USPTO issues historic patent to artificial intelligence start-up ORBAI
— Brent Oster, CEO of ORBAI
SANTA CLARA, California, U.S., Nov. 2, 2022 /EINPresswire.com/ — ORBAI, a Silicon Valley startup, was awarded a landmark AI patent this week by the U.S. Patent and Trademark Office, covering tools and methods for a revolutionary 3rd generation of AI based on an entirely new set of state-of-the-art neural network technologies that takes a huge leap forward from the 2nd generation deep learning AI of today.
These technologies will enable more advanced AI applications, with conversational speech, human-like cognition, and real-world planning and interaction, actively learning without supervision. They will first find use in smart devices, homes and robotics, then in online professional services.
What we generally think of as artificial intelligence (AI) today, when we see human-like robots and holograms in our fiction, speaking and acting like real people and having human-level intelligence and abilities or even superhuman, is actually called artificial general intelligence. (AGI), and it does not yet exist anywhere on earth. What the AI industry really has today is much simpler, much narrower Deep Learning (DL) that can only do some very specific tasks better than people and has fundamental limitations that won’t allow it not to become AGI. Without neural networks that have spatiotemporal processing and learn at runtime from new data, current generation 2 deep neural networks are unable to fully realize true computer vision, robust speech recognition and an interpretation of the environment and data inputs.
The patent covers ORBAI’s NeuroCAD SNN toolkit and 3rd generation Spiking neural network design processes, and their training and evolution to applications in vision, speech, control, planning and analysis. The patent is Application No. 16/437,838, titled “Apparatus and method for using a parameter genome characterizing neural network connections as a building block for constructing a neural network with feedforward and feedback pathways.”
The patent’s methods solve the biggest obstacle to the use of Generation 3 SNNs to date that previously prevented their widespread adoption – training SNNs to perform useful functions, because the standard backpropagation techniques used in machine learning. depth do not work with SNNs due to their time domain properties. The ORBAI patent implements network training using an SNN autoencoder with a feedback loop, all tuned by genetic algorithms. These innovations in Spiking Neural Networks are a major breakthrough, making it possible for the first time to train them for practical purposes. This achievement is analogous to Nicola Tesla’s innovations that made alternating current practical and capable of surpassing direct current as the standard for electricity in the 1900s.
Building on this NeuroCAD toolchain and SNN technology shaped by genetic algorithms, ORBAI is designing artificial general intelligence that will enable more advanced AI applications, with conversational speech, human-like cognition, planning and interaction with the real world, learning without supervision. It will first find use in smart devices, homes, and robotics, followed by online professional services and enhanced analytics, forecasting, and decision-making capabilities in financial and business forecasting software. , all with an AGI at the heart that powers them.
ORBAI’s business model is to license development tools to customers and also work with third-party developers to create custom embedded AI solutions for customers. Customers will then have access to the core AGI as AI as a Service (AIaaS), allowing our network of developers to connect to it with data and applications for various customer needs.
ORBAI is a California-based startup developing general artificial intelligence to power smart devices and smart online business services (www.orbai.com) with core AGI technology that will be licensed to companies that manufacture devices and AI professional services.
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