TIER IV, a pioneer in open-source autonomous driving (AD) technology, proudly announces the initiation of the Co-MLOps (Cooperative Machine Learning Operations) Project. This new endeavor is aimed at scaling the development of AI (Artificial Intelligence) for autonomous driving. The deployment of the Co-MLOps Platform, developed under this project, will enable the global sharing of managed sensor data, including camera images and LiDAR (Light Detection and Ranging) point clouds, sourced from various regions. Furthermore, the Co-MLOps Platform will offer MLOps functions and Edge AI reference models, empowering partner companies to enhance their proprietary AI for autonomous driving.

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TIER IV is set to exhibit edge AI models at CES 2024 in Las Vegas, Nevada, from January 9-12, following a successful initial proof of concept (PoC) test conducted in 2023 across eight global regions, including Japan, Germany, Poland, Taiwan, Turkey, and the United States. The PoC test utilized video data collected from these regions to evaluate the perception capabilities of multitask Edge AI models, which have been optimized to operate at less than 10W of power consumption. This showcase at TIER IV’s booth will highlight the fruits of this innovative project.

Conventional Challenges

In the development of AI for autonomous driving, large datasets are essential to achieve competitive performance levels. Historically, companies and research institutions have independently collected data and engaged in similar technology development, leading to overlaps in database construction and development processes. Furthermore, limited resources for setting up development environments and data collection have made it challenging for some companies to implement development processes that are robust enough to achieve desired performance levels. This has impacted the scalability of technological development across the industry.

Platform Overview

TIER IV is leading the development of the Co-MLOps Platform, set to serve as a foundation for various companies and research institutions to partake in the development of AI for autonomous driving at an industry-leading level. This initiative aims to catalyze technological development that was previously hindered by insufficient scalability and to foster open innovation through open collaboration. The platform will be structured to fulfill the following objectives:

• Ensure that data collected by companies is shared with appropriate privacy and security safeguards.
• Manage the utilization of MLOps functionalities, crucial for the development of AI for autonomous driving, on the large-scale datasets shared among companies.
• Provide opportunities for companies to utilize Edge AI reference models, created using common MLOps functionalities, in their own development of AI for autonomous driving.

The development of the platform is being propelled by leveraging the diverse services offered by Amazon Web Services (AWS). AWS’s key services such as storage, databases, and computing, as well as its extensive global infrastructure, will serve as the cornerstone for the efficient and stable operations. The platform will also adopt a cloud-native approach, eventually supporting updates to the recognition models via Over the Air (OTA). By leveraging the power of AWS, the Co-MLOps Platform will offer cutting-edge technology and a stable infrastructure, thereby accelerating the development of innovative autonomous driving AI.

The platform fosters differentiation by empowering participating companies to retain their proprietary technologies, functional safety and development processes, and quality control measures. Additionally, integrating the outputs developed on this platform with the Open AD Kit, defined by the Autoware Foundation based on the SOAFEE framework, will expedite software development towards SDV mass production while maximizing the utilization of the Arm® Automotive platform.

“We believe this project will catalyze new collaborations and competitions in AI development within the mobility industry, leading to various innovations, particularly in recognition technologies,” said Shinpei Kato, founder, CEO and CTO of TIER IV. “Through collaboration with many partners, we aim to develop the world’s leading AI technologies for autonomous driving and promote the rollout of safe and reliable AD technologies.”

“We anticipate that the construction of a world model will be further boosted by this project, by utilizing a diverse range of large datasets collected worldwide,” said Professor Yutaka Matsuo of the University of Tokyo’s Graduate School of Engineering. “The aim is for our joint research to lead to further development of practical applications for autonomous driving through the integration of generative AI technology. We aim to introduce new methods that will enhance the performance of autonomous driving AI.”

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“We support the vision of this project that aims to solve common challenges in the mobility industry and accelerate the creation of innovation,” said Bill Foy, Director of Automotive Solutions and GTM at AWS. “By providing comprehensive support using various AWS services and global infrastructure, we will contribute to the long-term success of this project.”

“Software is changing what it means to own a car today, and to deliver a software-defined vehicle to mass markets requires expertise and collaboration from across the industry, such as through initiatives like SOAFEE,” said Robert Day, SOAFEE SIG Governing Body representative and director of automotive partnerships, Automotive Line of Business, Arm. “The Co-MLOps platform project is another important example of leveraging expertise from across the industry to encourage and further accelerate the development and deployment of software-defined vehicles.”

