AI, famously, is a black-box solution. While neural networks are designed for specific applications, the training process produces millions or billions of parameters without us having much ...

Military and aerospace systems increasingly depend on rechargeable batteries for a wide variety of electronics and propulsion. Lithium-ion (Li-Ion) batteries are the most-used electrical storage ...

In recent years, the rapid advancement of machine learning (ML) has led to their early integration into safety-critical systems. As noted in Chapter 2, these technologies offer significant potential ...

Why testing alone cannot assure correctness in complex safety-critical software, and how edge cases and undefined behavior are able to evade validation efforts. How formal verification is used to ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

A recent experience with managing the tenth anniversary version of a technical conference (www.iccve2022.org) triggered a process of reflection on the last decade of artificial intelligence. The first ...

When it comes to adopting artificial intelligence in high-stakes settings like hospitals and airplanes, good AI performance and brief worker training on the technology is not sufficient to ensure ...

As safety-critical systems become increasingly complex, the choice of processor architecture plays an important role in ensuring functional safety and system reliability. Consider an automotive ...

GENEVA – STMicroelectronics in Geneva is teaming with HighTec EDV-Systeme GmbH Saarbrücken, Germany, to accelerate development of safety-critical microcontrollers and software to make software-defined ...

A new technical paper titled “A RISC-V Multicore and GPU SoC Platform with a Qualifiable Software Stack for Safety Critical Systems” published by researchers at Universitat Politecnica de Catalunya ...

Learn about the importance of testing not only the hardware and software inside automotive and other safety-critical applications, but also the software tools used to program them in the first place.

Safety-critical control occupies a central role in the design of dynamical systems that must operate reliably under stringent constraints. At its core, the discipline seeks to guarantee that the ...