Memory In Microcontrollers


Gideon Intrater, CTO of Adesto, talks about how to use microcontrollers for applications where more memory is required, such as automotive, communication, and AI at the edge. Options include moving MCUs toward a more aggressive process node, adding external non-volatile memory, and execute-in-place types of architectures. » read more

How To Improve ML Power/Performance


Raymond Nijssen, vice president and chief technologist at Achronix, talks about the shift from brute-force performance to more power efficiency in machine learning processing, the new focus on enough memory bandwidth to keep MAC functions busy, and how dynamic range, precision and locality can be modified to improve speed and reduce power. » read more

Inferencing Efficiency


Geoff Tate, CEO of Flex Logix, talks with Semiconductor Engineering about how to measure efficiency in inferencing chips, how to achieve the most throughput for the lowest cost, and what the benchmarks really show. » read more

Verification In The Cloud


Christen Decoin, senior director of business development at Synopsys, talks with Semiconductor Engineering about what’s changed for EDA in the cloud, why it has taken so long, and what new benefits the cloud will offer. Rules have changed at foundries, and the customer base for designs is evolving. » read more

Advanced Process Control


David Fried, vice president of computational products at Lam Research, looks at shrinking tolerances at advanced processes, how that affects variation in semiconductor manufacturing, and what can be done to achieve the benefits of scaling without moving to new transistor architectures. » read more

Memory Options And Tradeoffs


Steven Woo, Rambus fellow and distinguished inventor, talks with Semiconductor Engineering about different memory options, why some are better than others for certain tasks, and what the tradeoffs are between the different memory types and architectures.     Related Articles/Videos Memory Tradeoffs Intensify In AI, Automotive Applications Why choosing memories and archi... » read more

Using ML For Post-Silicon Validation


Ira Leventhal, vice president of Advantest’s new concept product initiative, talks about how to use machine learning to ferret out hidden relationships in a complex design and to utilize that data to improve chips. » read more

5G Design Changes


Mike Fitton, senior director of strategic planning at Achronix, talks with Semiconductor Engineering about the two distinct parts of 5G deployment, how to get a huge amount of data from the core to the edge of a device where it is usable, and how a network on chip can improve the flow of data. » read more

Holes In AI Security


Mike Borza, principal security technologist in Synopsys’ Solutions Group, explains why security is lacking in AI, why AI is especially susceptible to Trojans, and why small changes in training data can have big impacts on many devices. » read more

ATE Lab To Fab


Shu Li, business development manager at Advantest, zeroes in on the communication gap between engineers on the design side and the manufacturing/test side, why it exists, and what needs to be done to bridge that gap in order to speed up and improve test quality. https://youtu.be/Nd-5_twbJBw     See other tech talk videos here » read more

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