Leopard Imaging Inc. (Leopard Imaging), a global leader in intelligent embedded camera design and manufacturing, is going to showcase a Stereo Camera Hawk and a High Speed Camera Owl from Segway Robotics’ Nova Carter robot, powered by the NVIDIA AGX Orin-based AI Box, at CES 2024.

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Segway Robotics’ Nova Carter is an agile robot designed to proficiently execute tasks including surround perception, 3D mapping, and autonomous navigation. With Leopard Imaging’s Stereo Camera Hawk and High Speed Camera Owl, Nova Carter brings cutting-edge imaging solutions to diverse applications ranging from robotics and autonomous vehicles to healthcare and industrial automation.

At the heart of Leopard Imaging’s showcase is an Autonomous Mobile Robot (AMR) intricately designed to embody the synergy between the Hawk 3D Stereo Camera, Owl High Speed Camera, and Leopard’s NVIDIA Jetson AGX Orin-powered AI Box. This dynamic trio forms the backbone of a cutting-edge robotic system, bringing together state-of-the-art hardware and artificial intelligence to redefine autonomous mobility.

The Hawk 3D Stereo Camera takes center stage as a key component of Leopard Imaging’s innovation. With its depth-sensing capabilities, the Hawk empowers the robot with unparalleled object detection and obstacle avoidance capabilities. This translates to enhanced safety and efficiency, making it a game-changer in real-world applications such as material-handling, retail analytics, healthcare, and beyond.

A distinctive feature of Leopard Imaging’s showcase is the robot with a 360-degree surround view based on Owl cameras. This comprehensive visual perspective, facilitated by 3D cameras strategically placed on the robot, ensures optimal awareness of its surroundings. The result is a robot that can navigate through complex environments with precision and confidence.

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Leopard Imaging’s AI Box, powered by the NVIDIA Jetson AGX Orin system on module, serves as the brain of the operation, housing a sophisticated artificial intelligence system. This system processes the wealth of data captured by the Hawk 3D Stereo Camera in real time, enabling intelligent decision-making and adaptive responses. The NVIDIA Jetson AGX Orin delivers powerful AI computing capabilities to help the AMR navigate through dynamic environments seamlessly. Leopard is also an Elite member of the NVIDIA Partner Network.

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• Siemens to integrate Amazon Bedrock into its Mendix low-code development platform to allow customers to create new and upgrade existing applications with the power of generative AI

• Access to Amazon Bedrock’s advanced generative AI technologies will help customers accelerate digitalization and tackle skilled labor shortages

• Mendix is an industry leader in low-code development with 50M end-users and more than 200,000 applications running on AWS across industrial, finance and other sectors

Siemens and Amazon Web Services (AWS) are strengthening their partnership and making it easier for businesses of all sizes and industries to build and scale generative artificial intelligence (AI) applications. Domain experts in fields such as engineering and manufacturing, as well as logistics, insurance or banking will be able to create new and upgrade existing applications with the most advanced generative AI technology. To make this possible, Siemens is integrating Amazon Bedrock – a service that offers a choice of high-performing foundation models from leading AI companies via a single API, along with security, privacy, and responsible AI capabilities – with Mendix, the leading low-code platform that is part of the Siemens Xcelerator portfolio.

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“By integrating Amazon Bedrock into our low-code platform, we are democratizing generative AI technology and empowering everyone to create the applications customers need to become more competitive, resilient, and sustainable,” said Roland Busch, CEO of Siemens. “Making smarter applications without programming expertise accelerates innovation and helps companies to tackle skilled labor shortages.”

“Together, AWS and Siemens are empowering companies worldwide to create new capabilities, solutions, and value with generative AI,” said Adam Selipsky, AWS CEO. “This partnership builds on our 10-year relationship with Siemens, giving customers across all industries the flexible, customizable, secure environment they need to take advantage of new opportunities with generative AI.”

