category: Videos

category: IoT, Security & Automotive

Simplifying AI Edge Deployment
By Ed Sperling - 10 Oct, 2022 - Comments: 0

Barrie Mullins, vice president of product at Flex Logix, explains how a programmable accelerator chip can simplify semiconductor design at the edge, where chips need to be high performance as well as low power, yet developing everything from scratch is too expensive and time-consuming. Programmability allows these systems to stay current with changes in algorithms, which can affect everything f... » read more

Using eFPGAs For Security
By Ed Sperling - 21 Sep, 2022 - Comments: 0

Andy Jaros, vice president at Flex Logix, talks about the use of eFPGAs to keep pace with security risks over longer chip lifetimes, how configurable RTL can help, and why systems companies are altering the playing field for FPGAs. » read more

Quantum Computing
By Ed Sperling - 12 Sep, 2022 - Comments: 0

Sebastian Luber, senior director of technology and innovation at Infineon Technologies, talks about the growing interest in quantum computers, what’s still missing to make this technology more relevant, and how to improve the lifespan and accuracy of qubits. » read more

Boosting Data Management System Performance
By Ed Sperling - 07 Sep, 2022 - Comments: 0

Marios Karatzias, application engineer at ClioSoft, talks with Semiconductor Engineering about the increasing use and re-use of IP in designs, how to best keep track of that IP, and how to optimize the performance of the data management system to deal with IP in heterogeneous chips. This is particularly important in automotive and industrial applications, where a specific version of IP may have... » read more

Co-Packaged Optics In The Data Center
By Ed Sperling - 08 Jun, 2022 - Comments: 0

Just because faster Ethernet is added to the data center doesn’t mean existing hardware can utilize it efficiently. Scott Durrant, strategic marketing manager at Synopsys, talks with Semiconductor Engineering about the rapid rollout of faster Ethernet rates, problems in moving data to the front module of the switch and how much energy is required, and what optical technology can bring to the ... » read more

Deep Learning In Industrial Inspection
By Ed Sperling - 24 May, 2022 - Comments: 0

Deep learning is at the upper end of AI complexity, sifting through more data to achieve more accurate results. Charlie Zhu, vice president of R&D at CyberOptics, talks about how DL can be utilized with inspection to identify defects in chips that are not discernible by traditional computer vision algorithms, classifying multiple objects simultaneously from multiple angles and taking into accou... » read more

Protecting ICs Against Specific Threats
By Ed Sperling - 18 May, 2022 - Comments: 0

Identifying potential vulnerabilities and attack vectors is a first step in addressing them. Anders Nordstrom, security application engineer at Tortuga Logic, talks with Semiconductor Engineering about the growing risk of remote hardware attacks, what to do when a chip is hacked, and where to find the most common weaknesses for chips. » read more

Transforming AI Models For Accelerator Chips
By Ed Sperling - 17 May, 2022 - Comments: 0

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
By Ed Sperling - 09 May, 2022 - Comments: 0

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

Using GPUs In Semiconductor Manufacturing
By Ed Sperling - 25 Apr, 2022 - Comments: 0

Massive simulation and curvilinear shapes are forcing the photomask industry to rethink what types of chips work best. Aki Fujimura, CEO of D2S, talks about what happens when shapes printed on a mask are closer to what actually gets printed, how GPUs can be used to accelerate CPUs in single instruction/multiple data (SIMD) operations, and why pixel data is different from other data. » read more

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