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Keysight, CfAA accelerate software-defined vehicle AI safety assurance. Research initiative aims to close gap between AI safety research and practical engineering to reduce risk and enable faster, safer deployment of AI-enabled automotive systems. Published: 04 Sep 2026 10:23 Looking to enable automakers and suppliers to meet emerging industry requirements while reducing development risk and accelerating the deployment of artificial intelligence (AI-)enabled automotive systems, Keysight Technologies and the Centre for Assuring Autonomy (CfAA) at the University of York (UK) have announced a research collaboration to advance the safe deployment of AI in software-defined vehicles (SDVs). Keysight and the CfAA noted that AI has rapidly become a core technology in advanced driver assistance systems (ADAS), automated driving functions and SDVs. As these capabilities become more sophisticated, automotive organisations face growing pressure to demonstrate that AI systems operate safely, reliably and as intended, not only during development but throughout the vehicle lifecycle. Keysight and CfAA stressed that providing that proof is one of the industry's most significant challenges, as automakers work to bring increasingly intelligent vehicles to market while meeting evolving regulatory and safety expectations. The University of York has a legacy in research in safety engineering and the assurance of complex systems across domains, including transport and automotive. By combining the university's academic expertise with Keysight's AI validation techniques, the collaboration seeks to advance methodologies applicable to automotive AI development. In addition, Keysight and the CfAA said that they will focus on developing practical methods for validating AI systems and generating the evidence needed to demonstrate their safety and reliability. By working together, they assured that they will help to bridge the gap between AI safety research and practical engineering by advancing methodologies for structured AI safety cases and building justified confidence in the safety of AI-enabled automotive systems. In deeper technical terms, the research will focus on the creation of evidence-driven approaches to support the implementation of ISO/PAS 8800 requirements, exploring measurable safety-scoring methodologies grounded in academic research and industry standards, and creating practical frameworks for generating auditable AI safety evidence. The two organisations said the resulting methodologies are intended to support the process of building AI safety cases, improve confidence in AI validation and help engineering teams demonstrate justified AI safety more efficiently throughout the product lifecycle. The research is also expected to inform future development of Keysight's AI Software Integrity Builder, enable enhanced support for AI safety arguments and safety evidence generation, and offer validation activities aligned with automotive industry expectations. "The automotive industry is at a pivotal point where AI technologies are becoming increasingly integral to vehicle functionality. Ensuring these systems can be evaluated using robust, evidence-based approaches is essential. This is where the CfAA is ideally placed to support Keysight," said Simon Burton, chair in systems safety at the University of York. "We have produced several freely accessible frameworks and guidance already being used by industry safety professionals in the transport sector. This collaboration is another way we are supporting the advancement of practice methods that help translate AI safety principles into engineering practices that can be applied in safety-critical environments." Lukas Klose, head of the automotive AI solution centre at Keysight, added: "Automotive organisations need practical and scalable ways to build confidence in AI-enabled systems. By combining leading research in safety assurance with Keysight's holistic AI Validation Framework, we aim to develop methodologies that help engineering teams generate structured evidence for AI safety cases and support the deployment of trustworthy AI technologies in conformance with international standards such as ISO/PAS 8800." * Software-defined vehicles enter era of AI-driven value creation: Survey shows smart diagnostics and predictive maintenance emerging as top use cases for AI in software-defined vehicles industry, but expected monetisation yet to materialise. * Software-defined vehicles drive next-gen auto architectures: Research highlights trend in automotive industry towards software-defined vehicles where functionality, user experience and monetisation opportunities are governed increasingly by software rather than hardware. * Intel accelerates software-defined vehicles with SoC first: Automotive technology arm of chip giant Intel unveils product and customer development that it says marks a step forward in software-defined vehicle strategy. * Renault charges Ampere to drive future with software-defined vehicles: With software-defined vehicles key to bringing it closer to customers, auto manufacturer deploys digital chassis solution to accelerate the time it takes to roll out new features to cars.

Keysight gift expands hands-on engineering education at Harvey Mudd. September 1, 2026 The Department of Engineering at Harvey Mudd College has announced a major equipment and software gift-in-kind valued at approximately $200,000 from Keysight Technologies. The generous contribution will fundamentally upgrade the College's engineering laboratories, introducing state-of-the-art workstations to support growing student enrollment, and accelerate hands-on technological innovation. The donation consists of industry-grade oscilloscopes, advanced power supplies, and specialized design and simulation software. The equipment is slated for installation across three distinct engineering laboratories inside the academic hub of the Parsons Building. By replacing aging instrumentation and expanding the capacity of its lab spaces, the additional workstations will ensure that students train on the same platforms used by leading research and development firms worldwide. Keysight Technologies is a premier global technology company that helps enterprises, service providers and governments accelerate innovation to connect and secure the world. Doug Baney, Keysight corporate director of education, says, "This collaboration with Harvey Mudd will expand the exceptional experiential education offered to its students, giving them hands-on experience with advanced technologies and preparing them for success in industry." "This partnership with Keysight Technologies comes at a perfect time for our department," says Nancy Lape, professor and chair of the engineering department at Harvey Mudd. "Access to modern laboratory tools prepares our engineers with industry-relevant, hands-on training that is crucially important for understanding the real world." The project's core objective is to significantly expand student access to updated, high-quality instrumentation within Harvey Mudd's engineering Core classes. These foundational courses cover critical STEM fields, including introductory robotics, analog design, microcontroller design and radio frequency systems. Through direct engagement with the new Keysight tools, Harvey Mudd students will apply theoretical concepts to real-world engineering through hands-on experimentation in: * Circuit Analysis and Design: Building and evaluating complex electronic networks. * Signal Processing: Capturing, interpreting and manipulating electrical data waveforms. * System Testing and Troubleshooting: Isolating system faults and optimizing hardware performance. These experiences are designed to elevate students' problem-solving skills and technical competencies - metrics that are assessed regularly as part of HMC's ongoing department evaluation efforts and long-term academic research studies. Beyond the Core classroom, this gift enhances Harvey Mudd's signature Clinic Program, where student teams collaborate with external corporate partners to solve pressing engineering challenges.