The combination will enable customers to select the generative AI model that best suits their specific use case and quickly and securely incorporate that model into their applications. This will make their development simpler, faster, and more efficient. Previously, when developers wanted to integrate generative AI models, they had to obtain access credentials, and write specialized function code. With the new Mendix-Amazon Bedrock integration, this can now be done with just a few clicks. Teams can create smart, industry-hardened applications without dedicated programming knowledge and users can interact with information easily via a graphical interface and the simplicity of a drag and drop commands.

This innovation allows Mendix customers to apply generative AI to drive productivity within their workforce. For instance, using generative AI, a factory worker can find machine documentation faster, generating relevant visualizations without a need to manually search a database, manuals, and records. A production engineer could also use generative AI to suggest machine adjustments to improve yield, and get suggestions on equipment adjustments, maintenance, or even spare parts to maximize a factory’s productivity.  Customers do not need to build their own AI infrastructure and will be able to harness the power of their company’s data with the highest possible security and privacy, maintaining full control of their data.

Generative AI technology can supercharge applications with features like summarizing and analyzing lengthy technical or legal documents, translating content into different languages, or recognizing images. Financial businesses can integrate automatic fraud detection in their software, while workers in a car factory can improve quality based on AI analysis of millions of data points in the manufacturing line.  With access to a choice of foundational models on Amazon Bedrock, users can easily select the best model for their specific task and integrate it with just a few clicks.

The collaboration expands on the long-established partnership between AWS and Siemens to help streamline the use of IT and cloud technology so it can be easily integrated in applications and machine workflows, making it seamless to engage with.

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Today, more than 50 million end users worldwide work with more than 200,000 applications built with Mendix’s low-code platform, available as part of the Siemens Xcelerator portfolio. Low-code platforms are expected to grow substantially over the next years. The technology enables developers to create applications by drag and drop with reusable components and software building blocks, which means they can build more software faster and with smaller teams.

Amazon Bedrock is a fully managed service that offers easy access to a choice of industry-leading large language models and other foundation models from AI21 Labs, Amazon, Anthropic, Cohere, Meta, and Stability AI, along with a broad set of capabilities that customers need to build generative AI applications—simplifying development while supporting privacy and security.  Users can also apply Guardrails to filter undesired content, adhere to responsible AI policies, or finetune their models using Knowledge Bases for Amazon Bedrock to give contextual information from private data sources and more relevant, accurate, and customized responses. The Mendix-Amazon Bedrock integration complements AWS’s other generative AI services, like Amazon CodeWhisperer, a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on developers’ comments in natural language and their code.  Together, the services extend the benefits of generative AI to developers and enterprise users regardless of their programming abilities.

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• Stellantis introduces the first-of-its-kind virtual cockpit as a key component of the Stellantis Virtual Engineering Workbench (VEW)

• Industry-first innovation accelerates Stellantis development cycles up to 100 times, speeding up delivery of infotainment tech to customers

• BlackBerry QNX announces early access launch of QNX Hypervisor in the cloud on AWS Marketplace for mixed criticality and multi-OS embedded application development

Stellantis N.V. led the creation of the world’s first virtual cockpit platform as part of its Stellantis Virtual Engineering Workbench (VEW) enabling the delivery of infotainment tech to customers 100 times faster than previous processes. The new platform uses the QNX Hypervisor in the cloud from BlackBerry, which is now on early access release via AWS Marketplace within the QNX Accelerate portfolio of cloud-based tools. Stellantis can now create realistic virtual versions of car controls and systems, making them behave just like they would in a real car, but without needing to change the main software that runs them, taking what used to take months to be achieved down to 24 hours in some cases.

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Accessing QNX Hypervisor via AWS Marketplace enables Stellantis to include a virtual cockpit high-performance computing (HPC) simulation into a cloud environment. This industry-first platform for mixed-criticality and multi-OS embedded application development includes QNX Hypervisor Amazon Machine Images (AMIs) and industry-standard hardware interfaces as defined in the VirtIO standard Trout v1.2. With tools such as virtualization of graphics, audio, and touchscreen/mouse/keyboard inputs, the solution offers little to no difference between running QNX Hypervisor-based systems in the cloud versus on real hardware.

