fish fry
Subscribe Now

New Avenues for ReRAM: When Every Bit is Critical

In this week’s podcast, we’re mixing up some resistive random-access memory, honey, and a dash of neuromorphic computing! It’s going to be delightful! Ashish Pancholy (General Manager and VP of Crossbar) joins me to discuss the biggest advantages of Crossbar’s resistive random-access memory (ReRAM) and why this kind of technology is perfect for secure applications, where every bit is critical. Also this week, I take a closer look at why honey might be a sweet solution for developing environmentally friendly components for neuromorphic computers. 

 

 

Click here to download this episode

 

Links for April 15, 2022

More information about Crossbar 

Honey holds potential for making brain-like computer chips (WSU)

Memristive synaptic device based on a natural organic material—honey for spiking neural network in biodegradable neuromorphic systems (Journal of Physics D: Applied Physics)

 

Click here to check out the Fish Fry Archive.

Click here to subscribe to Fish Fry via Podbean

Click here to get the Fish Fry RSS Feed

Click here to subscribe to Fish Fry via Apple Podcasts

Click here to subscribe to Fish Fry via Spotify

 

Fish Fry Executive Interviews

Anupam Bakshi, CEO – Agnisys

Dave Kleidermacher, CTO – Green Hills Software

Robert Blake, CEO – Achronix

Jack Harding, CEO – eSilicon

Michiel Ligthart, COO – Verific

Simon Davidmann, CEO – Imperas

Jessica Gomez – Rogue Valley Microdevices

Shishpal Rawat, Chairman – Accellera Systems Initiative

Kevin Bromber, CEO – myDevices

Daniel Hansson, CEO – Verifyter

Mark Papermaster, CTO – AMD

David Fried, CTO – Coventor

Dr. Steven LeBoeuf, President – Valencell

David Dutton, CEO – Silvaco

Bob Niemiec, CEO – TwistThink

Allan Martinson, COO – Starship Technologies

Zhihong Liu, Chairman and CEO – ProPlus Solutions

Taher Madraswala, CEO and President – Open-Silicon

Kapil Shankar, CEO and Director – AnDAPT

Dan Fox, CTO – Local Motors

Kim Rowe, Founder and CEO — RoweBots

Lawrence Cooke, Founder and CEO — NovaSolix

Gregg Recupero, CTO — Performance-IP

Alan Grau, CEO — Icon Labs

Carl Alberty, Vice President – Cirrus Logic

Maximilian Odendahl, CEO — Silexica

Finbarr Moynihan, General Manager — MediaTek

Sanjay Pillay, CEO — Austemper

Louis Parks, CEO – SecureRF

Harold Blomquist, CEO – Helix Semiconductor

Dale Dougherty and Sherry Huss, Co-Founders – Maker Faire

David Su, CEO – Atomic Technologies

Mung Chiang, EVP and Dean of Engineering College – Purdue University

Clay Johnson, CEO – CacheQ

Andy Hock, Vice President, Product – Cerebras Systems

Dan Goehl, Co-founder and Chief Business Officer – UltraSense Systems

Charlie Green, Chief Operating & Technical Officer – Powercast

Leave a Reply

featured blogs
Jan 26, 2023
Are you experienced in using SVA? It's been around for a long time, and it's tempting to think there's nothing new to learn. Have you ever come across situations where SVA can't solve what appears to be a simple problem? What if you wanted to code an assertion that a signal r...
Jan 24, 2023
We explain embedded magnetoresistive random access memory (eMRAM) and its low-power SoC design applications as a non-volatile memory alternative to SRAM & Flash. The post Why Embedded MRAMs Are the Future for Advanced-Node SoCs appeared first on From Silicon To Software...
Jan 19, 2023
Are you having problems adjusting your watch strap or swapping out your watch battery? If so, I am the bearer of glad tidings....
Jan 16, 2023
By Slava Zhuchenya So your net trace has too much parasitic resistance. Where is it coming from? You ran your… ...

featured video

Synopsys 224G & 112G Ethernet PHY IP OIF Interop at ECOC 2022

Sponsored by Synopsys

This Featured Video shows four demonstrations of the Synopsys 224G and 112G Ethernet PHY IP long and medium reach performance, interoperating with third-party channels and SerDes.

Learn More

featured chalk talk

Machine Learning at the Edge: Applications and Challenges

Sponsored by Mouser Electronics and Silicon Labs

Machine learning at the TinyEdge is the way of the future but how we incorporate machine learning into our designs can take a variety of different forms. In this episode of Chalk Talk, Amelia chats with Dan Kozin from Silicon Labs about how you can add machine learning to your next design. They investigate what machine learning workflows look like, what machine learning tools you can utilize and the key challenges you will encounter as a machine learning developer.

Click here for more information about Silicon Labs Series 2 Wireless SoCs