Transforming AI Models For Accelerator Chips


AI is all about speeding up the movement and processing of data. Ali Cheraghi, solution architect at Flex Logix, talks about why floating point data needs to be converted into integer point data, how that impacts power and performance, and how different approaches in quantization play into this formula. » read more

Zero Dark Silicon


Planning for AI requires an understanding of how much data needs to be processed and how quickly that needs to happen. Nick Ni, senior director of data center AI and compute markets at AMD, talks with Semiconductor Engineering about data bubbles and domain-specific designs, why dark silicon is no longer as useful as in the past, and how to optimize power and performance in both the data center ... » read more

Speeding Up AI Algorithms


AI at the edge is very different than AI in the cloud. Salvador Alvarez, solution architect director at Flex Logix, talks about why a specialized inferencing chip with built-in programmability is more efficient and scalable than a general-purpose processor, why high-performance models are essential for getting accurate real-time results, and how low power and ambient temperatures can affect the... » read more

Better Video Compression


Video data is increasing, but bandwidth is not increasing quickly enough. One solution is to compress that data, but the challenge is to do that without impacting resolution. Rob Green, AMD’s senior manager for Pro AV, Broadcast & Consumer, talks about what’s changing in video compression, from new standards to better analytics, virtualization, what impact AR/VR will have, and a compari... » read more

Common Weakness Enumeration


Understanding potential design vulnerabilities up front can help prevent future cyberattacks. Jason Oberg, CTO at Tortuga Logic, talks with Semiconductor Engineering about why CWE is so important, when it needs to be considered, and why no hardware design is completely bulletproof. » read more

Cataloging IP In The Enterprise


Many companies have no way of documenting where IP they license is actually used, which version of that IP is being utilized, and whether that license extends to other projects or even to their customers. Pedro Pires, applications engineer at ClioSoft, looks at how IP currently is cataloged, why it’s been so difficult to do this in the past, and how AI can be used to speed up and simplify thi... » read more

Why Traceability Matters


More heterogeneous and increasingly dense chip designs make it much harder to stay on track with initial specifications. Paul Graykowski, senior technical marketing manager at Arteris IP, talks about matching requirements to the design, the impact of ECOs and other last-minute changes, and best practices for managing revisions. » read more

The Risk Of Losing Track Of Your IP


What happens when you misuse IP, intentionally or otherwise? Pedro Pires, applications engineer at Cliosoft, talks about the challenges of keeping track of IP across multiple chip design projects, which can grow to include dozens of third-party IP blocks, last for long periods of years, and span multiple continents. » read more

Radiation Hardening Chips For Outer Space


What’s the difference between radiation tolerant and radiation hardening, and where is each one used? Minal Sawant, director of the aerospace and defense vertical market at Xilinx, talks about different striations in the Earth’s atmosphere, how those various levels can affect radiation, and what impact that has on the functionality of increasingly dense chip circuits over extended periods o... » read more

Creating IoT Devices That Will Remain Secure


What’s secure today may not be secure in the future, and even if you include an IoT device with state-of-the-art security, it may be surrounded by less secure devices. Steve Hanna, distinguished engineer at Infineon, examines the impact of security on IoT adoption, why resilience across a system is the new target for secure designs, and how to minimize the impact of less secure devices. » read more

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