Software is a key building block for Stellantis to deliver clean, safe and affordable mobility, as outlined in the Dare Forward 2030 strategic plan, and the driving force behind the AI-powered STLA Brain, STLA SmartCockpit and STLA AutoDrive technology platforms. In 2022, Stellantis selected AWS as its preferred cloud provider for vehicle platforms and the companies began work on Stellantis’ purpose-built, in-house VEW.

Taking a software-driven approach and deploying the QNX Hypervisor in the cloud, Stellantis can accelerate customer feedback sessions, and with minimal effort, replicate the cockpit experience of a particular brand and vehicle, and make changes in real time to optimize the experience for the driver. This real-time feedback, underpinned by low-latency access to the cloud, allows Stellantis to solicit valuable feedback from its customer and developer base to build future infotainment features and applications.

“Software is becoming increasingly crucial in vehicles, leading us to innovate in how we develop and validate it,” said Yves Bonnefont, Chief Software Officer at Stellantis. “With our virtual cockpit, we’re revolutionizing not just our approach, but also that of our suppliers and partners in the industry. Essentially, we’re able to get closer to our customer’s needs through this technology with faster development cycles, faster feedback loops, and quicker delivery of the technology they use and love. It’s a leap towards customer-first innovation and efficiency in the automotive world.”

“We’re delighted to introduce early access availability of our trusted QNX Hypervisor platform in the cloud, leveraging the vendor and platform-neutral VirtIO standard that QNX has long-supported for its importance in creating a true-to-life virtual development environment for embedded software,” said Mattias Eriksson, President, BlackBerry IoT. “Working with Stellantis to launch the world’s first commercial hypervisor in the AWS cloud helps to reduce complexity, accelerate innovation and cut costs on in-car software development throughout the entire product lifecycle.”

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“Software virtualization and abstraction in the cloud is vital to accelerating development and maintaining feature delivery on-pace with consumer demand,” said Wendy Bauer, Vice President and General Manager, Automotive and Manufacturing, AWS. “With BlackBerry’s QNX Hypervisor on AWS Marketplace, Stellantis can easily harness the power of the cloud to reimagine research and development processes, architect more insightful ways to solicit and integrate feedback, and deliver functions faster than before that delight drivers and further the industry.”

Standard VirtIO interfaces are also used by a suite of automotive partners to scale their offerings across OEMs and enable plug-and-play across the OEM landscape. Recognizing the benefits, AWS fully supports the VirtIO industry standard for cloud simulation of cockpit HPCs.

BlackBerry QNX launched QNX Accelerate in January 2023 with its portfolio initially featuring QNX Neutrino RTOS 7.1 and the QNX OS for Safety 2.2.3, each provided as Amazon Machine Images allowing QNX customers to run a QNX OS natively on AWS cloud hardware. The early access release of QNX Hypervisor in the cloud is available now and general availability will be announced later in 2024.

BlackBerry provides intelligent security software and services to enterprises and governments around the world.  The company secures more than 500M endpoints including over 235M vehicles.  Based in Waterloo, Ontario, the company leverages AI and machine learning to deliver innovative solutions in the areas of cybersecurity, safety, and data privacy solutions, and is a leader in the areas of endpoint management, endpoint security, encryption, and embedded systems.

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QNX Sound offers an unparalleled software platform for innovation in audio-based entertainment, comfort, communications and safety features; unlocks new revenue opportunities for automakers

BlackBerry Limited announced the launch of QNX Sound, an innovative development platform that decouples audio and acoustics software from the vehicle hardware to give audio designers and engineers complete creative freedom to deliver new and exciting in-vehicle sound experiences.

