category: Videos

category: IoT, Security & Automotive

How Chips Age
By Ed Sperling - 20 Jan, 2020 - Comments: 1

Andre Lange, group manager for quality and reliability at Fraunhofer IIS’ Engineering of Adaptive Systems Division, talks about circuit aging, whether current methods of predicting reliability are accurate for chips developed at advanced process nodes, and where additional research is needed. » read more

Bridging Math And Engineering In ML
By Ed Sperling - 08 Jan, 2020 - Comments: 0

Steve Roddy, vice president of products for Arm’s Machine Learning Group, examines the intersection of high-level mathematics in the data science used in machine learning within area, speed, and power limitations, and how to bring these two worlds together with the least amount of disruption. » read more

Thermal Challenges In Advanced Packaging
By Ed Sperling - 02 Dec, 2019 - Comments: 2

CT Kao, product management director at Cadence, talks with Semiconductor Engineering about why packaging is so complicated, why power and heat vary with different use cases and over time, and why a realistic power map is essential particularly for AI chips, where some circuits are always on.   Interested in more Semiconductor Engineering videos? Sign-up for our YouTube channel here » read more

Electromagnetic Challenges In High-Speed Designs
By Ed Sperling - 25 Nov, 2019 - Comments: 0

ANSYS’ Anand Raman, senior director, and Nermin Selimovic, product sales specialist, talk with Semiconductor Engineering about how to deal with rising complexity and tighter tolerances in AI, 5G, high-speed SerDes and other chips developed at the latest process nodes where the emphasis is on high performance and low power. » read more

Die-To-Die Connectivity
By Ed Sperling - 22 Nov, 2019 - Comments: 0

Manmeet Walia, senior product marketing manager at Synopsys, talks with Semiconductor Engineering about how die-to-die communication is changing as Moore’s Law slows down, new use cases such as high-performance computing, AI SoCs, optical modules, and where the tradeoffs are for different applications.   Interested in more Semiconductor Engineering videos? Sign-up for our YouTu... » read more

Making Sense Of Inferencing Options
By Ed Sperling - 19 Nov, 2019 - Comments: 0

Ian Bratt, fellow in Arm’s machine learning group, sheds light on all the different processing elements in machine learning, how different end user requirements affect those choices, why CPUs are a critical element in orchestrating what happens in these systems, and how power and software play into these choices. » read more

Reducing Data At The Source
By Ed Sperling - 18 Nov, 2019 - Comments: 0

Jens Döge, group manager for image acquisition and processing in Fraunhofer IIS’ Engineering of Adaptive Systems Division, talks about how to slash the amount of data that needs to be sent to the cloud or edge for processing by focusing only on the regions of interest in an image, and how that reduces the cost of moving that data. » read more

GDDR6 Drilldown: Applications, Tradeoffs And Specs
By Ed Sperling - 15 Nov, 2019 - Comments: 0

Frank Ferro, senior director of product marketing for IP cores at Rambus, drills down on tradeoffs in choosing different DRAM versions, where GDDR6 fits into designs versus other types of DRAM, and how different memories are used in different vertical markets. » read more

Thermal Challenges And Moore’s Law
By Ed Sperling - 22 Oct, 2019 - Comments: 0

Steven Woo, fellow and distinguished inventor at Rambus, looks at the evolution of graphics cards over a couple of decades and how designs changed to deal with more graphics and more heat, and why smaller, faster and cheaper doesn’t apply in this market. » read more

Making Sense Of ML Metrics
By Ed Sperling - 16 Oct, 2019 - Comments: 0

Steve Roddy, vice president of products for Arm’s Machine Learning Group, talks with Semiconductor Engineering about what different metrics actually mean, and why they can vary by individual applications and use cases. » read more

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