tag: AI accelerators

The Benefits Of Using Embedded Sensing Fabrics In AI Devices
By Moortec - 11 Nov, 2020 - Comments: 0

AI chips, regardless of the application, are not regular ASICs and tend to be very large, this essentially means that AI chips are reaching the reticle limits in-terms of their size. They are also usually dominated by an array of regular structures and this helps to mitigate yield issues by building in tolerance to defect density due to the sheer number of processor blocks. The reason behind... » read more

ResNet-50 Does Not Predict Inference Throughput For MegaPixel Neural Network Models
By Geoff Tate - 05 Nov, 2020 - Comments: 1

Customers are considering applications for AI inference and want to evaluate multiple inference accelerators. As we discussed last month, TOPS do NOT correlate with inference throughput and you should use real neural network models to benchmark accelerators. So is ResNet-50 a good benchmark for evaluating relative performance of inference accelerators? If your application is going to p... » read more

AI & IP In Edge Computing For Faster 5G And The IoT
By Ron Lowman - 10 Sep, 2020 - Comments: 0

Edge computing, which is the concept of processing and analyzing data in servers closer to the applications they serve, is growing in popularity and opening new markets for established telecom providers, semiconductor startups, and new software ecosystems. It’s brilliant how technology has come together over the last several decades to enable this new space starting with Big Data and the idea... » read more

The Emergence Of Hardware As A Key Enabler For The Age Of Artificial Intelligence
By Stelios Diamantidis - 13 Aug, 2020 - Comments: 0

Over the past few decades, software has been the engine of innovation for countless applications. From PCs to mobile phones, well-defined hardware platforms and instruction set architectures (ISA) have enabled many important advancements across vertical markets. The emergence of abundant-data computing is changing the software-hardware balance in a dramatic way. Diverse AI applications in fa... » read more

Interconnect Challenges Grow, Tools Lag
By Brian Bailey - 15 Jun, 2020 - Comments: 2

Interconnects are becoming much more problematic as devices shrink and the amount of data being moved around a system continues to rise. This limitation has shown up several times in the past, and it's happening again today. But when the interconnect becomes an issue, it cannot be solved in the same way issues are solved for other aspects of a chip. Typically it results in disruption in how ... » read more

ML, Edge Drive IP To Outperform Broader Chip Market
By Kevin Fogarty - 03 Oct, 2019 - Comments: 0

The market for third-party semiconductor IP is surging, spurred by the need for more specific capabilities across a wide variety of markets. While the IP industry is not immune to steep market declines in semiconductor industry, it does have more built-in resilience than other parts of the industry. Case in point: The top 15 semiconductor suppliers were hit with an 18% decline in 2019 first-... » read more

AI Chip Architectures Race To The Edge
By Kevin Fogarty - 28 Nov, 2018 - Comments: 0

As machine-learning apps start showing up in endpoint devices and along the network edge of the IoT, the accelerators that make AI possible may look more like FPGA and SoC modules than current data-center-bound chips from Intel or Nvidia. Artificial intelligence and machine learning need powerful chips for computing answers (inference) from large data sets (training). Most AI chips—both tr... » read more

AI Accelerator Gyrfalcon Soars Post Stealth
By Kevin Fogarty - 12 Nov, 2018 - Comments: 0

Milpitas, Calif.-based startup Gyrfalcon Technology Inc. (GTI), which emerged from semi-stealth mode in September, recently announced the datacenter-focused second generation of its neural-network accelerator, which was first aimed at the endpoint. GTI is not alone: The endpoint market is growing. By 2022, 25% of endpoint devices will execute AI algorithms (inference for neural network appli... » read more

The Next Phase Of Machine Learning
By Kevin Fogarty - 09 Nov, 2017 - Comments: 0

Machine learning is all about doing complex calculations on huge volumes of data with increasing efficiency, and with a growing stockpile of success stories it has rapidly evolved from a rather obscure computer science concept into the go-to method for everything from facial recognition technology to autonomous cars. [getkc id="305" kc_name="Machine learning"] can apply to every corporate fu... » read more

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