speed, real-time AI processing on edge devices.

The number of IoT devices is increasing globally. It is predicted that approximately 30 billion IoT devices will be connected by 2020, ranging from high-spec and high-end devices such as connected cars to low-end devices with limited power consumption and footprints such as surveillance monitors, small cameras and drones.

The market expects AI technology to be combined with the ever-increasing number and types of IoT devices to drive take-up and effectiveness. Demand is expected to be particularly high for the provision of tools to implement AI technology to achieve real-time image recognition on IoT edge devices and manage them in an efficient, secure and safe manner.

In light of this, Access and LeapMind have entered into a collaboration agreement to provide a solution that combines Access’ advanced technology for managing edge devices in the cloud remotely with LeapMind’s advanced model compression technology. LeapMind’s advanced model compression technology equips small computing environments, including low power consumption SoC FPGAs, with deep-learning inference algorithms.

Specifically, the combination of Access’ NetFront EdgeAI with LeapMind’s DeLTA-Lite will be provided as a comprehensive solution for building deep-learning models, distributing them to each edge device and updating them, thereby helping companies efficiently deploy and operate IoT solutions. Targeting low-cost, low-power consumption edge devices, this solution makes it possible to implement recognition features on various edge devices such as small cameras that were not previously able to utilise deep learning.

Soichi Matsuda, CEO of LeapMind, said: “I am sure that this collaboration with Access will accelerate the implementation of Deep Learning of Things (DoT), in which deep learning technology is applied to all kinds of objects. Going forward, LeapMind will strive to make complex and complicated deep learning “compact and simple” and embed it to the real world.

Michi Uematsu, CTO of Access said: “This collaboration with LeapMind makes it possible to actively implement AI technology on embedded devices. Access has been continuously transforming society by providing Internet technology to various embedded devices. By providing IoT devices powered by LeapMind’s AI technology for embedded devices and Access’s edge-computing technology for embedded devices, we will keep improving everyone’s daily life.”

Access and LeapMind will provide this integrated solution to several companies in advance as a pilot test and will offer it officially by the end of the year to factories, warehouses, logistics, security and other fields that are working to equip their numerous IoT devices with AI.

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