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QNX Sound enables automakers to consolidate all audio and acoustic functions seamlessly and cost-effectively within the main software stack of the software-defined vehicle architecture, using pre-integrated and pre-tested core technologies. This includes a complete out-of-the-box library of automotive acoustics functional modules for telephony, safety alerting, noise reduction, sound enhancement, media playback, etc. The software foundation not only provides more control over quality and functionality of these services, but it also includes advanced tuning tools with a graphical programming interface that unlocks endless signal processing creativity. For the first time, this offers an entirely software-driven foundation for automakers to explore new audio-based services and collaborations with technology companies and multimedia content providers to bring new, value-add features into the vehicle, opening new opportunities to create new revenue streams from the activation of optional features – or to upgrades from base audio to a branded premium level – as on-demand or subscription services.

“In the software-defined vehicle age, audio becomes a new playing field for innovation and differentiation,” said John Wall, Senior Vice President, and Head of QNX at BlackBerry. “QNX Sound is the ultimate digital audio platform for the automotive industry and the most comprehensive foundation available for innovation. Through it, we enable automakers to explore new business opportunities and exciting collaborations that will truly appeal to and excite the end user.”

QNX Sound is the only software-defined audio and acoustics solution for the automotive industry that has been fully tested in production and pre-integrated in next generation System on Chip (SoCs). The platform is pre-integrated with BlackBerry QNX Real Time Operating System (RTOS) and QNX Hypervisor and includes an audio extension mechanism that allows 3^rd party signal processing suppliers to compile and deploy their own c-code algorithms. Furthermore, it is pre-tested with leading measurement and simulation equipment suppliers and industry open standards, like VirtIO to support sound design, tuning and signal flow design capabilities for exciting new features both in the cloud and, eventually, on hardware targets.

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Hendrik Hermann, Vice President Automotive at Dirac, shares his enthusiasm for revolutionizing car audio, saying: “At Dirac, our passion is to unlock the untapped potential in every audio system, particularly in cars, where great sound is a vital part of the experience. Working hand in hand with the team at BlackBerry QNX, we’ve integrated a fully scalable Dirac plug-in featuring all our technologies that seamlessly integrate with the QNX Sound platform. This collaboration empowers OEMs with easy access to our solutions, maximizing fidelity and immersion, and offers the flexibility to continually enhance and refresh the in-car audio experience for listeners.”

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[To share your insights with us, please write to sghosh@martechseries.com]

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• Only 9% of respondents say they are satisfied with the in-store shopping experience; only 14% say the same for online shopping.

• Roughly 80% of consumers surveyed who haven’t used AI for shopping expressed an interest in using the technology for various aspects of their shopping journey.

As the retail landscape faces mounting pressure from evolving consumer expectations and economic headwinds, a new global study from the IBM Institute for Business Value, reveals a widening gap between shopper demands and the current retail offering.

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The third biennial consumer study*, “Revolutionize retail with AI everywhere: Customers won’t wait,” surveyed nearly 20,000 global consumers and reveals a dissatisfaction with retail experiences, with only 9% of consumers surveyed saying they are content with in-store and 14% content with online shopping.  Yet technology could play an important role in enhancing the overall shopping experience, with over half of the respondents indicating they are eager for AI enhancements like virtual assistants (55%) and AI applications (59%) as they shop. Influenced by inflation, six in ten consumers surveyed also say inflation has impacted how they shop, with 62% saying that price is a top reason they switch stores or brands.

“In the face of rapidly shifting consumer expectations and the stark realities of today’s economic picture for households, the retail sector is presented with an ongoing challenge—and an unprecedented opportunity,” said Luq Niazi, Global Managing Director at IBM. “We are seeing that today’s consumers, faced with more choices and channels than ever, are increasingly making their purchasing decisions based on the cost and the quality of experiences that retailers provide. The IBM IBV Consumer 2024 Study underscores an opportunity for retailers to integrate AI and other technologies into both digital and physical shopping experiences to meet these changing consumer demands and their economic challenges. Leveraging advances in AI technologies, retailers can forge ahead into a new era of commerce and fulfilment, leading with innovation to create shopping experiences that are intuitive, unified, personalized and efficient.”

