tag: Google

Improving PPA In Complex Designs With AI
By John Koon - 14 Feb, 2022 - Comments: 0

The goal of chip design always has been to optimize power, performance, and area (PPA), but results can vary greatly even with the best tools and highly experienced engineering teams. Optimizing PPA involves a growing number of tradeoffs that can vary by application, by availability of IP and other components, as well as the familiarity of engineers with different tools and methodologies. Fo... » read more

Week In Review: Auto, Security, Pervasive Computing
By Susan Rambo - 11 Feb, 2022 - Comments: 0

Pervasive computing, IoT and 5G Infineon added to its NFC (near-field communications) IP by acquiring NFC patent portfolios from France Brevets and Verimatrix. “With this acquisition, Infineon further strengthens its IP and technology portfolio, specifically in our leadership markets for security and connectivity for the IoT,” said Thomas Rosteck, president of Infineon’s Connected Secure... » read more

Week In Review: Auto, Security, Pervasive Computing
By Susan Rambo - 21 Jan, 2022 - Comments: 0

Security Arm shipped a prototype CHERI-enabled Morello processor, SoC, and board, the first products coming from the security Morello research program that aims to make more secure hardware that will block certain common attacks. The first board prototypes are going to testing teams at Google, Microsoft, and other major stakeholders and partners across the industry and academia.  The UKRI (UK... » read more

Improving Energy And Power Efficiency In The Data Center
By Ann Mutschler - 06 Dec, 2021 - Comments: 0

Energy costs in data centers are soaring as the amount of data being generated explodes, and it's being made worse by an imbalance between increasingly dense processing elements that are producing more heat and uneven server utilization, which requires more machines to be powered up and cooled. The challenge is to maximize utilization without sacrificing performance, and in the past that has... » read more

Will Markets For ML Models Materialize?
By Bryon Moyer - 02 Dec, 2021 - Comments: 0

Developers are spending increasing amounts of time and effort in creating machine-learning (ML) models for use in a wide variety of applications. While this will continue as the market matures, at some point some of these efforts might be seen as reinventing models over and over. Will developers of successful models ever have a marketplace in which they can sell those models as IP to other d... » read more

Startup Funding: November 2021
By Jesse Allen - 01 Dec, 2021 - Comments: 0

There's nothing virtual about the level of interest in AR/VR startups. As the concept of the 'metaverse' becomes more widespread with Nvidia's recent GTC announcements and Facebook's rebranding, investors poured money into startups with enabling technology for augmented, virtual, and extended reality. Most of those are developing waveguides and other display technology that is light enough to b... » read more

Gaps In The AI Debug Process
By Brian Bailey - 23 Nov, 2021 - Comments: 0

When an AI algorithm is deployed in the field and gives an unexpected result, it's often not clear whether that result is correct. So what happened? Was it wrong? And if so, what caused the error? These are often not simple questions to answer. Moreover, as with all verification problems, the only way to get to the root cause is to break the problem down into manageable pieces. The semico... » read more

A graph placement methodology for fast chip design
By Technical Paper Link - 09 Nov, 2021 - Comments: 0

Abstract "Chip floorplanning is the engineering task of designing the physical layout of a computer chip. Despite five decades of research1, chip floorplanning has defied automation, requiring months of intense effort by physical design engineers to produce manufacturable layouts. Here we present a deep reinforcement learning approach to chip floorplanning. In under six hours, our method autom... » read more

Improving Medical Image Processing With AI
By Susan Rambo - 04 Nov, 2021 - Comments: 0

Machine learning is being integrated with medical image processing, one of the most useful technologies for medical diagnosis and surgery, greatly expanding the amount of useful information that can be gleaned from scan or MRI. For the most part, ML is being used to augment manual processes that medical personnel use today. While the goal is to automate many of these functions, it's not clea... » read more

Easier And Faster Ways To Train AI
By Bryon Moyer - 04 Nov, 2021 - Comments: 0

Training an AI model takes an extraordinary amount of effort and data. Leveraging existing training can save time and money, accelerating the release of new products that use the model. But there are a few ways this can be done, most notably through transfer and incremental learning, and each of them has its applications and tradeoffs. Transfer learning and incremental learning both take pre... » read more

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