The best of #CES2024 right at your finger tips? Check out the Best of #CES @YouTube playlist to get the scoop on the latest and greatest moments from @CES history from @iJustine and @briantong
: https://
youtube.com/@CES?si=9vVT3R
G_pjMZvCb-
… #AI #IoT #5G @gvalan @Hal_Good @tewoz @ElCavalos
COMPUTING
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Best of CES 2024 Highlights on YouTube Playlist
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Digital Innovation Drives Operational Excellence in Industry
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Explore how industries achieve operational excellence through digital innovation and tech integration at the 28th Annual ARC Industry Forum. Register: https://t.co/d7y0Za3AWV #arc_iiot #ARCForum #DigitalInnovation #OperationalExcellence #digitaltransformation @andi_staub pic.twitter.com/r8X1nL9f5n
— Lucian Fogoros (@fogoros) 27 janvier 2024Explore how industries achieve operational excellence through digital innovation and tech integration at the 28th Annual ARC Industry Forum. Register: https://
ow.ly/2x3f50QqvE0 #arc_iiot #ARCForum #DigitalInnovation #OperationalExcellence #digitaltransformation @andi_staub -
Impressive AI Simulation and Rendering Technology Stack
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Impressive simulation and rendering stack
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Delta Sharing: Secure Cross-Platform Data Sharing Patterns
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#DeltaSharing empowers organizations to securely share and access data across platforms! Learn about the two common architectural patterns, Intra-Enterprise Cross-Regional Data Sharing and Data Aggregator (Hub and Spoke) Model
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Shadow IoT Devices Pose Unauthorized Network Security Risks
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Shadow IoT could attract cyber risks by connecting devices to the corporate network without authorization—a threat to data and security. Read more on @DeltalogiX
> https://
bit.ly/3QjnzS7 Subscribe to Newsletters> https://
bit.ly/3pick1U via @antgrasso #DeltalogixAdvisor #IoT -
Lenovo ThinkBook Plus Gen 5 Hybrid: Two Systems in One Device
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#CES2024 Hands On: @Lenovo
's ThinkBook Plus Gen 5 Hybrid Is Two Systems in One via @PCMag https://
pcmag.com/news/ces-2024-
hands-on-lenovos-thinkbook-plus-gen-5-hybrid-is-two-systems-in
… #PCMag #AI #CES #CES2024 #IoT #5G @CES @CTATech @ipfconline1 @gvalan @Hal_Good @JBarbosaPR @kalydeoo -
Running Data Through Neural Network Multiple Times
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thanks! but there’s no data loader here, and I’m not doing training; just running the same data through the network many times
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ResNet Memory Bound vs Compute Bound Performance Analysis
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i think it's something weird about resnet being memory bound instead of compute bound
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PyTorch Model Inference Optimization with torch.no_grad()
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this isn't the case bc i'm using the same image every time; my code looks like this for _ in range(n_iters): with http://
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GPU Inference Batch Size Scaling: Why Limited Speedup?
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when doing inference on lots of samples, how much speed up can you expect from increasing the batch size? context: i'm doing inference for lots of images using resnet100 on an a6000 gpu. increased batch size 32 -> 2048 (64x!) and only getting a 20% speedup. how is this possible?