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Noteworthy findings from the study include:

• In-Store Experience Lacks Luster: Despite a preference for physical stores by 73% of those surveyed, only 9% are satisfied with the in-store experience. Consumers surveyed want greater variety of products available (37%), more information about products (26%), and faster checkout (26%) in stores. Most consumers surveyed (65%) are supplementing their in-store experience by using mobile apps while shopping — demonstrating a trend toward a digitally integrated in-store experience.
• Online Shopping Shortcomings: Online retail isn’t immune to criticism; two-thirds of consumers surveyed discover new products via the web, yet many have expressed dissatisfaction with their online shopping journey, citing challenges finding the products they want (36%), not enough information about products (33%), and a cumbersome return process (33%).
• Consumers Desire Digital Integration: Consumers surveyed showed a strong interest in using AI technology to enhance various aspects of their shopping. Most consumers (59%) said they would like to use AI applications as they shop and 4 in 5 consumers who haven’t used the technology for shopping reported an interest in trying it. Personalization and targeted offerings are in demand, with 52% of consumers surveyed interested in receiving information, advertisements, and offerings from stores that are relevant to their specific interests. Yet there remains a stark satisfaction gap for current AI assistant users surveyed. Only about one-third of responding consumers who have used virtual assistants are satisfied with the experience and nearly 20% were so disappointed that they don’t want to use virtual assistants again, signaling a mismatch between current tech offerings and shopper expectations.
• Economic Forces at Play: Economic challenges, particularly inflation, are influencing shopping behaviors. Consumers surveyed are seeking flexible payment options, with 55% desiring more varied payment options and 46% reporting they would like to pay for their purchase in installments. As inflation and economic uncertainty pinch pocketbooks, 62% of consumers surveyed also say price is a top reason they would switch stores or brands.

Revolutionize retail with AI everywhere: Customers won’t wait underscores the urgent need for retailers to innovate and integrate advanced technologies, such as AI, to elevate the shopping experience. The study also serves as a resource for retailers, outlining actionable strategies to help these businesses meet changing consumer demands.

Connect with IBM at NRF 2024: Generative AI is taking center stage for IBM at NRF’24. Join us as we delve into how the technology is enhancing everything from customer engagement and personalization to operational efficiency. We’ll share innovative examples in marketing, supply chain management, and sustainability. IBM industry experts will be at Booth #5006. Stay updated via our NRF webpage. #NRF2024

*Study Methodology:
The IBM Institute for Business Value surveyed 20,000 consumers across 26 countries on their digital habits, their use of AI and generative AI, and their expectations for brands. Responses were analyzed by age group, income and purchasing habits across product categories.

The IBM Institute for Business Value, IBM’s thought leadership think tank, combines global research and performance data with expertise from industry thinkers and leading academics to deliver insights that make business leaders smarter. For more world-class thought leadership,

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Pacesetting SoC Products for Automotive, Data Center, and Smart Devices in the Smart Cities, IoT and Sustainability Zone, North Hall,
Booth 9971

Socionext, an innovative custom SoCs provider with a distinctive “Solution SoC” business model, will showcase its leading-edge technologies and products at CES 2024, Jan. 9-12.

Socionext will be at booth 9971 in the Smart Cities, IoT, and Sustainability Zone in the North Hall of the Las Vegas Convention Center. Among Socionext’s featured technologies and solutions will be the following:

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Custom SoCs
With extensive experience in custom SoC development, Socionext established a distinctive Solution SoC business model that provides SoCs that are both customized and fully optimized to our customers’ needs. The company offers the optimal combination of IPs, design expertise, software development, and support to implement large-scale SoCs to meet the most demanding and rigorous performance requirements in automotive, data center, and smart device applications.

