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11-785 Spring 2023 Recitation 0G: Debugging and Visualisation (Part 2/3)

Hi everyone, this is the part 2 of Recipes 0G, debugging of deep neural networks. In this video, we’ll go through 3 types of basic coding errors, syntax errors, logic errors, and runtime errors. After following tips in this section, you should be able to get your code running smoothly. Firstly, the most common beginner […]
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10:03

Scaling inference on CPUs with TorchServe

Hi everyone, I’m Manjin and I’m an AI Frameworks Engineer at Intel. In this session, I will talk about scaling inference on CPUs with TorchServe. There are five main topics for today’s agenda. First, I will give an overview on TorchServe. Second, on CPU performance tuning principles for getting a strong out-of-box CPU performance. Third, […]
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23:05

Women in Machine Learning Symposium 2022 Keynote

Hello everyone, we are live from the second Women in Machine Learning Symposium. My name is Rwana Karashkada, I’m the developer relations lead for Machine Learning Communities at Google and I will be a host for today’s event. Thank you all for joining us today. The Women in Machine Learning Symposium is an inclusive event […]
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45:57

Reinforcement Learning for Personalization at Spotify with Tony Jebara – 609

All right, everyone. Welcome to another episode of the Twilmo AI podcast. I am your host, Sam Charrington. And today I’m joined by Tony Jabara. Tony is a vice president of engineering and head of machine learning at Spotify. Before we get going, be sure to take a moment to hit that subscribe button wherever […]
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12:19

Exploratory Data Analysis (EDA) with Plotly for Timeseries Demand Forecasting

Let’s have a quick look at exploratory data analysis for demand forecasting using Plotly. Let’s real quick take a look at the time series demand forecasting data set that we’re going to use. This data set is hosted on Kaggle and I created it. It’s essentially a simulation that looks at forecasting the demand of […]
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#95 – Prof. IRINA RISH – AGI, Complex Systems, Transhumanism #NeurIPS

Arena Rish is a world-renowned professor of computer science and operations research at the University of Montreal and the core member of the prestigious Miele organization. She’s a Canada SIFR AI Chair and the Canadian Excellence Research Chair in Autonomous AI. Arena holds an MSC and a PhD in Artificial Intelligence from UC Irvine in […]
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#93 Prof. MURRAY SHANAHAN – Consciousness, Embodiment, Language Models

Murray Shanahan is a professor of cognitive robotics at Imperial College London and a senior research scientist at DeepMind. He graduated from Imperial College with a first in computer science in 1984 and obtained his PhD from King’s College in Cambridge in 1988. He’s since worked in the fields of artificial intelligence, robotics and cognitive […]
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05:17

FSDP Production Readiness

Hi, everyone, and welcome to the PyTorch conference. My name is Rohan, and today we’ll be discussing the fully-sharded data parallel package in PyTorch, and in particular some of the work we’ve been doing to ensure it’s ready for production quality training of large models. First, we’ll go over some motivation regarding why we need […]
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06:49

Two Minute Papers: NVIDIA’s New AI: Video Game Graphics, Now 60x Smaller!

Dear Fellow Scholars, this is 2 Minute Tapers with Dr. Karo Zsolnai-Fehir, when creating a video game, an animated movie, or to create any believable virtual world, among many other things we need geometry. Tons and tons of geometry, both to store and to render images of our characters and the environment. And having lots […]
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11:54

MaDL – Kullback-Leibler Divergence

We’ve seen how we can measure uncertainty of a distribution or the expected amount of information in a distribution. Let’s now look at how we can measure distances between distributions. In particular, we’re going to look at the so-called Kulbach-Lyplei divergence. Suppose we have two probability distributions, P of X and Q of X over […]
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08:17

AI Just Solved a 53-Year-Old Problem! | AlphaTensor, Explained

I’m gonna show you what I think is the most exciting breakthrough we’ve made this year. I understand that generating images, and text, and code is exciting, but this… All of our tensor… This can change everything. And although all of our tensor is about matrix multiplication, and that’s what everyone is talking about, I […]
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05:58

Two Minute Papers: Ubisoft’s New AI: Breathing Life Into Games!

Dear Fellow Scholars, this is “Two Minute Papers” with Dr. Károly Zsolnai-Fehér. Earlier, we talked about AI-based techniques that can learn to clone your voice, and then we can perform text-to-speech. So, it would learn this… I think they have to change that. Further details are expected later. And then, the AI would generate this. […]
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26:25

1-785 Deep Learning Recitation 11: Transformers Part 2

All right, welcome to the Transformers Recitation Part 2. This will be in continuation from part 1 where we coded it from scratch. One thing I’d like to note before we begin is I reviewed the rest of the presentation that I’ve recorded before. And I think I spoke very slowly in terms of my […]
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10:57

MaDL – Vector Calculus

Let’s now move from differential calculus to vector calculus. That is the differentiation and also integration of vector fields. But in this unit we’ll only cover differentiation. And of course that’s very relevant for lectures like computer vision and the learning because we’re dealing a lot with matrices there. So we need to know how […]
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Encoding a Feature Vector for PyTorch Deep Learning (4.1)

Welcome to applications of deep neural networks and PyTorch with Washington University. In this part, we’re going to take a look at how to encode tabular data for PyTorch. Tabular data is data that easily fits in something like Microsoft Excel. It’s not the slickest application of deep neural networks that are often doing computer […]
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#82 – Dr. JOSCHA BACH – Digital Physics, DL and Consciousness [UNPLUGGED]

Welcome back to Street Talk, just a little bit of housekeeping before we kick off today. Paulina Salivadove is one of the organizers for a charity AI conference called AI Helps Ukraine. Now, their main goal is to raise funds for Ukraine, both from the folks attending the conference and also from companies sponsoring the […]