Autonomous Driving: Assessment Of YOLO Algorithms (RMIT et al.)


A new technical paper titled "Advances in You Only Look Once (YOLO) algorithms for lane and object detection in autonomous vehicles" was published by RMIT University, Kyungpook National University, Deakin University and the RCA Robotics Laboratory, Royal College of Art. Abstract "Ensuring the safety and efficiency of Autonomous Vehicles (AVs) necessitates highly accurate perception, especia... » read more

Full-Chip Voltage Contrast Inference Using Deep Learning; You Only Look Once: Voltage Contrast (YOLO-VC)


Abstract: The electron beam inspection methodology for voltage contrast (VC) defects has been widely adopted in the early stages of sub-10nm logic and memory technology development, as well as in new product introductions. However, due to throughput limitations, full-chip inspection at the 300mm wafer scale remains impractical for yield ramp and production applications. To address this challeng... » read more

Building An Efficient Inferencing Engine In A Car


David Fritz, who heads corporate strategic alliances at Mentor, a Siemens Business, talks about how to speed up inferencing by taking the input from sensors and quickly classifying the output, but also doing that with low power. » read more

Inferencing At The Edge


Geoff Tate, CEO of Flex Logix, talks about the challenges of power and performance at the edge, why this market is so important from a business and technology standpoint, and what factors need to be balanced. » read more