How Hardware Can Bias AI Data


Clean data is essential to good results in AI and machine learning, but data can become biased and less accurate at multiple stages in its lifetime—from moment it is generated all the way through to when it is processed—and it can happen in ways that are not always obvious and often difficult to discern. Blatant data corruption produces erroneous results that are relatively easy to ident... » read more

Nvidia’s Top Technologists Discuss The Future Of GPUs


Semiconductor Engineering sat down to discuss the role of the GPU in artificial intelligence, autonomous and assisted driving, advanced packaging and heterogeneous architectures with Bill Dally, Nvidia’s chief scientist, and Jonah Alben, senior vice president of Nvidia’s GPU engineering, at IEEE’s Hot Chips 2019 conference. What follows are excerpts of that conversation. SE: There are ... » read more

Week in Review – IoT, Security, Autos


Products/Services Rambus entered an exclusive agreement to acquire the Silicon IP, Secure Protocols, and Provisioning business from Verimatrix, formerly known as Inside Secure. Financial terms were not revealed. The transaction is expected to close this year. Rambus will use the Verimatrix offerings in such demanding applications as artificial intelligence, automotive, the Internet of Things, ... » read more

Autonomous Vehicles Are Reshaping The Tech World


The effort to build cars that can drive themselves is reshaping the automotive industry and its supply chain, impacting everything from who defines safety to how to ensure quality and reliability. Automakers, which hardly knew the names of their silicon suppliers a couple of years ago, are now banding together in small groups to share the costs and solve technical challenges that are well be... » read more

Machine Learning For Autonomous Drive


Advances in Artificial Intelligence (AI) and Machine Learning (ML) is arguably the biggest technical innovation of the last decade. Although the algorithms for AI have been in existence for many years, the recent explosion of both data as well as faster compute made it possible to apply those algorithms to solve many real life use cases. One of the most prominent of these use cases is fully aut... » read more

The Race For Better Computational Software


Anirudh Devgan, president of Cadence, sat down with Semiconductor Engineering to talk about computational software, why it's so critical at the edge and in AI systems, and where the big changes are across the semiconductor industry. What follows are excerpts of that conversation. SE: There is no consistent approach to how data will be processed at the edge, in part because there is no consis... » read more

Re-Architecting SoCs For The AI Era


The growth of artificial intelligence (AI) demands that semiconductor companies re-architect their system on chip (SoC) designs to provide more scalable levels of performance, flexibility, efficiency, and integration. From the edge to data centers, AI applications require a rethink of memory structures, the numbers and types of heterogeneous processors and hardware accelerators, and careful con... » read more

New Technologies To Support 3D-ICs


Semiconductor Engineering sat down to discuss changes required throughout the ecosystem to support three-dimensional (3D) chip design with Norman Chang, chief technologist for the Semiconductor Business Unit of ANSYS; John Park, product management director for IC packaging and cross-platform solutions at Cadence; John Ferguson, director of marketing for DRC applications at Mentor, a Siemens Bus... » read more

Week in Review: IoT, Security, Autos


Products/Services Rambus reports completing its acquisition of Northwest Logic, a supplier of memory, PCIe, and MIPI digital controllers. Meanwhile, the company named Sean Fan as chief operating officer. He previously served as vice president and general manager of the data center business unit at Renesas Electronics. Prior to its acquisition by Renesas earlier this year, Fan held senior execu... » read more

Taking Energy Into Account


Considering power throughout the SoC design flow is common practice. The same cannot be said for energy, although that is beginning to change as chips increasingly incorporate heterogeneous processing elements. Combined with this, AI/ML/DL technologies increasingly allow engineering teams to explore and optimize design data for more targeted and efficient systems. But this approach also requ... » read more

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