Ensuring that the firmware and software on an IoT device are updated to the latest version is critical to maintain a secure state with all the known vulnerabilities addressed. This talk will set the context with pertinent threat landscape data from NVD database on IoT devices and relate Cyber Resili...

GPUs are mainstream components in display, video, and image processing applications, but have recently found an increased role as engines for edge intelligence, AI, and machine learning in embedded and IoT systems. Join us as experts discuss the role of GPUs in these systems, when and where to use t...

Commercial computing technology - smartphones, tablets, laptops, servers, etc. — brings consumers real-time communication, unprecedented processing power, high-resolution graphics, you name it. But, enabling that same tech for use by warfighters on the battlefield at sea or in a cockpit requires uni...

Every health care equipment manufacturer lives in mortal fear of a ransomware attack affecting patients and reputations. Medical devices are increasingly dependent on software – and hence potentially vulnerable to cybersecurity threats. As device manufacturers, we can and should stop threats in thei...

The amount of data generated by IoT sensors and AI endpoints means that more processing power is needed closer to the edge. Edge servers minimize networking costs, latency, and security issues associated with transmitting information to a data center or cloud. However, these fog environments host a...

Creating a multicore platform for safety critical avionics is the next major step avionics manufactures must take in order to bring new innovations to market. Years of study have been invested by certification authorities and industry suppliers to identify the additional objectives (or requirements)...

The Sensor Open System Architecture (SOSA) Consortium and its Tri-Service leadership (Air Force, Army, and Navy) and industry members are all involved in developing a Technical Standard that will be a requirement for future electronic warfare, radar, SIGINT, ISR, and other sensor systems. The joint...

Safety Critical Software has to be written with great care. There must be guidelines, tools and processes in place to ensure that the software is safe to use. But what about any third party libraries such as those that are packaged with the compiler toolchain? There are many good reasons to want to...

Rapidly advancing computation and sensor technologies are creating new opportunities to develop next-generation medical devices that will revolutionize healthcare. How can software developers at medical device manufacturers manage these new product complexities, features, and safety certification re...

The need to protect the integrity of our data and privacy is at an all-time high. This protection can only be done with security solutions that are rooted in the hardware of the devices we use and that scale over the different technologies. This webinar shows how you can utilize QuiddiKey®, the Intr...

While the need to secure your medical design has not changed, the method with which you secure the device is quite different. There are software techniques, hardware techniques, and other methods as well. In this webinar, we’ll look at the unique requirements associated with medical devices, and wha...

Have you ever been inspired by a new AI development research or new methods and tried to replicate it using open-source code, only to end up with a “bricked” development system? This is a common experience. The AI ecosystem is fragmented; many solutions require specialized hardware, such as GPUs, or...

AI is a technology that requires lots of compute power. For that reason, it had been relegated to the Cloud. But the recent spate of high- performance processors has allowed AI to move to the Edge of the IoT, known as AIoT. It’s this technology that you’ll hear about at AI Day. Powered by Embedded C...

Massive economic potential and demand for AI at the Edge require more compute resources than imaged just a few years ago. Because these compute platforms live at the Edge, where the data is received and decisions are executed, they are ideal targets for executing AI algorithms.  The response from...

Computer vision is one of AI’s killer apps. Detection and recognition systems are already used in applications ranging from smartphones and retail digital signage to advanced driver assistance systems and industrial robots. And with a variety of building blocks already available to the development c...

AI platforms at the Edge that are capable of running AI algorithms may look like your basic IoT Edge server, but that is not the case. There’s actually a fair amount of fine tuning that takes place, both in terms of hardware and software to enable this compute-intensive technology. It could be...

AI is being performed at the Edge of the IoT. Very soon, it’ll be commonplace in handheld and wearable electronic devices, and in all the appliances and infrastructure Edge devices, presumably working in the background to make our lives better, easier, and more secure. But systems at the Edge are of...

Today's avionics applications face many challenges. From size, weight, and power (SWaP)-constraints, to mixed criticality requirements, low-latency data throughput, and complex certifications, applications must balance an array of factors while keeping efficiency, performance, and safety in check. T...

The VMEbus standard will mark its 40th birthday this fall. The first standard out of the VITA Standards Organization, VMEBus is still going strong today selling nearly as many systems as its “replacement,” VPX. The standard was ratified more than a decade before the famous Department of Defense comm...

Power efficiency should be a simple metric to measure. It’s essentially the ratio of output power to input power. However, that’s the only thing that’s simple about. IoT really needs some explanation when you’re designing a product, with caveats for product category, power level, operating environme...

Applying open architecture and open standards to modern avionics systems has been the goal of the Future Airborne Capability Environment (FACE) since its inception. The FACE 3.0 standard enables reuse reuse software elements via common application programming interfaces (API). With 80%-90% percent o...

Embedded computing for military applications is vulnerable to cyberthreats like every other system. Threats are prevalent throughout every part of the system from the ICs to the signal-board computer to the software. Trust needs to be assured with each hardware component and software element. This w...

Designers of commercial off-the-shelf (COTS) electronics systems take the best of commercial technology such as processors and FPGAs and enable them to work in extreme military environments. This transformation often means ruggedization to protect the state-of-the art integrated circuit and RF compo...

Military intelligence, surveillance, and reconnaissance (ISR) programs have put a premium on reducing size, weight, and power (SWaP) in their embedded signal processing systems. Everything is trending smaller. As a result military program managers are creating more stringent SWaP requirements for ev...

Microsoft’s future roadmap includes releasing new LTSC editions every two to three years, and the new LTSC 2021 product arrives right at the three-year mark. The Long-Term Service Channel (LTSC) IoT products are designed specifically for purpose-built appliances and devices that need 10 years of sup...