(5/5) AlphaVertex – Creating a Worldwide Financial Knowledge Graph

This week I’m on location at NYU/ffVC AI NexusLab startup accelerator, speaking with founders from the 5 companies in the program’s inaugural batch. This interview is with AlphaVertex, a FinTech startup creating a worldwide financial knowledge graph to help investors predict stock prices. The notes for this series can be found at twimlai.com/nexuslab. Thanks to […]

[ML News] AI learns to search the Internet | Drawings come to life | New ML journal launches

#webgpt #aiart #mlnews The latest and greatest from the Machine Learning world. OUTLINE: 0:00 – Intro 0:20 – Sponsor: Weights & Biases 2:40 – WebGPT: When GPT-3 can search the Internet 15:45 – MetaAI brings children’s drawings to life 17:15 – OpenAI lets anyone fine-tune GPT-3 18:15 – New Journal: Transactions on Machine Learning Research […]

[ML News] AI Threatens Biological Arms Race

#mlnews #gtc22 #ithaca GTC Registration Link: https://ykilcher.com/gtc Your regular updates on what’s going on in the ML world! OUTLINE: 0:00 – Intro 0:20 – Register to Nvidia GTC and win a 3090! 4:15 – DeepMind’s Ithaca deciphers Lost Ancient Texts 6:45 – Drug discovery model turns toxic 10:00 – Gary Marcus: Deep Learning is hitting […]

[ML News] ConvNeXt: Convolutions return | China regulates algorithms | Saliency cropping examined

#mlnews #convnext #mt3 Your update on what’s new in the Machine Learning world! OUTLINE: 0:00 – Intro 0:15 – ConvNeXt: Return of the Convolutions 2:50 – Investigating Saliency Cropping Algorithms 9:40 – YourTTS: SOTA zero-shot Text-to-Speech 10:40 – MT3: Multi-Track Music Transcription 11:35 – China regulates addictive algorithms 13:00 – A collection of Deep Learning […]

[ML News] DeepMind AlphaCode | OpenAI math prover | Meta battles harmful content with AI

#mlnews #alphacode #openai The latest and greatest from the world of Machine Learning! Merch: http://store.ykilcher.com Sponsor: Weights & Biases https://wandb.me/yannic OUTLINE: 0:00 – Intro 0:15 – Sponsor: Weights & Biases 3:15 – DeepMind’s AlphaCode: AI competitive programmer 11:30 – OpenAI uses language models to prove math theorems 14:30 – StyleGAN XL: Scaling StyleGAN to diverse […]

[ML News] DeepMind builds Gopher | Google builds GLaM | Suicide capsule uses AI to check access

#mlnews #gopher #glam Your updates on everything going on in the Machine Learning world. Sponsor: Weights & Biases https://wandb.me/yannic OUTLINE: 0:00 – Intro & Overview 0:20 – Sponsor: Weights & Biases 3:05 – DeepMind releases 3 papers on large language models 11:45 – Hugging Face Blog: Training CodeParrot from scratch 14:25 – Paper: Pre-Training vision […]

[ML News] DeepMind tackles Math | Microsoft does more with less | Timnit Gebru launches DAIR

#mlnews #deepmind #ai The most trusted model in News! Get started with Weights & Biases here: https://wandb.me/yannic (it’s free forever for personal use) OUTLINE: 0:00 – Intro 0:15 – Sponsor: Weights & Biases 3:10 – DeepMind tackles fundamental math 6:45 – Microsoft focuses on scaling effectively and efficiently 10:15 – NeurIPS Anthology Visualization 13:30 – […]

[ML News] Google’s 540B PaLM Language Model & OpenAI’s DALL-E 2 Text-to-Image Revolution

#mlnews #palm #dalle2 Google releases PaLM and OpenAI releases DALL-E 2 (and more news). Sponsor: Weights & BIases Start here: https://wandb.me/yannic Thumbnail credit: DALL-E 2 via Sam Altman OUTLINE 0:00 – Street interview w/ random stranger 2:45 – Intro 3:10 – PaLM – Google’s 540B Pathways Language Model 8:10 – Sponsor: Weights & Biases 9:30 […]

[ML News] Google’s 540B PaLM Language Model & OpenAI’s DALL-E 2 Text-to-Image Revolution