With the Solution SoC model, Socionext delivers products and support that enable applications in the automotive segment, such as ADAS sensors, central computing, networking, in-cabin monitoring, satellite connectivity, and infotainment. In the data center segment, they enable high-performance compute, storage and networking applications. In the consumer space, they allow a range of smart devices, from earbuds to smart speakers and smart glasses to AR/VR headsets.

Low Power 60GHz Radar Sensor Solutions
The automotive-grade SC1260 series 60GHz RF CMOS sensor, which was nominated for awards at the Sensors Converge Show in Santa Clara in June 2023, can support multiple in-cabin use cases, including seat occupancy monitoring, child presence detection, and theft prevention.

The SC1240 series RF sensor for consumer applications allows users to easily enable multiple–person detection, gesture detection, and other high-precision sensing.

Socionext’s highly-integrated CMOS radar transceivers incorporate antennae-in-package and an embedded signal processing unit for distance, angle, and presence detection in a small form factor package without requiring radio frequency or advanced signal processing design skills.

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Smart Display Controller for Automotive
The Socionext’s SC172x is a highly integrated, ASIL-B conformant graphics display controller featuring built-in mechanisms to ensure safety-critical content is delivered in compliance with the standards required by today’s automotive display applications.

SoCs for Smart Devices
Socionext’s Solution SoC model enables high-performance SoC for video applications that features a best-in-class image signal processor with built-in low-light support, coupled with an AI acceleration engine and a high level of system integration. Built using an advanced, low power manufacturing process, the 8K processor can be customized through silicon, packaging, and software suitable for a wide variety of applications.

Creating a proprietary chip requires a complex, highly structured framework with a complete support system to address each phase of the development process.

Socionext’s “Solution SoC” business model embodies the company’s deep understanding of SoC architectures and technologies – including IP, EDA tools, packaging, quality control and manufacturing – as well as its ecosystem of suppliers that lets customers develop feature-rich custom SoCs while maintaining ownership of key differentiating technologies that can deliver significant competitive advantage.

With extensive experience in custom SoC development, Socionext uses state-of-the-art process technologies to produce SoCs optimized for customer requirements.

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[To participate in our interview series, please write to us at sghosh@martechseries.com]

The post Socionext Will Display Its Advanced SoC Solutions, Sensors, Display Controller and Image Processor at CES 2024 appeared first on AiThority.

One Network’s leading control tower deployed on its Digital Supply Chain Network to consolidate and reduce freight rates, reduce shipment handling and storage costs, and reduce manual processes

One Network Enterprises (ONE), the leading global provider of intelligent control towers and the Digital Supply Chain Network, is pleased to announce that ALDI International Buying Asia is live with ONE’s Intelligent Control Tower on the Digital Supply Chain Network. This helps ALDI improve its logistics operations by centralizing global shipping volume, increasing cost transparency, and improving its control over the movement of goods throughout the supply chain. This enables ALDI to develop a strategic ocean freight procurement strategy to manage their global shipments of goods better.

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ONE’s Intelligent Control Tower was chosen based on its range of functionality, combined planning and execution architecture, its embedded AI assistant, and its ability to deliver the highest quality services to ALDI. With the ONE Control Tower and NEO Platform, ALDI is integrating its global network of logistics partners and suppliers around a single data model at the core of ONE’s network of networks, enabling real-time collaboration across trading partners, workflows, and applications.

“We have selected the ONE Control Tower based on the depth of its capabilities and its ability to manage our freight end-to-end. We are confident that the solution can handle the complexities of our supply chain, starting with overall visibility and collaboration,” says Fritz Walleczek, Managing Director of ALDI International Buying Asia. “This will greatly improve effectiveness in collaborating with our suppliers and being more responsive to our customers.”

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“ALDI is a leading global business, and rare in combining great products at the lowest possible prices. I am very excited that ONE can add value to its operations with our Intelligent Control Tower and Digital Supply Chain Network. Collaboration through enhanced visibility and execution is how organizations like ALDI will increase competitiveness, particularly during challenging times,” said Greg Brady, Executive Chairman and Founder of One Network Enterprises. “We look forward to working with ALDI on their journey to even better customer service levels through a more effective, agile, and responsive supply network.”

