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Broken Silicon 49: Nvidia A100, Training Game AI, Neural Networks | AI Developer Interview

Hot off the heels of the announcement of Nvidia A100, we have an AI Developer on to talk about what these massive GPU’s are actually used for – AI & ML applications.

1) 1:08 AI Buzzwords & Introductions (some sound issues in the first 5 min)

2) 5:50 What is a Neural Network?

3) 12:40 Challenges in Training Neural Networks

4) 16:08 Sparsity and Pruning 

5) 23:50 How will AI Improve our Lives?

6) 35:29 Bottlenecks to AI Research

7) 40:15 AI & ML in Gaming

8) 45:55 CUDA Intrenchment, AMD’s ability to enter the market

9) 49:10 Cerebras & Graphcore

10) 54:05 AMD vs Nvidia Graphics

11) 1:01:25 Comparing Synthetic AI to Biological Brains

https://www.thispersondoesnotexist.com/

https://devblogs.nvidia.com/nvidia-ampere-architecture-in-depth/

https://www.cerebras.net/cerebras-wafer-scale-engine-why-we-need-big-chips-for-deep-learning/

https://cirrascale.com/graphcore-cloud.php?utm_term=graphcore&utm_source=adwords&utm_medium=ppc&utm_campaign=Graphcore&hsa_net=adwords&hsa_grp=86815837387&hsa_mt=p&hsa_tgt=kwd-606839681642&hsa_kw=graphcore&hsa_src=g&hsa_acc=2793442874&hsa_cam=8112712212&hsa_ver=3&hsa_ad=397149594120&gclid=CjwKCAjwwYP2BRBGEiwAkoBpAuc9L_R5wt9rbYuJ7jeopg5W5YdYxaFBkNVpQz336TjcNJYg9jyZ2BoCX0MQAvD_BwE

https://arxiv.org/pdf/1803.03635.pdf

https://arxiv.org/pdf/1807.01281.pdf

https://podcasts.google.com/feed/aHR0cHM6Ly9jaGFuZ2Vsb2cuY29tL3ByYWN0aWNhbGFpL2ZlZWQ/episode/Y2hhbmdlbG9nLmNvbS83LzcwNA?hl=en&ved=2ahUKEwiuzYfG_7jpAhUIHs0KHSavAhAQjrkEegQIBxAE&ep=6

https://twimlai.com/upside-down-reinforcement-learning/?fbclid=IwAR18e99xWPGUN0_SVG84IKUaT5KYSKVhzwMdq37goiOdDwRuUf8s9Z_8GSI

https://en.wikipedia.org/wiki/Reinforcement_learning

https://en.wikipedia.org/wiki/Concept_learning

https://en.wikipedia.org/wiki/Unsupervised_learning#cite_note-2

https://arxiv.org/abs/1912.02875

https://arxiv.org/pdf/1912.02877.pdf

https://www.alexirpan.com/2018/02/14/rl-hard.html

https://www.microsoft.com/en-us/research/blog/turing-nlg-a-17-billion-parameter-language-model-by-microsoft/

https://ai.facebook.com/blog/state-of-the-art-open-source-chatbot/

https://openai.com/blog/jukebox/

https://www.pnas.org/content/pnas/116/43/21854.full.pdf

Broken Silicon 49: Nvidia A100, Training Game AI, Neural Networks | AI Developer Interview

Comments

that isn't Toms idea? It was AMD's. (well, it almost certainly was an idea before AMD implemented it)

TSPCFS

Also sounds like this guy/industry would absolutely love your idea (tom) to super glue a high power ssd to a gpu to use as a memory pool.

Dominik Koc

AI realizes how fucking shitty humanity is and decides to off us. Honestly... totally justified

Dominik Koc

This is pretty funny

Moore's Law Is Dead

In this spirit of thispersondoesnotexist, gwern made this funny website: https://www.thiswaifudoesnotexist.net/

Edward Huff

I wonder if there is some kind of service like thispersondoesntexist.com but for generating custom human faces. Like if I wanted a stock photo of an asian woman with ginger hair, 80's style glasses, and earrings it could just generate varieties of a human with those specifications.

ishould

German englisch...I love it :) Nice informing episode!

Awesome episode! I think it would be a cool idea to train an a.i. To help train other a.i. Programs!

Great Broken Silicon. Personally from the gaming side though I'd be more interested in AI or ML for companion characters or NPC's in RPG titles than FPS's. I think it's the last real boundary to truly immersive experiences in those sorts of titles.

Aaron

Ayyy let’s go new Broken Silicon

Kameron Alexander


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