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Rajant Corporation, the pioneer of Kinetic Mesh wireless networks, along with Rajant Health Incorporated (RHI), a division of Rajant that is developing cutting-edge technology to provide health insights on-demand, will unveil its new edge AI platform during the Consumer Electronics Show (CES) in Las Vegas Venetian Meeting Center in Room Zeno 4610 on January 9^th – 12^th. Known as the Cowbell, the edge AI platform is a distributed computing hub and platform-as-a-service to streamline and simplify the delivery and management of AI applications at the edge.

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According to Muthu Chandrasekaran, Ph.D. RHI VP of Artificial Intelligence, “There has been explosive growth in the number of connected devices in recent years, and without edge computing, the amount of data generated from these devices would severely overwhelm and adversely impact most of today’s enterprise networks. Furthermore, the inflated costs and latencies introduced by the cloud render cloud-hosted AI-based low-latency decision support systems almost impossible, not to mention that the productization of AI and its maintenance is very difficult and complex. The Cowbell platform simplifies this complex problem by providing software, hardware, and networking infrastructure necessary to bring distributed cloud native computing to the edge with what we’re calling MLOps-in-a-Box. By leveraging Rajant’s patented InstaMesh networking technology, the Cowbell platform facilitates a secure, fault-tolerant, highly available distributed computing cluster over mesh, the first of its kind. Scaling the cluster is automatic when additional Cowbells are added to the deployment.”

Those visiting Rajant at CES will also be introduced to Q-Stat, a cutting-edge wearable device created to transform your work experience. The Q-stat’s flexible design strategy allows for all types of different packaging, intended to serve various markets, from people to animals. Packed with advanced sensors, including skin temperature, O₂, pulse rate and EKG, along with integrated Wi-Fi and BLE in a sleek, compact design, the Q-stat offers a seamless and enriching experience that caters to your safety and wellness needs.

Rajant Health EVP Giana Schena, Ph.D. shares, “RHI will offer demonstrations of Trovomics, a user-friendly platform designed to provide a fast, no-code solution for omics analysis, empowering researchers to easily and quickly turn their sequencing data into stunning, interactive visualizations. Trovomics has received outstanding feedback and results from academic researchers in biomedical science since its debut, and we are thrilled to bring the platform to CES to show individual users the power to investigate their own data.”

Robert Schena, CEO of Rajant and RHI, states, “What we have accomplished here is an ecosystem that includes the enterprise Edge (Cowbell), personal Edge (Q-Stat), and analytics (Trovomics). This ecosystem is called Angelverse because we at Rajant believe that people should own and control their own data locally, choosing where, when, and who they wish to share it with. This ecosystem fully integrates Rajant’s industry-leading Kinetic Mesh and the Reios IoT suite of solutions offered by Rajant Italia SRL.”

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Rajant EVP of Sales and Marketing Geoff Smith adds, “The Cowbell and Q-Stat unveiled at CES will be featured as fully integrated solutions with the Rajant Kinetic Mesh family of wireless networking BreadCrumb solutions and Kinetic Mesh-enabled Reios IoT platform, which provides comprehensive automated operational intelligence anywhere, which is fast and easy to deploy. Reios brings intelligent insights to all facets of an operation through various devices that support the platform’s different applications – Smart Lighting, sTrack, IoT BMS, sDesk, and Smart Picking.

More on Cowbell:

Housed in a rugged industrial-grade IP-rated enclosure, the Cowbell is a versatile platform perfect for indoor and outdoor use. It constitutes a powerful multi-core CPU and GPU with a plethora of wired (Serial, Ethernet) and wireless (Bluetooth, Wi-Fi, LoRa, Rajant Kinetic Mesh) connectivity interfaces and high-speed storage enabling ingestion, hardware-accelerated processing, and network-resilient transfer of multi-modal data from disparate sensors and peripherals. Applications deployed on the Cowbell can leverage the platform’s microservices-based software architecture and foundational services to serve custom machine learning models and facilitate dynamically configurable data pipelines. This state-of-the-art solution provides all the necessary data APIs to bring customers’ own (containerized or non-containerized) applications into the platform. It automates their deployment and orchestration to ensure availability. Rajant’s Kinetic Mesh ensures secure network transport and complete network isolation when needed. The Cowbell offers an integrated centralized cluster and applications management plane with a simple user interface, providing a seamless cluster provisioning, management, and application deployment experience. Secure remote access is enabled by a lightweight zero-trust VPN solution. Take advantage of the application-level logs, cluster- and node-level resource consumption metrics, and other dashboards for full observability of the health of the cluster and applications.

