category: Top Stories

category: Auto, Security & Edge AI

FPGA Design Tradeoffs Getting Tougher
By Ann Mutschler - 16 Sep, 2019 - Comments: 0

FPGAs are getting larger, more complex, and significantly harder to verify and debug. In the past, FPGAs were considered a relatively quick and simple way to get to market before committing to the cost and time of developing an ASIC. But today, both FPGAs and eFPGAs are being used in the most demanding applications, including cloud computing, AI, machine learning, and deep learning. In some ... » read more

3D Power Delivery
By Brian Bailey - 12 Sep, 2019 - Comments: 1

Getting power into and around a chip is becoming a lot more difficult due to increasing power density, but 2.5D and 3D integration are pushing those problems to whole new levels. The problems may even be worse with new packaging approaches, such as chiplets, because they constrain how problems can be analyzed and solved. Add to that list issues around new fabrication technologies and an emph... » read more

Trading Off Power And Performance Earlier In Designs
By Ann Mutschler - 12 Sep, 2019 - Comments: 0

Optimizing performance, power and reliability in consumer electronics is an engineering feat that involves a series of tradeoffs based on gathering as much data about the use cases in which a design will operate. Approaches vary widely by market, by domain expertise, and by the established methodologies and perspective of the design teams. As a result, one team may opt for a leading-edge des... » read more

Reducing Software Power
By Brian Bailey - 12 Sep, 2019 - Comments: 0

With the slowdown of Moore's Law, every decision made in the past must be re-examined to get more performance or lower power for a given function. So far, software has remained relatively unaffected, but it could be an untapped area for optimization and enable significant power reduction. The general consensus is that new applications such as artificial intelligence and machine learning, whe... » read more

How Hardware Can Bias AI Data
By Ed Sperling - 10 Sep, 2019 - Comments: 1

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

Test On New Technology’s Frontiers
By SE Staff - 10 Sep, 2019 - Comments: 2

Semiconductor testing is getting more complicated, more time-consuming, and increasingly it requires new approaches that have not been fully proven because the technologies they are addressing are so new. Several significant shifts are underway that make achieving full test coverage much more difficult and confidence in the outcome less certain. Among them: Devices are more connected an... » read more

Nvidia’s Top Technologists Discuss The Future Of GPUs
By SE Staff - 10 Sep, 2019 - Comments: 0

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

August 2019 Startup Funding Report
By Jeff Dorsch - 09 Sep, 2019 - Comments: 0

Last month, 18 startups received private funding rounds of $100 million or more. Software and cybersecurity startups were once again popular, while automotive, mobility, artificial intelligence/machine learning, and agriculture-related technology also saw a good deal of funding. Analytics, energy, Internet of Things, and robotics startups drew new funding, too. Those 18 companies together to... » read more

Autonomous Vehicles Are Reshaping The Tech World
By Kevin Fogarty - 05 Sep, 2019 - Comments: 0

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

The Race For Better Computational Software
By Ed Sperling - 05 Sep, 2019 - Comments: 0

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

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