BROADCASTS.com

Hot off the heels of the announcement of Nvidia A100, we have an AI Developer on to talk about what these massive GPU\u2019s are actually used for \u2013 AI & ML applications.\n\nSPONSOR: https://www.cdkoffers.com\n 25% Windows Code discount: brokensilicon\n 3% off all software: dieshrink\nWin10 pro oem key 13$: https://bit.ly/2Wdfghh\nWin10 Home oem key 10$: https://bit.ly/3dsbSFi\nOffice 2016 key 27$: https://bit.ly/2Wb3sMx\nOffice 2019 key 44$: https://bit.ly/2WdfBAz\nWin10 pro oem+Office 2016 35$: https://bit.ly/3bkJeVb\n\n1)\t1:21 AI Buzzwords & Introductions (some sound issues)\n2)\t6:03 What is a Neural Network?\n3)\t12:53 Challenges in Training Neural Networks\n4)\t16:21 Sparsity and Pruning \n5)\t24:03 How will AI Improve our Lives?\n6)\t35:42 Bottlenecks to AI Research\n7)\t42:03 AI & ML in Gaming\n8)\t47:38 CUDA Intrenchment, AMD\u2019s ability to enter the market\n9)\t50:58 Cerebras & Graphcore\n10)\t55:53 AMD vs Nvidia Graphics\n11)\t1:03:13 Comparing Synthetic AI to Biological Brains\n\nhttps://www.thispersondoesnotexist.com/\nhttps://devblogs.nvidia.com/nvidia-ampere-architecture-in-depth/\nhttps://www.cerebras.net/cerebras-wafer-scale-engine-why-we-need-big-chips-for-deep-learning/\nhttps://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\nhttps://arxiv.org/pdf/1803.03635.pdf\nhttps://arxiv.org/pdf/1807.01281.pdf\nhttps://podcasts.google.com/feed/aHR0cHM6Ly9jaGFuZ2Vsb2cuY29tL3ByYWN0aWNhbGFpL2ZlZWQ/episode/Y2hhbmdlbG9nLmNvbS83LzcwNA?hl=en&ved=2ahUKEwiuzYfG_7jpAhUIHs0KHSavAhAQjrkEegQIBxAE&ep=6\nhttps://twimlai.com/upside-down-reinforcement-learning/?fbclid=IwAR18e99xWPGUN0_SVG84IKUaT5KYSKVhzwMdq37goiOdDwRuUf8s9Z_8GSI\nhttps://en.wikipedia.org/wiki/Reinforcement_learning\nhttps://en.wikipedia.org/wiki/Concept_learning\nhttps://en.wikipedia.org/wiki/Unsupervised_learning#cite_note-2\nhttps://arxiv.org/abs/1912.02875\nhttps://arxiv.org/pdf/1912.02877.pdf\nhttps://www.alexirpan.com/2018/02/14/rl-hard.html\nhttps://www.microsoft.com/en-us/research/blog/turing-nlg-a-17-billion-parameter-language-model-by-microsoft/\nhttps://ai.facebook.com/blog/state-of-the-art-open-source-chatbot/\nhttps://openai.com/blog/jukebox/\nhttps://www.pnas.org/content/pnas/116/43/21854.full.pdf