Announcing the New IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI)
We are excited to announce the launch of the IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI), the latest addition to the IEEE's esteemed collection of scholarly publications. TCASAI publishes contributions related to circuits and systems for artificial intelligence, including circuit and electronic system design, implementation, and demonstration. This new Transactions aims to offer a timely and important venue to fulfill the strong need of the IEEE communities in publishing research and technical contributions in this fast-growing field.
TCASAI is financially sponsored by the IEEE Circuits and Systems Society (CASS), IEEE Solid-State Circuits Society (SSCS), and the IEEE Council on Electronic Design Automation (CEDA), and technically sponsored by the IEEE Electron Devices Society (EDS).
The submission portal of TCASAI will be announced soon. Click here for more details.
SSCS March Technical Webinar
Scaling AI Sustainably
Virtual Webinar presented by Carole-Jean Wu
Join us on Wednesday, March 13th at 12 PM ET
The past 50 years has seen a dramatic increase in the amount of compute per person, in particular, those enabled by AI. Despite the positive societal benefits, AI technologies come with significant environmental implications. I will talk about the carbon footprint of AI computing by examining the model development cycle, spanning data, algorithms, and system hardware. At the same time, we will consider the life cycle of system hardware from the perspective of hardware architectures and manufacturing technologies. The talk will capture the operational and manufacturing carbon emissions of AI computing. Based on the industry experience and lessons learned, I will share key challenges, on what and how at-scale optimization can help reduce the overall carbon footprint of AI and computing. This talk will conclude with important development and research directions to advance the field of computing in an environmentally-responsible and sustainable manner.