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The month-long program has two levels that developers need to complete for a chance to win VIP passes to Microsoft’s upcoming AI Tour

Microsoft announced the launch of an initiative that aims to skill 100,000 developers in India in the latest AI technologies and tools. The program offers comprehensive learning experience that helps developers acquire and demonstrate the relevant skills needed to execute critical projects using AI technologies that align with business goals and outcomes. With AI revolutionizing the way we work and live, India needs a skilled workforce that can use AI to solve complex problems and create value. Through programs like AI Odyssey, Microsoft is offering opportunities for developers to build solutions for India’s growth and showcase their talent to solve real-world problems. To participate in the AI Odyssey, developers need to register on aka.ms/AIOdyssey and access the learning modules and resources. The month-long program is open to all AI enthusiasts in India, regardless of experience level or background. The program has two levels that participants need to complete by January 31, 2024. The first level of the program educates participants on how to use Azure AI services to create and deploy AI solutions for different scenarios. This will give them access to useful resources, code samples, and guides to master practical AI skills.

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The second level of the program challenges participants to prove their AI skills by completing an online assessment with interactive lab tasks that earns them Microsoft Applied Skills credentials, a new verifiable credential that validates their ability to solve real world problems with AI. Participants completing both the levels of challenges will also stand a chance to win a VIP Pass to attend the Microsoft AI Tour in Bangalore on February 8, 2024, and witness the revolutionary impact of generative AI. The AI Tour is a one-of-a-kind event that showcases how generative AI can enable new forms of creativity, collaboration, and problem-solving. The tour features keynote sessions, demos, and workshops, where developers can learn from Microsoft experts and partners, as well as network with peers.

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Irina Ghose, managing director, Microsoft India, said, “AI is the future of innovation and India is leading the way with its tech talent. The Microsoft Applied Skills credential will help developers demonstrate their competence and creativity in the most in-demand AI skills and scenarios. We welcome all developers to join us in creating meaningful AI solutions that will contribute to India’s economy.”

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Nanotronics, the Industrial AI company announced a new strategic partnership with OrbiMed, a leading global life sciences investment firm. As part of the transaction, OrbiMed is investing in Nanotronics’ proprietary technology to advance quality control and precision manufacturing across the healthcare and biotech industries.

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“AI is redrawing the healthcare landscape and the ability to optimize workflows, automate inspection, and reduce costs associated with R&D and manufacturing will result in better pharmaceutical quality, build more resilient supply chains, and reduce problems with production such as contamination”

“AI is redrawing the healthcare landscape and the ability to optimize workflows, automate inspection, and reduce costs associated with R&D and manufacturing will result in better pharmaceutical quality, build more resilient supply chains, and reduce problems with production such as contamination,” said Matthew Rizzo, General Partner of OrbiMed. “We are confident that our investment in Nanotronics will help manufacturers across the healthcare spectrum increase yields and decrease their carbon footprint.”

“As Nanotronics continues to expand on the industries we serve globally, we are pleased to place a stronger emphasis on improving manufacturing quality and production for the industries advancing the future of our humanity,” says CEO and cofounder, Matthew Putman. “The sooner healthcare companies embrace Artificial Intelligence for manufacturing and quality control, the quicker we will see improved patient outcomes.”

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Nanotronics is an Industrial AI company that deploys advanced optical solutions to optimize manufacturing procedures, effectively refining, and expediting assembly for any industry relying on a precision process for production. Nanotronics uses hardware and software solutions to clean, sort, and manage existing data as well as data collected in real-time across sensors placed strategically within customers’ plants. This data is stored on local servers to ensure maximum security. Nanotronics’ sophisticated AI system correlates data points into actionable insights for manufacturers to correct flaws in the production process while also predicting future errors. This results in an autonomous factory that will drive up yields, decrease waste, and encourage implementation of ESG standards. Nanotronics helps customers bring lab experimentation and R&D innovation to devise scalable business solutions and advance our industrial future.

