EEJournal

fish fry
Subscribe Now
June 17, 2011

The Times They Are A Changin’

Moshe Gavrielov Gets His Zynq On and IBM Rolls Out a Graphene IC
by Amelia Dalton

In this week’s Fish Fry, my special guest is Xilinx CEO Moshe Gavrielov who chats with me about their new Zynq embedded processing platform and how he sees this new addition not only changing the course of the Xilinx roadmap going forward but also where he thinks the FPGA industry is headed as a whole.

Also this week, I explore the new Graphene IC unveiled by IBM and check out the Freescale/BMW collaboration that just might make parking our cars just a little bit easier.

And, in keeping with the Xilinx theme, you’ll definitely want to get in on the competition for this week’s awesome nerdy giveaway – a Spartan-6 LX9 MicroBoard,  and as usual you’ll need to tune in to find out how to win.

If you like the idea of this new series be sure to drop a comment in the box below.

 

Watch Previous Fish Frys

Fish Fry Links – June 17, 2011

BMW/Freescale 360 degree Parking Assistance Collaboration

IBM Rolls Out the First Graphene Integrated Circuit

Zynq-7000 Extensible Processing Platform

Avnet Spartan-6 LX9 MicroBoard

Leave a Reply

featured blogs
Optimizing OTA Updates with Silicon Labs' Delta DFU Technology
Nov 15, 2024
Explore the benefits of Delta DFU (device firmware update), its impact on firmware update efficiency, and results from real ota updates in IoT devices....
More from Silicon Labs...
Foiling Halloween Candy Thieves
Nov 13, 2024
Implementing the classic 'hand coming out of bowl' when you can see there's no one under the table is very tempting'¦...
More from Max's Cool Beans...

featured video

Introducing FPGAi – Innovations Unlocked by AI-enabled FPGAs

Sponsored by Intel

Altera Innovators Day presentation by Ilya Ganusov showing the advantages of FPGAs for implementing AI-based Systems. See additional videos on AI and other Altera Innovators Day in Altera’s YouTube channel playlists.

Learn more about FPGAs for Artificial Intelligence here

featured paper

Quantized Neural Networks for FPGA Inference

Sponsored by Intel

Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application.

Click to read more

featured chalk talk

Machine Learning on the Edge
Sponsored by Mouser Electronics and Infineon
Edge machine learning is a great way to allow embedded devices to run applications that can collect sensor data and locally process that data. In this episode of Chalk Talk, Amelia Dalton and Clark Jarvis from Infineon explore how the IMAGIMOB Studio, ModusToolbox™ Software, and PSoC and AURIX™ microcontrollers can help you develop a custom machine learning on the edge application from scratch. They also investigate how the IMAGIMOB Studio can help you easily develop and deploy AI/ML models and the benefits that the PSoC™ 6 Artificial Intelligence Evaluation Kit will bring to your next machine learning on the edge application design process.
Click here for more information about Infineon Technologies CY8CKIT-062S2-AI PSoC™ 6 AI Evaluation Kit
Aug 12, 2024
56,189 views