2024-06-20
Dive into the dynamic world of semiconductors and discover the future landscape as the industry experts provide a glimpse into the future of the semiconductor ecosystem in the era of artificial intelligence.
위치
미국
The wide adoption of Artificial Intelligence and Machine Learning (AI/ML) is profoundly impacting many industries, perhaps none more so than the semiconductor industry. These technologies greatly benefit the chip manufacturing process and offer opportunities for greater and more effective data sharing throughout the semiconductor supply chain. At the same time, the race to produce faster, more powerful chips to accommodate the computation and communication requirements of AI/ML creates significant technical and logistical challenges throughout the semiconductor supply chain.
In this webinar, we will examine the opportunities and challenges the AI boom is bringing to the semiconductor industry. Speakers will address the impacts on fabs and materials manufacturers and how innovation in data analytics, security, and sharing across the supply chain is transforming our industry yet again. Join us as industry experts provide a glimpse into the future of the semiconductor ecosystem in the age of AI.
아젠다
Accelerating the Semiconductor Industry with the Power of Data and AI
The semiconductor industry constantly faces demands for quality, supply chain reliability, and speed. Addressing key issues is now significantly more effective thanks to unprecedented data collaboration across the semiconductor ecosystem. Laura Matz, CEO of Athinia, will explore how device makers and material suppliers can leverage the transformative power of data and AI to drive rapid advancements in manufacturing and innovation. She will emphasize the foundational role of data in AI and discuss strategies for effective data integration, suitable for both data-rich and data-sparse environments.
Leveraging Advanced ML Tools to Drive Solutions to the Semiconductor Industry's Most Pressing—and Mundane—Challenges
Data is ubiquitous, this is especially true in the semiconductor industry. With the ever-evolving landscape of data and advanced tools, engineers and scientists have unprecedented opportunity to leverage this data into actionable solutions. However, leveraging these tools can be challenging, particularly for those who lack the time or expertise to use open-source tools. Peter Polito, a Senior Systems Engineer at JMP Statistical Discovery, will highlight the capabilities of advanced machine learning tools in JMP Pro. Whether dealing with small run designed experiments or millions of rows of historical data, these tools offer easily accessible solutions with compelling visuals, enabling users to thoroughly investigate outputs and develop data-driven solutions in a user-friendly, point-and-click environment.
