tag: AI

Revving Up For Edge Computing
By Ed Sperling - 07 Nov, 2019 - Comments: 1

The edge is beginning to take shape as a way of limiting the amount of data that needs to be pushed up to the cloud for processing, setting the stage for a massive shift in compute architectures and a race among chipmakers for a stake in a new and highly lucrative market. So far, it's not clear which architectures will win, or how and where data will be partitioned between what needs to be p... » read more

Simultaneous Localization And Mapping
By Ed Sperling - 06 Nov, 2019 - Comments: 0

Amol Borkar, senior product manager at Cadence, explains how to track the movement of an object in a scene and how to match features from one image to the next using SLAM. The technology is used in everything from mobile phones to automotive and drones. » read more

Service Revenue Growing With Chip Complexity
By Ann Mutschler - 04 Nov, 2019 - Comments: 0

Rising complexity, new markets, and a shortage of in-house expertise are beginning to rekindle demand for services for the first time in nearly a decade. The semiconductor industry has been racing to design chips for a variety of new and existing applications, but they are facing challenges on a number of fronts: Leading-edge chips require new architectures due to a sharp reduction in s... » read more

Which Verification Engine When
By Ed Sperling - 31 Oct, 2019 - Comments: 0

Frank Schirrmeister, group director for product marketing at Cadence, talks about which tools get used throughout the design flow, from architecture to simulation, formal verification, emulation, prototyping all the way to production, how the cloud has impacted the direction of the flow, and how machine learning will impact verification. » read more

Visually Assisted Layout In Custom Design
By Ed Sperling - 29 Oct, 2019 - Comments: 0

Avina Verma, group director for R&D in Synopsys’ Design Group, explains why visual feedback and graphical guidance are so critical in complex layouts, particularly for mixed-signal environments. » read more

Week in Review: IoT, Security, Autos
By Jeff Dorsch - 25 Oct, 2019 - Comments: 0

Products/Services Rambus reports completing the sale of its Payments and Ticketing businesses to Visa for $75 million in cash. “With 30 years of experience pushing the envelope in semiconductor design, we look toward a future of continued innovation to carry on our mission of making data faster and safer,” Rambus President and CEO Luc Seraphin said in a statement. “Completing this transa... » read more

IP Management And Development At 5/3nm
By Ann Mutschler - 24 Oct, 2019 - Comments: 1

The growing complexity of moving to new process nodes is making it much more difficult to create, manage and re-use IP. There are more rules, more data to manage, and more potential interactions as density increases, both in planar implementations and in advanced packaging. And the problems only get worse as designs move to 5nm and 3nm, and as more heterogeneous components such as accelerato... » read more

Making Random Variation Less Random
By Ed Sperling - 21 Oct, 2019 - Comments: 0

The economics for random variation are changing, particularly at advanced nodes and in complex packaging schemes. Random variation always will exist in semiconductor manufacturing processes, but much of what is called random has a traceable root cause. The reason it is classified as random is that it is expensive to track down all of the various quirks in a complex manufacturing process or i... » read more

Week in Review: IoT, Security, Autos
By Jeff Dorsch And Susan Rambo - 18 Oct, 2019 - Comments: 0

Products/Services The Networking for Autonomous Vehicles Alliance announces that Marvell Semiconductor is joining the NAV Alliance following its acquisition of Aquantia. Fourteen companies are in the industry organization, including Bosch, Continental, Nvidia, and Volkswagen. “The NAV Alliance is developing the platforms that will create the future of transportation and we believe that Multi... » read more

Bolstering Security For AI Applications
By Neeraj Paliwal - 14 Oct, 2019 - Comments: 0

Hardware accelerators that run sophisticated artificial intelligence (AI) and machine learning (ML) algorithms have become increasingly prevalent in data centers and endpoint devices. As such, protecting sensitive and lucrative data running on AI hardware from a range of threats is now a priority for many companies. Indeed, a determined attacker can either manipulate or steal training data, inf... » read more

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