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Aires Investment Holdings Granted U.S. Patent for Encryption Method Involving Artificial Intelligence - PR Newswire APAC

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Aires Investment Holdings (the "Company" or "Aires"), a groundbreaking technology company based in Singapore, announced today that the United States Patent and Trademark Office has granted US Patent No. 11,522,674 to Aires Investment Holdings. The patent, titled "Encryption, Decryption, And Key Generation Apparatus And Method Involving Diophantine Equation And Artificial Intelligence" illustrates the company's multi-year research into artificial intelligence and cybersecurity. US Patent No. 11,522,674 is among the the first in the world to utilize the concept of artificial intelligence paired with undecidable encryption. Artificial intelligence is designed to improve the encryption with data over periods of time while undecidable encryption are based on undecidable problems that no algorithm can solve. The patent grant is the first for Aires, with upcoming patent applications pending.


Global Artificial Intelligence Chipsets Market Report 2022 to 2027: Increasing Focus on Developing Human-Aware AI Systems Presents Opportunities

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South Korea 13.12 Sri Lanka 13.13 Thailand 13.14 Taiwan 13.15 Rest of Asia-Pacific 14 Competitive Landscape 14.1 Competitive Quadrant 14.2 Market Share Analysis 14.3 Strategic Initiatives 14.3.1 M&A and Investments 14.3.2


Tracing the Steps of Medieval Writers – PR Newswire

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Using artificial intelligence and machine learning, the sheer number of pages can be analysed faster.


Laird Connectivity Expands System-On-Module Portfolio with Boundary Devices Acquisition

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Laird Connectivity, a global leader in wireless modules, internal antennas, IoT Devices, and custom wireless solutions, is pleased to announce it has acquired California-based Boundary Devices, a leader in designing and manufacturing System-on-Modules (SOM) and Single Board Computers (SBC). Founded in 2003 and headquartered in Lake Forest, California, Boundary Devices is a pioneer and leader in providing innovative SOM and SBC products that serve a diverse and global customer base across high-growth end markets, including IoT, commercial equipment, laboratory instruments, and industrial automation. The Company provides a one-stop-shop destination for customers seeking a total-solutions partner able to offer: hardware design for NXP Semiconductors i.MX applications processors, software development, U.S. based manufacturing, and integration, all backed by best-in-class engineering and customer support. Recommended AI: How is Artificial Intelligence (AI) Changing the Future of Architecture? The acquisition significantly enhances the growing Laird Connectivity SOM portfolio by providing a full complement of SOM and SBC products for a wide range of customer applications.


AI Conversation Speaker aka Friend Bot: Part 2 Wake Word - Hackster.io

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The Conversational Speaker, informally known as "Friend Bot", uses a Raspberry Pi to enable a spoken conversation with OpenAI large language models. This implementation waits for a wake phrase, listens to speech, processes the conversation through the OpenAI service, and responds back. For more information on the prompt engine used for maintaining conversation context, go here: python,typescript,dotnet. This project is written in.NET 6 which supports Raspberry Pi OS, Linux, macOS, and Windows. The code base has a default wake word (i.e., "Hey, Computer.")


Deploy Amazon SageMaker Autopilot models to serverless inference endpoints

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Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning (ML) models based on your data, while allowing you to maintain full control and visibility. Autopilot can also deploy trained models to real-time inference endpoints automatically. If you have workloads with spiky or unpredictable traffic patterns that can tolerate cold starts, then deploying the model to a serverless inference endpoint would be more cost efficient. Amazon SageMaker Serverless Inference is a purpose-built inference option ideal for workloads with unpredictable traffic patterns and that can tolerate cold starts. Unlike a real-time inference endpoint, which is backed by a long-running compute instance, serverless endpoints provision resources on demand with built-in auto scaling.


FICO Wins Machine Learning Award for Scams Detection Model

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Global analytics software provider FICO won the Machine Learning in Credit and Collections Award at the 2022 Credit & Collections Technology …


Machine Learning as a Service Market- Global Industry Size, Share, Trends … – PR Newswire

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PRNewswire/ — Machine Learning as a Service Market- Global Industry Size, Share, Trends, Opportunities, and Forecast 2018-2028F Read the full …


Rеvеnuе Frоm Thе Global Artificial Intelligence In Military Market Was Valued Uѕ$ 6,785.5 Мn Іn 2021

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Almost every industry in the world of commerce has been invaded by artificial intelligence. It has changed how people and business function, and it is quickly becoming into an essential element of modern warfare. The size and capability of an army is one of the factors that determine how powerful a country is. In some of the most developed countries, investment in this area is the highest when compared to other sectors. A significant portion of these funds are devoted to research and development in modern technologies, including artificial intelligence (AI) for use in the military.


HERE Workspace: The low-code platform tool for map creation now comes with machine learning from AWS

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HERE Technologies today announced that HERE Workspace is expanding to give enterprises more ways to integrate spatial intelligence into their business operations, supply chains and fleets. Launched two years ago as a platform tool for building and scaling customized maps, services and experiences, HERE Workspace is offering new and improved capabilities, including a low-code environment for developing spatial intelligence and a new intuitive and predictable value-based pricing model. HERE is also pleased to announce that HERE Workspace now integrates seamlessly with Amazon SageMaker, enabling users to leverage familiar value-added machine learning tools to enhance their spatial intelligence development. "We believe that every smart enterprise will want its own private map, leveraging its own spatial data at scale," says Giovanni Lanfranchi, Chief Product & Technology Officer at HERE Technologies. "Building on our progress of the last years, we're expanding the possibilities of HERE Workspace by connecting it to Amazon SageMaker, an end-to-end machine learning solution, to deliver even greater value for customers."