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Medable Inc., the leading technology provider for modern clinical trials, announces new intelligent automation technology applied across its clinical trials platform to cut standard trial build timelines by at least half. Early application of the technology in electronic clinical outcomes assessment (eCOA) deployments – a major delay to study startup industry-wide – is groundbreaking. By automating laborious, manual tasks such as testing, Medable saves substantial time and removes eCOA from the critical path to trial go-live.

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Medable’s New Intelligent Automation Capabilities Cut Clinical Trial Technology Deployment Timelines by 50% #clinicaltrials #ai #clinicalresearch #studystartup #biosciences #healthcare #drugdevelopment

Medable’s new AI and automation capabilities catapult the company to the forefront of automating clinical trial operations and align with the industry’s perennial need to launch studies faster. Now, sponsors can eliminate common gridlocks caused by conversion, configuration, validation, and quality engineering. Top-10 global pharmaceutical companies are already benefiting from Medable’s novel technology, shaving weeks off build times.

As part of a broader roadmap incorporating AI and intelligent automation, Medable’s updated eCOA capabilities include an auto-configuration tool that produces standard configurations, such as schedules of assessments, anchor dates, and patient flags, in minutes. Medable’s auto-validate tool also eliminates weeks of tedious testing to automatically deliver a downloadable Configuration Validation Report (CVR) that validates the quality of study builds.

“We are reimagining the way clinical trials are deployed by eliminating many of the biggest process bottlenecks,” said Michelle Longmire, CEO and co-founder of Medable. “Starting with eCOA, we are accelerating clinical trials while helping to improve data quality – ultimately enabling our vision of a one-day study start-up to help deliver effective treatments and cures to patients faster. In 2024, expect to see more innovative technologies and new ways of delivering streamlined, patient-centric trials from Medable.”

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Medable, which ranked in the top 8% of software companies on the 2023 Inc. 5000, has deployed its software-as-a-service platform in more than 300 decentralized and hybrid clinical trials in 60 countries, serving more than one million patients and research participants globally. Customers have achieved impressive results – including 200 percent faster enrollment and 50 percent cost reductions. A Tufts Center for the Study of Drug Development study shows that, on average, decentralized trials can achieve net financial benefits from five to 13 times for Phase II and Phase III trials, equating to roughly $10 million ROI and $39 million ROI respectively.

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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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Sibros unveils ‘On the Track and Beyond’ Experience to showcase its leading-edge Deep Connected Platform, interactive Race Simulator, and joint partner solutions

Sibros, leaders in Software-Defined Vehicle management systems announced its presence and activities for CES 2024, from January 9-12 at the Las Vegas Convention Center, West Hall, Booth #4054.

Sibros will showcase Deep Connected Platform, a production-ready technology foundation helping automakers transform fleet data into actionable insights, and orchestrate seamless software updates and diagnostic commands at a flexible scale. CES attendees are invited to experience Sibros’ “On the Track and Beyond” theme this year, offering an immersive in-booth tour that will include:

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• Racing Simulator: Visitors can compete in a virtual racing simulator and see “live-as-you-drive” vehicle performance analytical, powered by Deep Logger
• Theater Sessions: Various partner-led sessions on how OEMs are accelerating time-to-market for their software-defined products using embedded connectivity, cloud, mobile apps, AI, and Machine Learning.
• Partner Showcases: Joint partner-ready solution demonstrations encompassing vehicle telematics, digital cockpit, and connected car apps.

“CES 2024 stands at the forefront of automotive software innovation, marking a new era in how vehicles connect, communicate, and evolve,” said Hemant Sikaria, CEO of Sibros. “We’re thrilled to showcase the latest advancements of our Deep Connected Platform that provides OEMs new ways to enhance software-defined vehicle functionality and unlock data-driven offerings and revenues. Our theme this year, ‘On the Track and Beyond,’ reflects our commitment to pushing the boundaries of connected technologies and its use in real-world applications,” added Sikaria.

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The partners and solutions pre-integrated with the Sibros Deep Connected Platform with a presence at the Sibros booth include:

• Accolade Electronics: AIS-140 certified telematics hardware
• ACTIA: ACU6-Pro Automotive and Actia ACU6-Pro Off Highway
• Continental Engineering Services: Automotive IoT Gateway
• Foxconn: connected car mobile app and OEM services tools
• Android Automotive OS: automotive operating systems
• iWave: All telematics controllers
• Marelli: smart SDV cockpit domain controller
• Pricol: EV-ready telematics hardware solutions

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BrainChip Holdings Ltd the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, will provide an exclusive opportunity for guests of CES 2024 to see the latest demonstrations of its Akida technology in action.

