IP-focused content can either be submitted to the regular Research Track or to the IP Track. If submitting to the Research Track, the same submission format and review process as for other EDA and ESS areas applies. If submitting to the IP Track, please follow the format specified by the Designer Track.
Machine learning and artificial intelligence (ML/AI) program will focus on the advances in the field related to design and design automation at the cross section between ML/AI algorithms and hardware. While artificial intelligence and artificial neural network research has been ongoing for more than half a century, recent advances in accelerating the pace and scale of machine learning enabled by tensor-flow based gradient optimization in deeply layered convolutional networks (convnets) are revolutionizing the impact of artificial intelligence on every aspect of our daily lives, ranging from smart consumer electronics and services to self-navigating cars and personalized medicine.
The ML/AI sessions at DAC will highlight the fundamentals, accomplishments to date, and challenges ahead in ML/AI design automation, providing a forum for researchers and practitioners across all the widely varying disciplines involved to connect, engage, and join in shaping the future of this exciting field.
The Internet of Things (IoT) continuous to drive innovation in electronic systems. Its definition is inherently broad, encompassing everything from industrial automation, to wearable devices, to home security. Its components range from energy harvesters and smart sensors to data centers. What's needed to design these systems? IoT sessions at DAC aim to cover the entire spectrum, providing a holistic overview of IoT-related content in diverse areas, such as EDA methodologies and tools to reduce energy, lightweight authentication and security approaches, techniques for assembling needed IP for IoT systems, and methods for managing the complexity of automotive systems.
Electronics content in modern cars is growing at an increasingly rapid pace. Nearly every aspect of the vehicle uses smart electronics and embedded software to make our transportation experience safer, more energy-efficient and enjoyable. As the trend towards automated driving and connectivity accelerates, the ability to deliver these innovations depends more than ever on the electronics and software development capabilities. Mastering the enormous functional complexity while satisfying safety, security as well as cost constraints requires powerful methods and tools for all development steps.
The Automotive sessions at DAC provide insight into designing automotive grade electronics systems and software adhering to the industry’s standards and requirements.
Security and Privacy sessions at DAC address an urgent need to create, analyze, evaluate, and improve the hardware, embedded systems and software base of contemporary security solutions. Secure and trustworthy software and hardware components, platforms and supply chains are vital to all domains including financial, healthcare, transportation, and energy. A revolution is underway in many industries that are "connecting the unconnected.” Such cyber-physical systems -- e.g., automobiles, smart grid, medical devices, etc. -- are taking advantage of integration of physical systems with information systems. Notwithstanding the numerous benefits, these systems are appealing targets of attacks. The scope and variety of attacks on these systems present design challenges that span embedded hardware, software, networking, and system design.
For more information on DAC’s call for contributions, committees and other activities associated with the conference please visit www.dac.com.
About DAC
The Design Automation Conference (DAC) is recognized as the premier event for the design of electronic circuits and systems, and for electronic design automation (EDA) and silicon solutions. A diverse worldwide community representing more than 1,000 organizations attends each year, represented by system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities. Close to 60 technical sessions selected by a committee of electronic design experts offer information on recent developments and trends, management practices and new products, methodologies and technologies. A highlight of DAC is its exhibition and suite area with approximately 200 of the leading and emerging EDA, silicon, intellectual property (IP) and design services providers. The conference is sponsored by the Association for Computing Machinery (ACM), the Electronic Systems Design Alliance (ESDA), and the Institute of Electrical and Electronics Engineers (IEEE), and is supported by ACM's Special Interest Group on Design Automation (ACM SIGDA).
Design Automation Conference acknowledges trademarks or registered trademarks of other organizations for their respective products and services.
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