1. Artificial intelligence (AI) is transforming the landscape of healthcare, particularly in the field of robotic surgery. This presentation explores the integration of AI in surgical robots, focusing on its potential to enhance precision, efficiency, and patient outcomes. We will examine how AI-driven technologies improve surgical planning, assist in real-time decision-making, and enhance the capabilities of robotic systems in performing complex procedures. From AI-assisted image analysis and diagnostics to autonomous decision-making during surgery, this session will highlight the various ways in which AI is revolutionizing the surgical process, making procedures more accurate and minimally <a href="http://invasive.Moreover" target="_blank" title="invasive.Moreover">invasive.Moreover, the presentation will address the benefits and challenges associated with the adoption of AI in surgical robotics. These include improved surgical outcomes, reduced recovery times, and greater accessibility to advanced surgeries. Ethical considerations, data privacy, and the need for regulatory frameworks will also be discussed to ensure the responsible implementation of AI in surgical settings. Finally, we will look ahead to the future of AI-powered surgical robots, examining emerging trends and innovations that promise to further transform the field and enhance the capabilities of healthcare providers <a href="http://worldwide.Virtual:" target="_blank" title="worldwide.Virtual:">worldwide.Virtual: https://events.vtools.ieee.org/m/481641

Data center, compute, and AI applications continue to demand higher bandwidth from electrical interconnects. The volume of short-reach links (less than a few cm) has exploded to facilitate high-bandwidth data movement between compute engines and memory in the AI era. This massive growth will continue as the industry moves towards highly-parallelized die-to-die interfaces to support chiplet-based architectures. However, power efficiency in these links is of paramount importance to maintain reasonable power levels within a compute drawer. This talk will focus on trends and advancements in power-efficient short reach links that aim to maximize the shoreline bandwidth density. Multi-disciplinary approaches involving circuit innovations, architectural advancements, data signaling techniques, and packaging technologies are required to deliver linear bandwidth densities above 1 Tbps/mm at power efficiencies below 500 fJ/<a href="http://bit.Speaker(s):" target="_blank" title="bit.Speaker(s):">bit.Speaker(s): Tod Dickson, Virtual: https://events.vtools.ieee.org/m/481111