• 13:25 – 13:55

A 360 View of Semiconductor Test from AI and Security Perspective

This keynote will explore the impact of deep learning including large language models on the semiconductor test. We will highlight the opportunities these models present for real-time data processing and discovery of insights, with specific applications in computer vision and natural language processing. However, the use of these models also introduces new security risks, particularly regarding the use of cloud infrastructure for collection of data, training and inference. By examining past attacks on networks, we will discuss the potential for malicious actors to steal data or intellectual property from companies. Attendees will gain an understanding of the opportunities and challenges in AI and security for the coming years and the importance of considering security measures in the development and deployment of these advanced solutions.

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Claudionor Coelho photo

Claudionor Coelho

Chief AI Officer, SVP of Engineering


Claudionor N. Coelho is the Chief Artificial Intelligence Officer and SVP of Engineering at Advantest, being responsible for AI strategy for Advantest and leading engineering for ACS.

Previously, he was the VP/Fellow for AI – Head of AI Labs at Palo Alto Networks, where he led AI and Neurosymbolic innovation for AIOps products at Palo Alto Networks. He also led the creation of next-generation time series analysis tools at scale (MLOps on GCP) integrated with knowledge graphs and formal technology.

He worked on Machine Learning/Deep Learning at Google. He is the creator of QKeras, a Deep Learning package for quantization on top of Keras with support for automatic quantization, being used by CERN (which made it to the cover page of Nature Machine Intelligence in August 2021). He was the VP of Software Engineering, Machine Learning, and Deep Learning at NVXL Technology. He did seminal work on AI at Synopsys Inc, and he opened the site for Cadence Design Systems in Brazil, being the GM for the site, following the acquisition of Jasper Design Automation, where he was the Worldwide SVP of R&D. Under his leadership, Jasper was awarded one of the most innovative companies in the US in 2013, according to Red Herring.

He created the initial strategy for Kunumi (when he was an angel investor), and he is an investor and is on the TAB of ConDati. He has more than 100 papers, patents, academic, and industry awards. He is currently an Invited Professor for Deep Learning at Santa Clara University, and previously, he was an Associate Professor of Computer Science at UFMG, Brazil, when he took the ACM Programming Contest to the Southern Hemisphere. He has a Ph.D. in EE/CS from Stanford University, an MBA from IBMEC Business School, and an MSCS and BSEE (summa cum laude) from UFMG, Brazil.

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Advantest (TSE: 6857) is the leading manufacturer of automatic test and measurement equipment used in the design and production of semiconductors for applications including 5G communications, the Internet of Things (IoT), autonomous vehicles, artificial intelligence (AI), machine learning, smart medical devices and more. Its leading-edge systems and products are integrated into the most advanced semiconductor production lines in the world. The company also conducts R&D to address emerging testing challenges and applications, produces multi-vision metrology scanning electron microscopes essential to photomask manufacturing, and offers groundbreaking 3D imaging and analysis tools. Founded in Tokyo in 1954, Advantest is a global company with facilities around the world and an international commitment to sustainable practices and social responsibility. More information is available at www.advantest.com.

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