From Silicon To Software

Archive for the 'Machine Learning' Category

 

Top 5 HPC Trends to Come in 2023

We share our predictions for high performance computing (HPC) in 2023, including the growth of edge computing solutions and the rise of AI and machine learning.

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Posted in Artificial Intelligence, HPC, Machine Learning

 

Navigating the Era of Autonomous Design for Powerful Compute with Hardware

President & COO Sassine Ghazi explained how AI can transform chip design flows into autonomous design instruments during his 2022 AI Hardware Summit keynote.

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Posted in Artificial Intelligence, EDA, Machine Learning

 

Shifting Left with Machine Learning to Avoid 4 Key Memory Development Bottlenecks

We explore how machine-learning-powered memory design techniques help chip designers shift memory development left, improving turnaround time and PPA results.

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Posted in EDA, Machine Learning

 

The Next Era of Chip Design Starts with Curiosity, Big Data, and Machine Learning

Learn how DesignDash’s machine learning accelerates the chip design process with insights from Forbes, Design News, eeNews Europe, and Semiconductor Engineering.

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Posted in EDA, Machine Learning

 

Uncovering Actionable Chip Design Insights Through ML-Driven Big Data Analytics

We explain how machine learning uncovers actionable insights throughout the chip design flow and how DesignDash accelerates debugging and design optimization.

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Posted in Artificial Intelligence, EDA, Machine Learning, Product Spotlight

 

How Synopsys Point-of-Care 3D Printing Helps Clinicians and Patients

Explore the world of point-of-care (POC) anatomical 3D printing and learn how our AI-enabled Simpleware software eliminates manual segmentation & landmarking.

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Posted in Healthcare, Machine Learning, Product Spotlight

 

With AI-Driven Chip Design, So Much Is Possible

We explain how AI-powered chip design opens new doors for chip makers and how AI chips at the edge & hyperscale data centers are increasing compute performance.

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Posted in Artificial Intelligence, EDA, Machine Learning

 

3 Key Challenges for Memory Chip Designers to Tackle

Explore three key memory chip design challenges and the electronic design automation (EDA) tools helping designers optimize PPA, turnaround time, and more.

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Posted in Artificial Intelligence, Automotive, EDA, HPC, Internet of Things, IP, Machine Learning

 

How Do You Know When Chip Verification Is Truly Finished?

We explore chip design verification and EDA tools that increase functional verification efficiency to meet coverage goals and find more bugs in less time.

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Posted in Artificial Intelligence, Machine Learning, Verification

 

4 Futuristic Design Takeaways from the AI Hardware Summit 2021

We share AI chip design insights from AI Hardware Summit 2021, including wafer scale AI accelerator chips, high-bandwidth memory interfaces, and custom SoCs.

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Posted in Artificial Intelligence, EDA, Machine Learning