To reach net-zero emissions by 2050, the aviation sector must rapidly accomplish its complete technology transformation. Moreover, this schedule tightens even more considering the radical changes in aircraft architectures and technologies required to reach commercial maturity: new fuels, fuel sys...

A forecast by International Data Corporation (IDC) estimates that there will be 41.6 billion IoT devices in 2025, capable of generating 79.4 zettabytes (ZB) of data. That is a lot of data floating around cyberspace. As the number and types of devices increase, new security challenges are rapidly...

A brief foray into how attackers get root-level access, general attack flow and real world examples concluding with how we can use: defense in depth, threat models, and principles of least privilege and secure / immutable configurations to help secure our systems given an attacker has root-level exe...

Endless patching is a race that cannot be won. To build sustainable, secure IoT solutions we must change that ineffective paradigm. To appreciate what we can do differently, we should start by considering both the defender and attacker perspectives. This session will provide a unique view of that...

Traditional testing of IoT device software can leave subtle bugs undetected, leading to vulnerabilities. Today's formal methods mathematically guarantee code security and quality, and the absence of bugs. Over the last decade, mathematical methods have been democratized to go beyond formal ver...

Edge-based security is critical in just about every instance, as it provides that entry point into your entire critical infrastructure. Maintaining that security well into the future can be difficult at best, when it’s hard to determine what devices will be connecting to your network tomorrow, next...

IoT security has become an increasingly hot topic around the world. More attacks and more use of IoT lead to greater risk. In response, governments have enacted new regulations that impose minimum security requirements even for small IoT devices. These can be a headache for IoT system designers. For...

Quantum computing has lingered beyond the horizon for ages – but no longer. Like the rising sun on a hot summer day, quantum computing is rapidly transforming the world of cryptography. Well-tested algorithms like RSA and ECC are rendered weak and will soon be obsolete. Post-quantum cryptography pro...

Keynote Address delivered by Google, covering the Matter 1.0 standard! Produced by Embedded Computing Design, the IoT Device Security Conference is a virtual conference that explores all avenues of securing your IoT-connected devices and systems using the latest techniques. The conference will fo...

When it comes to balancing the security of your IoT devices with the need to enable your DevOps team to manage and maintain your fleet, have you ever thought about how great it would be to be able to connect to an already deployed device in the field and securely run a remote debugging session on it...

There are so many electronic subsystems within the modern automobile that we’ve lost count. But the fact the every one of them needs to be locked down should not be lost. In this session, we will look at how you secure today’s and tomorrow’s automobile.

As the United States emphasis on microelectronics increases, the focus on leveraging advanced technology from trusted and secure semiconductor manufacturers is critical. The strategic collaboration between Micron and Mercury brings together key industry leaders through true customer focus, technolog...

Making IoT products is hard — especially if you want to build a great, profitable product on a tight schedule with limited resources and technical knowledge. Find out how to get around these challenges using one simple, cost-effective solution: Infineon’s AIROC™ Cloud Connectivity Manager, which sup...

Globally, aviation accounts for 4.9% of the CO2 and non-CO2 emissions. Industry is taking steps to reduce aircraft emissions and improve fuel efficiency in an effort to combat climate change but with twice as many air travelers expected by 2037, those efforts alone will not be enough. It’s clear...

In the first class of this on-going series of “Developing with Pi,” we will introduce the RP2040 and walk through its feature set and capabilities, proving the engineering community with the foundation it’ll need for subsequent classes. In addition, we’ll present several dev boards that take advanta...

A variety of medical device modalities and industrial edge applications can be improved with the addition of new features enabled by AI. Developers of these devices and equipment need a platform that enables AI at the edge. The NVIDIA IGX hardware and software-based platform with long term suppor...

Machine learning inference has thoroughly penetrated embedded applications, especially with visual and spatial data like images and radar/lidar. Texas Instruments has a scalable processor portfolio for vision inference at the edge. From inexpensive Arm®-only solutions to computationally-efficient ha...

Did you know more than 1 billion tons of food is wasted every year? What if we could reduce that? What if optimized AI was the key? Building AI applications to solve real-world problems is our common challenge as developers. To solve a challenge like food waste, optimization is important. In t...

The buzzword soup of Machine Learning, AI, edge computing, and IoT can be overwhelming (and intimidating) for many developers. In this talk, we will start from a beginner's view of these concepts and evolve to see how we can merge the worlds of ML with the Internet of Things to create a few silly, i...

While many (most?) of the uses of AI in automotive are for autonomous-drive-related features, there is a growing need for AI to be used in software development and testing. Analysis of the relationships and dependencies between software functions, and of their behavior in run-time will generate acti...

The percentage of systems that incorporate AI continues to grow. Hence, it’s now clearly on the radar for most developers/engineers, in applications ranging from consumer to industrial to medical healthcare. With the compute performance available today, the technology has migrated to the Edge of...

Deep learning models are advancing at a fast pace, creating difficult dilemmas for system developers. When you begin developing an edge AI system, you select the best available model for your needs. But by the time you’re ready to deploy your product, your original model is obsolete. You’d like to u...

Today, the state-of-the-art solution to enable high performance imaging radar is to increase the antenna count and processing capabilities of the system. Fundamentally, this approach is not an optimal solution for automotive and robotics applications as the imaging radar available on the market use...

In this session we will work with ModusToolbox and our ModusToolbox & Friends partners and how we can combine multiple capabilities from connectivity, audio and machine learning through the example of Audio classification. You will learn how ModusToolbox is extending to external tools that make it e...