Darshan C G

Deep Learning Hardware/Software || Accelerating Deep Learning Computing || Chess Player

[Vivek Galatage @vivekgalatage]

During one of the interactions with students at IISc today, we briefly talked about SIMD. And I can't recommend this article enough for understanding the details behind it - a must-read.

https://t.co/Xs5iTHRFjT

[anand mahindra @anandmahindra]

I will never,EVER again complain about petty problems in my life. #SheetalDevi you are a teacher to us all. Please pick any car from our range & we will award it to you & customise it for your use.

[L-SPARK @LSPARKGlobal]

We’re THRILLED to introduce the companies in the Blackberry IVY L-SPARK Accelerator!

@Deepliteai
@RavenConnected
Sensor Cortek
Wedge Networks

Learn more about how these companies are creating solutions to improve driver + passenger experiences 🚘 https://t.co/ZmamK6InjE

[Sara Hooker @sarahookr]

fantastic blog post by @chipro

https://t.co/ydV7mutppk

"With so many new offerings for hardware to run ML models on, one question arises: how do we make a model built with an arbitrary framework run on arbitrary hardware?"

[AI at Meta @AIatMeta]

Introducing TT-Rec, a new method to dramatically shrink memory-intensive Deep Learning Recommendation Models and make them easier to deploy at scale. https://t.co/IiGmIakkZZ

[ODSC (Open Data Science Conference) AI @_odsc]

ODSC APAC Virtual Conference Speaker: https://t.co/KLNidT98WN #ODSCAPAC #ODSCVirtual @sand_logic @AMD

[Flux @WillFlux]

I'm looking for interesting #FPGA blogs. What do you read?

Three I enjoy:
• https://t.co/9GJNyyWpUW
• https://t.co/q347Ec41yP
• https://t.co/t1E6zQ7eW6

[Machine Learning | arXiv @arXiv__ml]

#arXiv #machinelearning [cs.LG] Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations. (arXiv:2008.04567v1 [cs.DC]) https://t.co/jL7MoxKUJj

Accelerating deep model training and inference is crucial in practice. Existing deep learning fr…

[ConfEngine @ConfEngine]

#ODSC_India @ODSC_India just accepted On-Demand Accelerating Deep Neural Network Inference via Edge Computing https://t.co/DzWfT4jb2D by @darshancg3 Deepesh Agrawal

[Open Data Science Conference India @ODSC_India]

#ODSC_India @ODSC_India just accepted On-Demand Accelerating Deep Neural Network Inference via Edge Computing https://t.co/apPuyfWkhh by @darshancg3 Deepesh Agrawal

[Intel Devs @inteldevs]

Watch this video featuring the CEOs from @reniacinc and @meghcomputing explaining the cross-architecture development benefits they’ve experienced with #oneAPI. https://t.co/jeqmzug3oS #AI

[Vivek Singhal @vsinghalus]

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars #WhereLearningNeverStops

Deep Neural Networks are becoming more and more complex day by day, hence there is a necessity of Algorithms and Efficient Hardware Architectures for Efficient Deep Neural Network…https://t.co/Vki9sXURep

[Darshan C G @darshancg3]

@notypes @oter @SandMouth @cucapra Can I get the link to attend the session?
Thanks

[Darshan C G @darshancg3]

@ico_TC @niun Courtesy: Time to market of Accelerated AI Stack by NVIDIA

[Vivek Singhal @vsinghalus]

#CellStratAILab #disrupt4.0

Last Friday, our AI Lab Researcher Darshan G presented a wonderful overview of GPU Architectures and General-Purpose GPU Computing.

Performance Improvements are often based on parallelism techniques such as Pipelining, Level…https://t.co/vEkZA5w3ez

[Nat Friedman @natfriedman]

Today we're making GitHub free for teams of unlimited size, for private and public work. 🎉

Every developer on earth should have access to GitHub, and price shouldn't be a barrier.

https://t.co/EOn37hItY6

[Darshan C G @darshancg3]

On-Demand Accelerating Deep Neural Network Inference via Edge Computing #ODSC_India @ODSC_India https://t.co/ZBbAQptAQT

[Vivek Singhal @vsinghalus]

#CellStratAILab #disrupt4.0

Minutes from Sunday 22nd March 2020 AI Workshop at BLR :-

Last Saturday our AI Lab Researcher Niraj Kale presented an amazing workshop on Object Detection with EfficientNet and EfficientDet.

EfficientNet is about developing…https://t.co/dr5nLLc4I8

[Adam Taylor @ATaylorFPGA]

I love High Level Synthesis! It really comes in useful for creating complex image / signal processing IP quickly. This week I am showing how to create a custom image processing block in Vivado HLS.

#fpga #electronics #imageprocess…https://t.co/sCkKfYDmwO https://t.co/O5wY86LuY8