#mlnews #palm #dalle2 Google releases PaLM and OpenAI releases DALL-E 2 (and more news). Sponsor: Weights & BIases Start here: https://wandb.me/yannic Thumbnail credit: DALL-E 2 via Sam Altman OUTLINE 0:00 – Street interview w/ random stranger 2:25 – Intro 2:50 – PaLM – Google’s 540B Pathways Language Model 7:50 – Sponsor: Weights & Biases 9:10 […]

[ML News] OpenAI removes GPT-3 waitlist | GauGAN2 is amazing | NYC regulates AI hiring tools

#mlnews #gaugan #gpt-3 Your weekly dose of ML News! More GauGAN images here: https://drive.google.com/drive/folders/1tG1rpxP_mnspB1MWi9VZGScw5R-hxUdm?usp=sharing OUTLINE: 0:00 – Intro 0:20 – Sponsor: Weights & Biases 2:20 – OpenAI’s removes GPT-3 Waitlist 4:55 – NVIDIA releases GauGAN2 Webapp 9:45 – Everyday Robots tackles real-life tasks 12:15 – MetNet-2: 12-hour Rain Forecasting 14:45 – TinyML Dog Bark Stopper […]

[ML News] Uber: Deep Learning for ETA | MuZero Video Compression | Block-NeRF | EfficientNet-X

#mlnews #muzero #nerf Your regularly irregular updates on everything new in the ML world! Merch: http://store.ykilcher.com OUTLINE: 0:00 – Intro 0:15 – Sponsor: Weights & Biases 2:15 – Uber switches from XGBoost to Deep Learning for ETA prediction 5:45 – MuZero advances video compression 10:10 – Learned Soft Prompts can steer large language models 12:45 […]

[News] Google’s medical AI was super accurate in a lab. Real life was a different story.

A closer look at a story of how the deployment of AI brings its own challenges and what can go wrong. https://www.technologyreview.com/2020/04/27/1000658/google-medical-ai-accurate-lab-real-life-clinic-covid-diabetes-retina-disease/ Links: YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher BitChute: https://www.bitchute.com/channel/yannic-kilcher Minds: https://www.minds.com/ykilcher YouTube Source for this AI Video

#031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)

In this special edition, Dr. Tim Scarfe, Yannic Kilcher and Dr. Keith Duggar speak with Professor Gary Marcus, Dr. Walid Saba and Connor Leahy about GPT-3. We have all had a significant amount of time to experiment with GPT-3 and show you demos of it in use and the considerations. Do you think GPT-3 is […]

#032- Simon Kornblith / GoogleAI – SimCLR and Paper Haul!

This week Dr. Tim Scarfe, Sayak Paul and Yannic Kilcher speak with Dr. Simon Kornblith from Google Brain (Ph.D from MIT). Simon is trying to understand how neural nets do what they do. Simon was the second author on the seminal Google AI SimCLR paper. We also cover “Do Wide and Deep Networks learn the […]

#035 Christmas Community Edition!

Welcome to the Christmas special community edition of MLST! We discuss some recent and interesting papers from Pedro Domingos (are NNs kernel machines?), Deepmind (can NNs out-reason symbolic machines?), Anna Rodgers – When BERT Plays The Lottery, All Tickets Are Winning, Prof. Mark Bishop (even causal methods won’t deliver understanding), We also cover our favourite […]

#040 – Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

Pod version; https://anchor.fm/machinelearningstreettalk/episodes/040—Adversarial-Examples-Dr–Nicholas-Carlini–Dr–Wieland-Brendel–Florian-Tramr-epo5qr Adversarial examples have attracted significant attention in machine learning, but the reasons for their existence and pervasiveness remain unclear. there’s good reason to believe neural networks look at very different features than we would have expected. As articulated in the 2019 “features not bugs” paper Adversarial examples can be directly attributed to […]

#49 – Meta-Gradients in RL – Dr. Tomas Zahavy (DeepMind)

The race is on, we are on a collective mission to understand and create artificial general intelligence. Dr. Tom Zahavy, a Research Scientist at DeepMind thinks that reinforcement learning is the most general learning framework that we have today, and in his opinion it could lead to artificial general intelligence. He thinks there are no […]

#50 Christian Szegedy – Formal Reasoning, Program Synthesis

Dr. Christian Szegedy from Google Research is a deep learning heavyweight. He invented adversarial examples, one of the first object detection algorithms, the inceptionnet architecture, and co-invented batchnorm. He thinks that if you bet on computers and software in 1990 you would have been as right as if you bet on AI now. But he […]