Machine Learning
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High-End FPGA Showdown – Part 3

In part 1 of this series, we looked at new high-end FPGA families from Xilinx, Intel, and Achronix and discussed their underlying semiconductor processes, the type and amount of programmable logic LUT fabric, the type and amount of DSP/arithmetic resources and their applicability to AI inference acceleration tasks, the claimed TOPS/FLOPS performance capabilities, and on-chip interconnect … Read More → "High-End FPGA Showdown – Part 3"

SoCs for ML Training

Most of what I’ve covered in the past has been about machine-learning inference. For anyone newly wading into this space, machine learning has two phases. In the first phase, a model is trained; in the second phase, that model is deployed for its intended application – inferring something about real-world input in accordance with the training. It can also be helpful to split training into two: generic training and then model implementation on a specific inference platform. … Read More → "SoCs for ML Training"

The Artificial Intelligence Apocalypse (Part 3)

In Part 1 of this 3-part miniseries, we discussed the origins of artificial intelligence (AI), and we considered some low-hanging AI-enabled fruit in the form of speech recognition, voice control, and machine vision. In Part 2, we noted some of the positive applications of AI, like recognizing skin cancer, identifying the source of … Read More → "The Artificial Intelligence Apocalypse (Part 3)"

The Artificial Intelligence Apocalypse (Part 2)

In Part 1 of this 3-part miniseries, we cogitated and ruminated on the origins of artificial intelligence (AI). We also started to look at some of the “happy face” aspects of AI in the form of speech recognition, voice control, and machine vision.

Let’s continue with our happy faces for a moment. AI is now turning up in … Read More → "The Artificial Intelligence Apocalypse (Part 2)"

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featured blogs
Nov 14, 2019
In addition to playing retro games, THEC64 allows you to write your own programs in C64 or VIC 20 BASIC....
Nov 14, 2019
The Cadence Academic Network hosted an Academic Speaker Series event, in collaboration with the Shanghai Site Technical Talk series, in Cadence Shanghai Office. The talk attracted more than 150... [[ Click on the title to access the full blog on the Cadence Community site. ]...
Nov 14, 2019
Scientists, researchers, and data analysts from academia, industry and government agencies will be center stage at SC19 next week in Denver. SC19 is the International Conference for High Performance Computing, Networking, Storage, and Analysis. Next-generation high-performanc...
Nov 13, 2019
By Elven Huang – Mentor, A Siemens Business SRAM debugging at advanced nodes is challenging. With pattern matching and similarity checking, Calibre tools enable designers to more quickly and precisely locate SRAM modification errors and determine the correct fix. Static...
Nov 8, 2019
[From the last episode: we looked at the differences between computing at the edge and in the cloud.] We'€™ve looked at the differences between MCUs and SoCs, but the one major thing that they have in common is that they have a CPU. Now'€¦ anyone can define their own CPU ...
chalk talks
Machine Learning at the Edge — NXP and Mouser Electronics  AI and neural networks are part of almost every new system design these days. But, most system designers are just coming to grips with the implications of designing AI into their systems. In this episode of Chalk Talk, Amelia Dalton chats with Anthony Huereca of NXP about the ins and outs of machine learning … Read More → "Machine Learning at the Edge — NXP and Mouser Electronics"
Computing at the Edge — NXP and Mouser Electronics  Edge computing is not the realm of one-size-fits-all computing. Real-world systems have a variety of node hardware that needs to be managed and secured. In this episode of Chalk Talk, Amelia Dalton chats with Altaf Hussain from NXP about the complications of (and some solutions for) edge computing with NXP’s Layerscape processors. Click here … Read More → "Computing at the Edge — NXP and Mouser Electronics"
BlueNRG-Tile — STMicroelectronics and Mouser   When doing IoT designs, there is no reason to reinvent the wheel. STMicroelectronics has a sensor development kit based on their BlueNRG-2 Bluetooth low-energy SoC that makes IoT design a snap. In this episode of Chalk Talk, Amelia Dalton chats with Francesco Doddo of STMicroelectronics about the BlueNRG-2 development kit. Click here for … Read More → "BlueNRG-Tile — STMicroelectronics and Mouser"