tag: AI

Single Vs. Multi-Patterning Advancements For EUV
By Gregory Haley - 20 Jun, 2024 - Comments: 0

As semiconductor devices become more complex, so do the methods for patterning them. Ever-smaller features at each new node require continuous advancements in photolithography techniques and technologies. While the basic lithography process hasn’t changed since the founding of the industry — exposing light through a reticle onto a prepared silicon wafer — the techniques and technology ... » read more

AI: Great, But Somehow Still Not Very Good
By Charlie Parker - 20 Jun, 2024 - Comments: 0

In an invited presentation at CS Mantech 2024, Charlie Parker, senior machine learning engineer at Tignis, provides context for the AI hype cycle with a high-level overview of machine learning concepts, then explores how the technology fits into the fab, from inventory management to institutional knowledge capture, but warns that it is worth being aware of the ways in which machine learning mod... » read more

Driving Generative AI Innovation: 5 Competitive Advantages For Taiwan In Enabling The Next Industrial Revolution
By Clark Tseng - 20 Jun, 2024 - Comments: 0

The developments in AI technology have been significant in recent years. In 2016, DeepMind AlphaGo’s victory over a human Go world champion was a significant milestone in the advancement of artificial intelligence (AI). Later in 2022, the emergence of ChatGPT 3.5 further strengthened the AI landscape. Generative AI has been a disruptive innovation, automating the creation of text, images... » read more

IC Industry’s Growing Role In Sustainability
By Ann Mutschler - 17 Jun, 2024 - Comments: 1

The massive power needs of AI systems are putting a spotlight on sustainability in the semiconductor ecosystem. The chip industry needs to be able to produce more efficient and lower-power semiconductors. But demands for increased processing speed are rising with the widespread use of large language models and the overall increase in the amount of data that needs to be processed. Gartner estima... » read more

KANs Explode!
By Steve Roddy - 13 Jun, 2024 - Comments: 0

In late April 2024, a novel AI research paper was published by researchers from MIT and CalTech proposing a fundamentally new approach to machine learning networks – the Kolmogorov Arnold Network – or KAN. In the six weeks since its publication, the AI research field is ablaze with excitement and speculation that KANs might be a breakthrough that dramatically alters the trajectory of AI mod... » read more

The Future Of Data Analytics And Semiconductor Testing
By Michael Chang - 11 Jun, 2024 - Comments: 0

The world is changing more rapidly than ever. With the explosion of Artificial Intelligence (AI), Machine Learning (ML) and data analytics, semiconductor manufacturers now have the opportunity to extract valuable insights from the massive amounts of data being generated throughout the silicon lifecycle. By leveraging AI algorithms and ML, semiconductor manufacturers can now optimize silicon des... » read more

Why It’s So Hard To Secure AI Chips
By Adam Kovac - 06 Jun, 2024 - Comments: 0

Demand for high-performance chips designed specifically for AI applications is spiking, driven by massive interest in generative AI at the edge and in the data center, but the rapid growth in this sector also is raising concerns about the security of these devices and the data they process. Generative AI — whether it's OpenAI’s ChatGPT, Anthropic’s Claude, or xAI’s Grok — sifts thr... » read more

Opportunities Grow For GPU Acceleration
By Gregory Haley - 05 Jun, 2024 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to discuss the impact of GPU acceleration on mask design and production and other process technologies, with Aki Fujimura, CEO of D2S; Youping Zhang, head of ASML Brion; Yalin Xiong, senior vice president and general manager of the BBP and reticle products division at KLA; and Kostas Adam, vice president of engineering at Synopsys. W... » read more

Chip Design Digs Deeper Into AI
By Ann Mutschler - 03 Jun, 2024 - Comments: 0

Growing demand for blazing fast and extremely dense multi-chiplet systems are pushing chip design deeper into AI, which increasingly is viewed as the best solution for sifting through scores of possible configurations, constraints, and variables in the least amount of time. This shift has broad implications for the future of chip design. In the past, collaborations typically involved the chi... » read more

Physics-Aware AI Is The Key To Next Gen IC Design
By Marc Swinnen - 03 Jun, 2024 - Comments: 0

Chip design projects are notorious for generating huge amounts of design data. The design process calls for a dozen or more electronic design automation (EDA) software tools to be run in sequence. Together, they write out hundreds of gigabytes of intermediate data on the way to creating a final layout for manufacturing. Traditionally, this has been seen as a problem. But this richness of data i... » read more

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