tag: AI

Accelerate Adoption Of High-Speed, Low-Latency, Cache-Coherent Standards Using Formal Verification
By Cadence - 09 Jun, 2021 - Comments: 0

We continue to see huge growth in data and compute demand, fueled by increased global data traffic with the 5G rollout, the prevalence of streaming services, and expanded artificial intelligence and machine learning (AI/ML) applications. Several new industry-standard specifications have emerged in recent years to define the protocols of the underlying electronic components and IP building block... » read more

There’s More To Machine Learning Than CNNs
By Bryon Moyer - 09 Jun, 2021 - Comments: 1

Neural networks – and convolutional neural networks (CNNs) in particular – have received an abundance of attention over the last few years, but they're not the only useful machine-learning structures. There are numerous other ways for machines to learn how to solve problems, and there is room for alternative machine-learning structures. “Neural networks can do all this really comple... » read more

Failure Mechanism Detection Algorithm With MOSFET Body Diode
By Fraunhofer IIS/EAS - 09 Jun, 2021 - Comments: 0

Autonomous driving is playing a big role in the automotive industry and defines the future of mobility on a big scale. However, autonomous driving faces several challenges, such as the performance of artificial intelligence and hardware reliability. To ensure safe functionality, the reliability of the electronic components plays an essential role and must be taken into consideration. One aspect... » read more

3 Technologies That Will Challenge Test
By Ed Sperling - 08 Jun, 2021 - Comments: 0

As chips are deployed in more complex systems and with new technologies, it's not clear exactly what chipmakers and systems vendors will be testing. The standard tests for voltage, temperature and electrical throughput still will be needed, of course. But that won't be sufficient to ensure that sensor fusion, machine learning, or millimeter wave 5/6G will be functioning properly. Each of tho... » read more

Fab Fingerprint For Proactive Yield Management
By Onto Innovation - 08 Jun, 2021 - Comments: 0

The following paper presents a case study describing how to improve yield and fab productivity by implementing a frequent pattern database that utilizes artificial intelligence-based spatial pattern recognition (SPR) and wafer process history. This is important because associating spatial yield issues with process and tools is often performed as a reactive analysis, resulting in increased wafer... » read more

Configuring AI Chips
By Ed Sperling - 04 Jun, 2021 - Comments: 0

Change is almost constant in AI systems. Vinay Mehta, technical product marketing manager at Flex Logix, talks about the need for flexible architectures to deal with continual modifications in algorithms, more complex convolutions, and unforeseen system interactions, as well as the ability to apply all of this over longer chip lifetimes. Related Dynamically Reconfiguring Logic A differ... » read more

Automotive AI Hardware: A New Breed
By Kurt Shuler - 03 Jun, 2021 - Comments: 0

Arteris IP functional safety manager Stefano Lorenzini recently presented “Automotive Systems-on-Chip (SoCs) with AI/ML and Functional Safety” at the Linley Processor Conference. A main point of the presentation was that conventional wisdom on AI hardware markets is binary. There’s AI in the cloud: Big, power-hungry, general-purpose. And there’s AI at the edge: Small, low power, limited... » read more

The Case For FPGAs In Cars
By Bryon Moyer - 03 Jun, 2021 - Comments: 0

Field-programmable gate arrays (FPGAs) thrive in rapidly evolving new markets before being replaced by hard-wired ASICs, but in automotive that crossover is likely to happen significantly later than in the past. Historically, FPGAs have held temporary positions until volumes increased enough to cost-reduce the FPGAs out in favor of a hardened version. With automobiles, there are so many chan... » read more

Security Solutions for AI/ML
By Rambus - 02 Jun, 2021 - Comments: 0

AI/ML is increasingly pervasive across all industries driven by a massive wave of digitization. Data, the raw material of AI/ML and Deep Learning algorithms, is available in enormous quantities from all aspects of business operations. AI/ML promises great gains in responsiveness and adaptability in an ever-changing technology landscape, and industries are enthusiastically responding to that app... » read more

AI Testing: Pushing Beyond DFT Architectures
By Rahul Singhal - 27 May, 2021 - Comments: 0

Every day, more applications are deploying artificial intelligence (AI) system to increase automation beyond traditional systems. The continuous growth in computing demands of AI systems require designers to develop massive, highly parallel AI processor chips. Their large sizes and types of applications have a significant impact on their design and test methodologies. With thousands of repeated... » read more

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