We can expect 5G to become one of the most impactful and transformative innovations to hit the modern enterprise.

Next-generation industrial robots and advanced control automation capabilities are enabled effectively by a real-time operating system from Wind River® — VxWorks® — and the 11th Generation Intel®...

Smarter Manufacturing Processes Are Powered by AI AI-enabled industrial control automation creates fresh opportunities to innovate and adapt manufacturing processes, building on a foundation of digital transformation and network advances across the intelligent edge. Industry 4.0 technologies are motivating manufacturers to transform their legacy processes: The global industrial automation market is anticipated to grow at a CAGR of 7.2% during 2019–2026.1 Driving forces include wireless 5G networking, the emergence of the intelligent edge, AI-infused processors, AI-enabled automation, software-defined infrastructures, the Industrial Internet of Things (IIoT), and augmented and virtual reality. Improved efficiency is at the heart of many Industry 4.0 breakthroughs, but opportunities also arise from innovative technologies — for example, adaptive manufacturing enables companies to release products and solutions uniquely tailored to specific customer preferences, adjusting manufacturing processes on the fly.

Explore Wind River's approach to DO-356A certification. Of utmost importance for avionic systems is to have security strategy to protect system operations. This paper outlines the principles behind avionics security and shows how Wind River can help meet the objectives of DO-326A and DO-356A while maintaining a strict compliance to DO-178C. The objective of a safe and secure platform is therefore achieved. A brief overview of DO-356A and it importance to airworthiness security DO-356A mapping to Wind River platforms How Wind River can support your programs

Protecting Can’t-Fail Embedded Systems from Tampering, Reverse Engineering, and Other Cyberattacks When attacking an intelligent edge medical system, it takes only one vulnerability to put patient health at risk. Security requirements for medical software present a growing challenge as devices move from stand-alone systems or private networks into cloud operations. Intelligent systems offer rewards, but they also introduce risks. Among these risks are the increasing efforts of outside actors to exploit medical devices as entry points for ransomware and other attacks. Worse yet, an attacker may try to use a compromised device to go further, pivoting from one exploited subsystem to another and jeopardizing patient health while causing further damage to the device company’s network, mission, and reputation. This white paper covers the most important security design principles that, if adhered to, give you a fighting chance against any attacker who seeks to gain unauthorized access, reverse engineer, steal sensitive information, or otherwise tamper with your embedded medical system.

New Solutions for Modern Energy Challenges In the face of shifting markets, downward price pressure, decentralization, digitization, and climate imperatives, the energy sector must respond with greater agility, flexibility, and efficiency to thrive in the coming decades. The technologies that energy companies rely on are a particular area of challenge, with legacy applications and an infrastructure that commonly creates inefficient, siloed, manual processes that drive up costs and slow the pace of change. To overcome these problems, the industry is in an ongoing state of digital transformation.

FACE Consortium provides standardized approaches for using open standards with avionics systems. Discover how embracing FACE can deliver Military Aviation Agility.

AI Amplifies Opportunities for Efficient, Safe, and Secure Innovation in Industrial Environments THE CHALLENGE Emerging instances of AI-enabled cobots, autonomous vehicles, and non-piloted drone operations are part of an expanding array of innovative use cases in industrial robotics. Industrial robotics integrated with AI are predicted to spur market growth by a projected CAGR of more than 15% in coming years, reaching USD 66.48 billion by 2027, according to Fortune Business Insights. As barriers between human activities and robotic capabilities diminish — moving beyond the fenced activities of last-generation industrial robots — new collaboration and workflow models are bringing humans and robots together in industry. Despite advances, however, expanding the range of use cases for robotics in Industrial IoT (IIoT) environments requires negotiating long-standing technical roadblocks. This includes the challenge of integrating diverse components across heterogeneous networks, employing machine learning to build and operate intelligent systems that adapt to workflows, and implementing responsive, low-latency communication services to interact with robotics systems in real time. THE APPROACH Artificial intelligence is critical to new robotics approaches. And rather than augmenting existing machine operations by bolting on AI-driven components, AI-first puts the intelligence at the forefront of the design process to perform at the core of a task. The focus is on building solutions that meld hardware and software to effectively use machine learning and AI-guided functions, performing operations with greater speed, reliability, security, and safety. As with digital transformation, the AI-first approach requires a rethinking of traditional design — transforming architectures to satisfy the solution requirements over the full lifecycle, rather than just reorganizing and tinkering with existing solutions. The Wind River® portfolio, with its multiple solutions and purpose-built embedded components, provides a flexible and agile foundation for meeting this need. Wind River solutions are elements of an extensive roadmap leading to the benefits and enhanced business value promised by today’s industrial robotics.

A multi-party automotive industry technology collaboration to define a data lifecycle platform for enabling and optimizing future connected and autonomous vehicle systems