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2024 BrainChip Discussion, page-555

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    HUMANISING

    AUTONOMOUS MACHINES

    NVISO is a global leader in human behaviour artificial intelligence (AI) software
    for the extreme edge, serving manufacturers of user-centric products and services worldwide.
    Our mission is to help teach machines to understand people and their behavior to make
    autonomous machines safe, secure, and personalized for humans.




    UNDERSTANDING HUMANS

    IN INTELLIGENT DEVICES AT SCALE

    The age of autonomous machines and intelligent IoT devices is upon us. They will affect many aspects of our lives. They will bring about a new generation of diagnostic instruments to clinics, improve cars and transportation, and create new consumer experiences, while being embedded into the networks that power and inform society underpinning the efficient provision of public and private services.

    Critical to their operation, will be improving the safety, security, and quality of life of humans that interact with such intelligent systems. To interact efficiently and effectively, sensing and interpreting human behaviour will become mission critical to connecting the human user with automated systems.




    AI-ENABLED

    HUMAN MACHINE INTERFACES

    Globally deployed, validated, and award-winning human behaviour AI technology for key applications in electric and autonomous vehicles with advanced in-cabin monitoring, patient monitoring for remote tele-medicine in healthcare/ robotics, and intelligent devices for smart homes. Built on real-time perception and observation of people and objects in contextual situations combined with the reasoning and semantics of human behavior based on trusted scientific research.

    NVISO’s SDK’s provides a robust real-time human behaviour AI API, NVISO Neuro Models™ interoperable and optimised for neuromorphic computing, the ability for flexible sensor integration and placement while delivering faster development cycles and time-to-value for software developers and integrators.


    ACCURATE AND ROBUST

    CNNs scale to learn from billions of examples resulting in an extraordinary capacity to learn highly complex behaviors and thousands of categories. NVISO can train powerful and highly accurate and robust models for use in the toughest environments thanks to its proprietary datasets captured in real-world environments.


    EASY TO INTEGRATE

    Where AI is fragmented and difficult-to-navigate at the edge, NVISO AI Apps are simple to use, develop, and deploy, with easy software portability across a variety of hardware and architectures. It reduces the high barriers-to-entry into the edge AI space through cost-effective standardized AI Apps that are future proof and work optimally at the extreme edge.


    ETHICAL AND TRUSTWORTHY

    AI systems need to be resilient and secure. They need to be safe, ensuring a fall back plan in case something goes wrong, as well as being accurate, reliable and reproducible. Additionally unfair bias must be avoided, as it could could have multiple negative implications. NVISO adopts Trustworthy AI frameworks and state-of-the-art policies and practices to ensure its AI Apps are "fit-for-purpose".





    HUMAN BEHAVIOUR AI

    FROM SENSOR TO SOLUTION

    The task of understanding humans by using smart sensing has become increasingly important in modern society, given the proliferation and ubiquity of embedded sensors in a huge range of devices ranging from smartphones and smart city infrastructure to consumer IoT devices and health monitoring systems. A key to enabling the human user to connect with automated systems is artificial intelligence, which enables the plethora of sensing data to be processed in a way that gives context and meaningful insights to aid smart devices to make decisions and perform tasks.

    Although there are a number of challenges in developing and integrating artificial intelligence into smart sensing and IoT applications (ranging from memory footprint and computational complexity, to privacy and robustness), the detection and understanding of human activities using artificial intelligence can be divided into three fundamental layers as described below.

 
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