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[To share your insights with us, please write to sghosh@martechseries.com]

The post ALDI’s Digital Supply Chain Leap in Asia with NEO Platform appeared first on AiThority.

Amesite Inc., a leading artificial intelligence software company offering a cloud-based learning platform for business and education markets, announced that it will be collaborating with Scottsdale Unified School District (SUSD) to provide opportunities for teacher training on use of AI technology in a new contract.

The teacher training will focus on providing comprehensive instruction on use of AI. It will integrate teacher feedback, leveraging Amesite’s cutting-edge AI technology to enhance collaboration and communication.

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Dr. Ann Marie Sastry, CEO of Amesite, commented, “Amesite is proud to partner with SUSD to advance AI practices for teachers. Our cutting-edge solution will equip educators with vital AI skills, paving the way for nationwide adoption. This marks a significant step in our mission to innovate teaching and learning, and we’re ready to bring other districts on board as we scale up.”

Scott Menzel, Superintendent of Scottsdale Unified School District, also shared his thoughts on this partnership. “We are committed to making sure that our teachers have all of the support they need to deploy AI-enhanced methods safely and effectively. Piloting Amesite’s state-of-the-art AI platform will enable us to implement more dynamic and effective teaching methods. This work is a testament to our ongoing commitment to investing in our educators, who are the cornerstone of our students’ success.”

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Scottsdale Unified School District, serving over 22,000 students across 29 campuses, is a premier educational institution recognized for its innovative programs and commitment to academic excellence. This partnership with Amesite aims to set a new standard in educational training, further enriching the learning environment for both teachers and students alike.

Founded in 1896, SUSD has a long-standing tradition of educational excellence, adapting over the years to meet the evolving needs of its community. This partnership with Amesite is another step in its continuous pursuit of providing the best educational opportunities and outcomes.

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[To share your insights with us, please write to sghosh@martechseries.com]

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American Heart Association consortium advances development of evidence-based health tech solutions

UpDoc, a physician-led, AI-enabled chronic disease management company pioneering Remote Patient Intervention (RPI), has joined the American Heart Association Center for Health Technology & Innovation’s (the Center) Innovators’ Network. The Center is focused on building and fostering health technology relationships to develop innovative and scalable solutions.

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The Innovators’ Network is a consortium that connects entrepreneurs, providers, researchers and payers. Innovators’ Network members also have access to the Association’s digital guidelines, recommendations, and best-in-class science as they develop digital healthcare technologies. Members collaborate with the Center in different ways, including the building of models for clinical outcome studies, lowering the significant cost of developing those studies independently, helping connect the science to technology, and providing evidence that a digital platform improves healthcare outcomes – a key concern for providers and payers.

“The Center aims to advance the rapid, efficient, and effective development of healthcare technology,” said Robert A. Harrington, M.D., FAHA, volunteer past president of the American Heart Association (2019-2020), chair of the American Heart Association’s Health Tech Advisory Group for the Center and the Stephen and Suzanne Weiss Dean of Weill Cornell Medicine and provost for medical affairs of Cornell University. “It’s incredibly exciting to see UpDoc leveraging this consortium to broaden and deepen their engagement in this arena.”

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“UpDoc aims to deliver an AI provider to every patient’s home through an accessible technology that improves access to high quality, affordable care. Leveraging the AHA network for clinical guidance and expertise will empower our mission to pioneer Remote Patient Intervention, move the needle on outcomes, and expand access to safe and effective care. We are delighted to join this esteemed network and look forward to continued collaboration as we build the future of medicine together,” said Sharif Vakili UpDoc CEO.

UpDoc is a physician-led, AI-enabled chronic disease management company pioneering Remote Patient Intervention. The company employs state-of-the-art large language models optimized for clinical accuracy and patient engagement to create “AI encounters” that augment physician encounters.

