tag: training

Ensuring AI Reliability: Mitigating OCP’s Silent Data Corruption Risks
By Noam Brousard - 10 Mar, 2026 - Comments: 0

Silent Data Corruption (SDC) is an industry challenge affecting data centers worldwide with increasing frequency. This phenomenon stems from untraceable hardware failures that make detection notoriously difficult. SDCs don’t leave any record in system logs or trigger exception mechanisms. The corrupted data they produce can propagate unnoticed, causing cascading failures that often demand ext... » read more

AI Bubble Or Boom?
By Geoff Tate - 20 Oct, 2025 - Comments: 1

Are we in an AI bubble? Parallels are being drawn to the dot.com boom/bust of 1999-2000. In the dot.com bust, many high-tech companies valuations soared up 10X, then deflated. The peak P/E ratio for the Nasdaq Composite was 200! Remember Webvan? It went public November 1999 with an $8 billion valuation, then filed for bankruptcy 19 months later. It was much speculation without profits or gro... » read more

Reliable Training Data Paramount To AI Model Success
By Ann Mutschler - 14 Aug, 2025 - Comments: 0

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is reliable, secure, and which is generated from trusted sources. AI activity is growing exponentially, as everybody tries to figure out how to apply it to their domain, application, or workload. In ... » read more

Building A Sustainable And Diverse Semiconductor Workforce: Insights From ASMC 2024 Panel Discussion
By Krish Raghunath - 23 Jul, 2024 - Comments: 0

As the semiconductor industry works to attract talent to overcome its labor shortage, governments, educators, and the private sector must collaborate to make industry career opportunities more accessible for prospective employees. This concept provided the framework for a panel discussion during SEMI’s 35th annual Advanced Semiconductor Manufacturing Conference (ASMC) that took place in Alba... » read more

Navigating The Talent Crunch: AI Solutions For A Thriving Semiconductor Manufacturing Sector
By David Park - 23 May, 2024 - Comments: 0

The CHIPS and Science Act is a historic piece of legislation passed by the US government in 2022 aimed at regaining American leadership in semiconductor manufacturing. Supported by an unprecedented $52 billion in federal funding, this investment will also address supply chain vulnerabilities and national security concerns that were made glaringly public by the COVID epidemic. In addition to ... » read more

AI Accelerator Architectures Poised For Big Changes
By Ann Mutschler - 04 Dec, 2023 - Comments: 5

AI is driving a frenzy of activity in the chip world as companies across the semiconductor ecosystem race to include AI in their product lineup. The challenge now is how to make AI run faster, use less energy, and to be able to leverage it from the edge to the data center — particularly with the rollout of large language models. On the hardware side, there are two main approaches for accel... » read more

Generative AI Training With HBM3 Memory
By Frank Ferro - 20 Jul, 2023 - Comments: 0

One of the biggest, most talked about application drivers of hardware requirements today is the rise of Large Language Models (LLMs) and the generative AI which they make possible.  The most well-known example of generative AI right now is, of course, ChatGPT. ChatGPT’s large language model for GPT-3 utilizes 175 billion parameters. Fourth generation GPT-4 will reportedly boost the number of... » read more

AI Adoption Slow For Design Tools
By Brian Bailey - 01 May, 2023 - Comments: 0

A lot of excitement, and a fair amount of hype, surrounds what artificial intelligence (AI) can do for the EDA industry. But many challenges must be overcome before AI can start designing, verifying, and implementing chips for us. Should AI replace the algorithms in use today, or does it have a different role to play? At the end of the day, AI is a technique that has strengths and weaknesses... » read more

Where And Why AI Makes Sense In Cars
By Ed Sperling - 02 Feb, 2023 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to talk about where AI makes sense in automotive and what are the main challenges, with Geoff Tate, CEO of Flex Logix; Veerbhan Kheterpal, CEO of Quadric; Steve Teig, CEO of Perceive; and Kurt Busch, CEO of Syntiant. What follows are excerpts of that conversation, which were held in front of a live audience at DesignCon. Part two of this... » read more

Will Floating Point 8 Solve AI/ML Overhead?
By Karen Heyman - 12 Jan, 2023 - Comments: 2

While the media buzzes about the Turing Test-busting results of ChatGPT, engineers are focused on the hardware challenges of running large language models and other deep learning networks. High on the ML punch list is how to run models more efficiently using less power, especially in critical applications like self-driving vehicles where latency becomes a matter of life or death. AI already ... » read more

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