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“We are excited to reveal our latest innovations at CES 2024”

Visitors to the BrainChip Suite will have the unique opportunity to experience hyper-efficient, small-footprint, scalable solutions that accelerate neural networks for real-time problem-solving, all independent of the cloud. The applications range from retail to industrial, healthcare, automotive and other emerging areas.

The showcase includes a preview of BrainChip’s newly-announced Edge Box built in collaboration with VVDN Technologies. Designed for vision-based AI workloads, the compact Edge Box is intended for video analytics, facial recognition, and object detection, with the ability to extend intelligent processing capabilities to inputs from various other sensors.

Other featured demos will spotlight cutting-edge applications, such as the use of time-of-flight sensors for secure recognition, in-cabin experience and safety, and advanced anomaly detection in preventative maintenance for industrial applications. Additional exhibits include traditional Edge AI necessities, like visual wakeup of designs and keyword and phrase recognition, implemented in conjunction with platforms, such as the Microchip SAM V71 Ultra Board, and with ecosystem partners like NVISO. Numerous other use cases and partner platform demonstrations will underscore the versatility and ease of adoption of BrainChip’s technology as a platform that enables innovators to radically develop more capable, intelligent devices and services.

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As part of the CES experience, BrainChip is extending an exclusive invitation to thought leaders and industry experts to join a conversation on “All Things AI.” This engaging discussion will be recorded for a special edition of the BrainChip podcast, offering insights into the latest trends, challenges, and opportunities in the AI space.

“We are excited to reveal our latest innovations at CES 2024,” says Sean Hehir, CEO at BrainChip. “By showcasing the tangible applications of neuromorphic technology to Edge AI and the ease of complementing or enhancing today’s platforms to deliver it, we are establishing the platform for innovators and thought leaders to revolutionize the evolving AI landscape.”

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Elliptic Labs a global AI software company and the world leader in AI Virtual Smart Sensors currently deployed in over 500 million devices, is deploying its AI Virtual Proximity Sensor INNER BEAUTY on HONOR’s newest smartphone – the HONOR X50 GT – for the global market. Elliptic Labs’ partner Qualcomm will run the HONOR X50 GT smartphone with the Snapdragon 8+ Gen 1 chipset. The contract for this launch was previously announced by Elliptic Labs.

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“Elliptic Labs’ AI Virtual Smart Sensor Platform is now driving a major part of HONOR smartphones, spanning for entry level to flagship designs”

“Elliptic Labs’ AI Virtual Smart Sensor Platform is now driving a major part of HONOR smartphones, spanning for entry level to flagship designs,” said Laila Danielsen, CEO of Elliptic Labs. “Thanks to our leadership in AI/ML, ultrasound technology, and sensor fusion, HONOR’s continued selection of the AI Virtual Smart Sensor Platform demonstrates our joint commitment to driving innovation and modern smartphone design. The largest smartphone makers in the world like HONOR look to Elliptic Labs to deliver products that are greener, smarter, and more human-friendly.”

AI Virtual Proximity Sensor INNER BEAUTY

Elliptic Labs’ AI Virtual Proximity Sensor detects when a user holds their phone up to their ear during a call, allowing the smartphone to turn off its display and disable its screen’s touch functionality. This keeps the user’s ear or cheek from triggering unwanted actions during the call, such as hanging up or dialing numbers. Turning off the screen also helps conserve battery life.

Proximity detection is a core capability that is used in all smartphones, but Elliptic Labs’ AI Virtual Proximity Sensor is a unique, software-only solution that delivers robust proximity detection without the need for a dedicated hardware sensor. By replacing hardware sensors with software sensors, the AI Virtual Proximity Sensor reduces device cost and eliminates sourcing risk.

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INNER BEAUTY is a registered trademark of Elliptic Labs.

AI Virtual Smart Sensor, AI Virtual Proximity Sensor, and AI Virtual Smart Sensor Platform are trademarks of Elliptic Labs.

All other trademarks or service markets are the responsibility of their respective organizations.

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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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