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

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Paige, a global leader in end-to-end digital pathology solutions and clinical AI applications announced the release of a groundbreaking product developed from Paige’s Pathology Foundation Model, Virchow. Built using one of the largest libraries of digitized images, utilizing unique computational resources provided by Microsoft Research, Paige has developed the first application that can detect cancer across more than 17 different tissue types including skin, lung, and the gastrointestinal tract, along with multiple rare tumor types and metastatic deposits.

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“Beyond its multi-tissue capabilities, the Foundation Model and the use of its embeddings can also be leveraged as a critical building block in a variety of upstream and downstream applications across the entire healthcare continuum”

Traditionally, development of pathology cancer detection AI applications required large datasets, one tissue type at a time, often taking months or years to build at clinical grade. By leveraging its unique Foundation Model, Paige has surpassed these limitations. With data derived from over 4 million digitized slides, Paige’s innovative approach removes the constraints of developing single tissue products, making it possible to efficiently create cancer detection AI applications across a multitude of tumor types, a first in AI-based cancer diagnosis.

“The early success of our Foundation Model has been possible due to the size, quality, and diversity of the datasets we used to build it,” said Siqi Liu, PhD, director of AI Science at Paige. “Paige has access to one of the largest and most highly regarded pathology datasets globally, which allows us to leverage cutting-edge deep-learning approaches to train systems to detect common, complex, and even very rare cancer entities. Paige’s development provides the pathology community with the most powerful tools for diagnosis, prognosis, biomarker development, and targeted selection of patients for precision therapy,” he continued.

The exceptional performance of Paige’s multi-cancer application across various tissue types is considered state-of-the art in cancer pathology AI. Paige is committed to ensuring its AI applications are clinical grade and will therefore continue to seek FDA regulatory oversight for products based on the Foundation Model technology.

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“We see FDA clearance as being critical to ensure that regulatory and safety standards are being upheld in the application of AI in cancer diagnostics across tumor types,” said Andy Moye, CEO of Paige. “Paige remains at the forefront of innovation and regulatory milestones, and we expect this multi-tissue detection model to benefit patients, pathologists, and the broader medical community. Our commitment to excellence is exemplified by this groundbreaking achievement, marking a significant leap forward in cancer diagnostics.”

“Beyond its multi-tissue capabilities, the Foundation Model and the use of its embeddings can also be leveraged as a critical building block in a variety of upstream and downstream applications across the entire healthcare continuum,” said Razik Yousfi, Senior Vice President of Technology at Paige. “By combining the outputs of the Foundation Model with data types from other modalities, including genomics, radiology, and other health data, one can derive exponentially greater insights about the nature of cancer, its behavior, and response to specific treatments.”

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

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New compliance requirements called DORA pushing banks to generative AI solutions to meet 2025 deadlines, according to Diffblue

Diffblue, creators of the world’s first fully autonomous generative AI-for-code software announced dramatically increasing demand for AI-powered software unit testing solutions, especially among banks, as firms rush to meet new, stringent software code quality regulations.

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A year ago, the European Parliament approved the Digital Operational Resilience Act (DORA), which will enter into force in 2025. It includes six key components for financial services to address to bolster their digital resilience. ESAs will increase their supervision on financial institutions and will implement stronger controls.

“AI automation is changing the banking industry in many ways but it is also helping firms automate and improve compliance initiatives to meet the requirements of stricter software code quality standards,” said Mathew Lodge, CEO of Diffblue, developers of Diffblue Cover, an automated Java software unit testing solution.

The financial stakes are high.

Last December UK regulators fined bank TSB more than $60 million for failures in risk management and governance after an IT outage locked two million customers out of their accounts. The fine stemmed from a botched migration of TSB customers to Spanish bank Banco Sabadell which had acquired TSB in 2015.

The mistakes cost CEO Paul Pester his job and TSB had to spend nearly half a billion dollars to resolve the problems and compensate customers. Regulators accused TSB of failure to organize and control the IT migration program adequately and manage the operational risks.

DORA will require companies to focus on a Digital Resilience Strategy accompanied by a Digital Resilience Framework. It requires an end-to-end view of the entire ICT landscape that supports critical business functions. Proper unit testing of software can mitigate these risks tremendously, documenting in advance that the code will perform as intended.

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Diffblue Cover is helping scores of banks adopt DORA and keep regulators at bay when modernizing legacy mission-critical Java applications. Unit tests written by Diffblue Cover enable rapid understanding of complex applications allowing customers to innovate with confidence. It’s also the only fully-automated generative AI solution that can autonomously write new code, improve existing code, accelerate CI pipelines and provide deep insight into risks associated with change without requiring manual review.

To see a demo of Diffblue Cover, please visit here. Experts at Diffblue will schedule a convenient time to show you how AI for Code and Diffblue Cover can:

• Speed up modernization of your Java applications;
• Protect your code from regressions;
• Ship code with fewer customer-found defects
• Make life easier for your development teams;
• Reduce the risk of code breakages in fragile applications;
• Maximize unit test coverage;
• Get new insights into your code’s testability and health

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

The post Software Code Clean Up Slowed by Pending Regulations; Many Turning To Gen AI and Unit Tests appeared first on AiThority.

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

The post The Microsoft AI Odyssey Will Prepare 100,000 Developers in India for the Future appeared first on AiThority.

This is our AI Daily Roundup. We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence (AI), Machine Learning, Robotic Process Automation, Fintech, and human-system interactions.

We cover the role of AI Daily Roundup and its application in various industries and daily lives.

