Automotive System Design


Burkhard Huhnke, vice president of automotive at Synopsys, looks at how to build and update chips in increasingly sophisticated vehicles, where the problem spots are, and what comes next. » read more

Improving Edge Inferencing


Cheng Wang, senior vice president of engineering at Flex Logix, talks with Semiconductor Engineering about how to improve the efficiency and speed of edge inferencing chips, what causes bottlenecks, and why AI chips are different from other types of semiconductors. » read more

Complexity’s Impact On Security


Ben Levine, senior director of product management for Rambus’ Security Division, explains why security now depends on the growing number of components and the impact of interactions between those components. This is particularly problematic with AI chips, both on the training and inferencing side, where security problems on the training side can alter models for AI inferencing. » read more

Safety Critical Design In Automotive


Shiv Chonnad, hardware engineer at Synopsys, examines how to design chips for safety-critical applications such as automotive and ensure they work as planned and in accordance with ISO 26262 and the various ASIL levels. This includes how to find faults at both a chip and a system level. https://youtu.be/3dL4ZuSe5Ls » read more

Designing An AI SoC


Susheel Tadikonda, vice president of networking and storage at Synopsys, looks at how to achieve economies of scale in AI chips and where the common elements are across all the different architectures. https://youtu.be/fm0kxnj3DuM » read more

The Winograd Transformation


Cheng Wang, senior vice president of engineering at Flex Logix, explains how the Winograd Transformation applies to convolutional neural networks. https://youtu.be/E7QJUby9x-I » read more

Designing Networking Chips


Susheel Tadikonda, vice president of networking and storage at Synopsys, talks about what’s changed in the way networking chips are being designed to deal with a massive increase in data. One of those shifts involves software-defined networking, where the greatest complexity resides in the software. That also has a big impact on the entire design flow, from pre-silicon to post-silicon. htt... » read more

Benchmarks For The Edge


Geoff Tate, CEO of Flex Logix, talks about benchmarking in edge devices, particularly for convolutional neural networks. https://youtu.be/-beVEpKAM4M » read more

Edge Inferencing Challenges


Geoff Tate, CEO of Flex Logix, talks about balancing different variables to improve performance and reduce power at the lowest cost possible in order to do inferencing in edge devices. https://youtu.be/1BTxwew--5U » read more

Inferencing In Hardware


Cheng Wang, senior vice president of engineering at Flex Logix, examines shifting neural network models, how many multiply-accumulates are needed for different applications, and why programmable neural inferencing will be required for years to come. https://youtu.be/jb7qYU2nhoo         See other tech talk videos here. » read more

← Older posts