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M55M1 Microcontroller With Secure On-Device AI Capabilities for Embedded Applications

Nuvoton is pleased to announce its new Endpoint AI Platform to accelerate the development of fully-featured microcontroller (MCU) AI products. These solutions are enabled by Nuvoton’s powerful new MCU and MPU silicon, including the NuMicro® M55M1 equipped with Ethos U55 NPU, NuMicro® MA35D1, and NuMicro® M467 series. These MCUs are a valuable addition to the modern AI-centric computing toolkit and demonstrate how Nuvoton continues to work closely with Arm and other companies to develop a user-friendly and complete Endpoint AI Ecosystem.

Development on these platforms is made easy by Nuvoton’s NuEdgeWise: a well-rounded, simple-to-adopt tool for machine learning (ML) development, which is nonetheless suitable for cutting-edge tasks. Together, this powerful core hardware, combined with unique rich development tools, cements Nuvoton’s reputation as a leading microcontroller platform provider.

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These new single-chip-based platforms are ideal for applications including smart home appliances and security, smart city services, industry, agriculture, entertainment, environmental protection, education, highly accurate voice-control tasks, and sports, health, and fitness.

New ML-Focused Hardware With NPU: NuMicro M55M1

The NuMicro M55M1 series microcontroller is targeted at machine learning applications, aided by its Ethos-U55 NPU (Neural Processing Unit) and on-device AI features suitable for embedded applications. This MCU lets the system watch for events – based on image sensor, microphone, and sensors – while in low-power mode, without waking up the central processor. The M55M1 MCU includes an ML model protection mechanism that enhances security by safeguarding ML intellectual property against potential malicious hacking attempts. These are some of the first processors to support Arm Helium technology, which provides a significant performance boost for machine learning (ML) and digital signal processing (DSP) applications in small, low-power embedded systems.

Edge IIoT Gateway Solution: NuMicro MA35D1

The MA35D1 series is a heterogeneous multi-core microprocessor for high-end Edge IIoT Gateway, based on a dual-core 64-bit Arm Cortex-A35 core at 800 MHz and a 180 MHz Arm Cortex-M4. These high-performance cores facilitate Tiny AI/ML edge computing.

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The Versatile M467, With IoT Applications and Great Connectivity

The M467 series is a 32-bit microcontroller based on the Arm Cortex-M4F core with a built-in DSP instruction set and single precision floating point unit (FPU). It is ideal for a wide range of applications: smart home appliances, IoT gateways, industrial control, telecommunications, and data centers.

In IoT tasks, the M467 can be enhanced with a rich set of connectivity, I/O, and security peripherals, from Ethernet 10/100 MAC to hardware encryption, decryption, and key storage. With the M467’s broad built-in I/O support, users can choose only the precise hardware extensions they need for their particular applications. The M467 also supports HyperRAM. In AI/ML applications, the 64MB of HyperRAM provides the flexibility to handle different ML models with varying memory size or density requirements. HyperRAM also offers power-saving, suitability for available bandwidth, ease of use, and flexible expansion of memory options.

Strong Development Support

Fully-featured development boards are available for all of the above hardware applications. These are supported by Nuvoton’s deep development tools, development environment, and enthusiastic support. For example, AI application development with NuMaker MA35D1 not only enables efficient machine learning projects, such as image classification but also presents analysis to the user intuitively via the Human Machine Interface (HMI). Meanwhile, the NuMaker-IoT-M467 development board is specifically designed for IoT applications of the M467 MCU.

NuEdgeWise ML IDE Makes TinyML Development Simple

Nuvoton’s NuEdgeWise IDE (Integrated Development Environment) is a machine-learning tool designed for TinyML development. The IDE supports the four key stages of ML application development: labeling, training, validation, and testing. NuEdgeWise leverages the popular Jupyter Notebook platform, allowing developers to train and deploy models on Nuvoton chips using TensorFlow Lite. This makes TinyML applications more accessible and easier to implement.

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[To share your insights with us, please write to sghosh@martechseries.com]

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