CES 2024: HP Transforms Consumer Portfolio to Power the Personal

CES 2024, HP Inc. ushered in a new era of computing with its latest portfolio of PCs, monitors, and peripherals designed to reimagine how we interact and live with technology. “We believe that the best innovations are also the most personal ones,” said Samuel Chang, Senior Vice President & Division President of Personal Systems Consumer Solutions, HP Inc.

Tomtom and Mitsubishi Electric Collaborate to Advance Automated Driving

TomTom (TOM2), the location technology specialist, and Mitsubishi Electric announced they are integrating technologies to develop new solutions and drive innovation in automated driving. Through this collaboration, TomTom’s High Definition (HD) Map will power Mitsubishi Electric’s High-Definition Locator hardware, providing the highly accurate data required for automated driving.

Ceva and boAt, India’s Leading Audio and Wearable Brand, Announce Strategic Partnership

Ceva,the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and efficiently, and India’s No.1 audio and wearables brand, boAt (Imagine Marketing Limited) today announced they have formed a strategic partnership to deliver technology innovation across boAt’s next generation of lifestyle-focused consumer products, including TWS earbuds, neckbands, headphones, speakers and smartwatches.

Expedera NPUs Run Large Language Models Natively on Edge Devices

Expedera, Inc, a leading provider of customizable Neural Processing Unit (NPU) semiconductor intellectual property (IP), announced that its Origin NPUs now support generative AI on edge devices. Specifically designed to handle both classic AI and Generative AI workloads efficiently and cost-effectively, Origin NPUs offer native support for large language models (LLMs), including stable diffusion.

MetaWorks Extends AI-Powered Chatbot Offering by Adding AI Generated Video’s with Launch of StockHolder.ai

MetaWorks Platforms, an award-winning Web3 company that owns, operates, and develops Web3 platforms, is thrilled to announce the launch of StockHolder.ai. StockHolder.ai will serve as the primary destination for the AI-Powered investor relations & chatbot business launched by MetaWorks in December.

The post Daily AI Roundup: Biggest Machine Learning, Robotic And Automation Updates appeared first on AiThority.

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

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The post Dexios Chooses Maverick Medical AI as Its AI Medical Coding Solution appeared first on AiThority.

New offering enables pharma brands to engage in 24/7, MLR-compliant near-human interaction with ideal customers in the moment of need

Swoop, a leader in developing precise direct to consumer (DTC) and healthcare provider (HCP) audiences for pharmaceutical and life sciences brands, announced the launch of its AI-powered conversational agent. This groundbreaking advancement in healthcare marketing sets a new standard for lower funnel engagement, enabling immediate, MLR-compliant virtual customer interactions via brand.com.

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“Swoop’s AI-powered conversational agent marks the first groundbreaking advancement for brand.com since the introduction of pharmaceutical websites in the 1990s, addressing a pressing need for innovation in how the industry engages with their customers”

“Swoop’s AI-powered conversational agent marks the first groundbreaking advancement for brand.com since the introduction of pharmaceutical websites in the 1990s, addressing a pressing need for innovation in how the industry engages with their customers,” said Scott Rines, underscoring the historic significance of this achievement. “Patients and physicians are looking for real-time information, 24/7/365 during their moment of need, but are often faced with an overwhelming experience on brand.com. They come to the site seeking fast, clear answers to their health-related questions – our agent solves this.”

Market conditions continue to remain a challenge with shortages of healthcare professionals despite an uptick in customer demand for information related to their condition and treatment decisions. Meanwhile, HCPs are also less likely to allow medical reps into their offices, a shift that has continued post-Covid. Instead, these increasingly digital-native, often over-extended, physicians prefer to seek information online when their schedule permits, limiting the impact of personal promotion.

“The ability to parse the data derived from lower funnel conversations with HCPs and patients in real time will prove invaluable, as these signals will become proprietary 1st party data to optimize future marketing spend and messaging,” added Rines.

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Key Features of Swoop’s Conversational Agent:

• Dynamic Patient Conversations: Patients and HCPs can engage with conversational AI in real-time, creating a personalized and responsive user experience to drive more high-value actions on a health brand website.
• MLR-Approved Medical Information: Leveraging advanced algorithms, conversational AI provides MLR-approved answers to both simple and complex medical questions in the moment of need, enhancing the overall user experience for both patients and HCPs.
• Real-Time Patient Insights: Valuable real-time data from conversations accessible via dashboards allows healthcare brands to assess the effectiveness of their messaging and make informed adjustments promptly.
• Scalable to Client Demands: Whether for a single brand, therapeutic area or product portfolio, Swoop conversational AI agents can scale with the needs of healthcare marketers from new product launches to covering open territories and unsupported brands.
• Patient Data Security and Compliance: Swoop prioritizes patient privacy and data security, ensuring that all conversational AI agents operate in compliance with the highest industry standards and regulations.

Typical Client Results Seen by Customers:

• 96% – Average answer success rate of inquiries
• 5.2 minutes – Typical conversation duration
• 4.7/5 – Average user satisfaction rating
• 800% – Increase in high-value activities on brand websites

Swoop’s conversational AI technology is built on more than 1.3 billion conversations with patients and providers and has been trained under the supervision of physicians and medically trained clinicians. Unlike generative AI, which can hallucinate and is not appropriate for direct patient and HCP interaction in the heavily regulated pharmaceutical industry, Swoop conversational AI uses fine-tuned large language models to understand user intent and surface the most relevant MLR-approved answers to ensure compliance, accuracy and, most importantly, safety.

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

The post Swoop Launches AI-Powered Healthcare Conversation Agent That Revolutionizes brand.com Engagement appeared first on AiThority.