Brief Introduction to Diffusion Models for Image Generation

The advance of generative machine learning models makes computers capable of creative work. In the scope of drawing pictures, there are a few notable models that allow you to convert a textual description into an array of pixels. The most powerful models today are part of the family of diffusion models. In this post, you will learn how this kind of model works and how you can control its output. Let’s get started. Brief Introduction to Diffusion Models for Image […]

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Python Deep Learning: PyTorch vs Tensorflow

PyTorch vs TensorFlow: What’s the difference? Both are open source Python libraries that use graphs to perform numerical computation on data. Both are used extensively in academic research and commercial code. Both are extended by a variety of APIs, cloud computing platforms, and model repositories. If they’re so similar, then which one is best for your project? In this video course, you’ll learn: What the differences are between PyTorch and TensorFlow What tools and resources are available for each How […]

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AI Frontiers: Rethinking intelligence with Ashley Llorens and Ida Momennejad

[MUSIC FADES] Let’s dive right in. We are undergoing a paradigm shift where AI models and systems are starting to exhibit characteristics that I and, of course, many others have described as more general intelligence. When I say general in this context, I think I mean systems with abilities like reasoning and problem-solving that can be applied to many different tasks, even tasks they were not explicitly trained to perform. Despite all of this, I think it’s also important to […]

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Learning from interaction with Microsoft Copilot (web)

AI systems like Bing and Microsoft Copilot (web) are as good as they are because they continuously learn and improve from people’s interactions. Since the early 2000s, user clicks on search result pages have fueled the continuous improvements of search engines. Recently, reinforcement learning from human feedback (RLHF) brought step-function improvements to response quality of generative AI models. Bing has a rich history of success in improving its AI offerings by learning from user interactions. For example, Bing pioneered the […]

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Reading and Writing WAV Files in Python

There’s an abundance of third-party tools and libraries for manipulating and analyzing audio WAV files in Python. At the same time, the language ships with the little-known wave module in its standard library, offering a quick and straightforward way to read and write such files. Knowing Python’s wave module can help you dip your toes into digital audio processing. If topics like audio analysis, sound editing, or music synthesis get you excited, then you’re in for a treat, as you’re […]

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Finding Python Easter Eggs

In this Code Conversation, you’ll follow a chat between Philipp and Bartosz as they go on an Easter egg hunt. Along the way, you’ll: Learn about Easter egg hunt traditions Uncover the first Easter egg in software Explore Easter eggs in Python There won’t be many code examples in this Code Conversation, so you can lean back and join Philipp and Bartosz on their Easter egg hunt. What’s Included: Downloadable Resources:    

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The wrong way to speed up your code with Numba

If your NumPy-based code is too slow, you can sometimes use Numba to speed it up. Numba is a compiled language that uses the same syntax as Python, and it compiles at runtime, so it’s very easy to write. And because it re-implements a large part of the NumPy APIs, it can also easily be used with existing NumPy-based code. However, Numba’s NumPy support can be a trap: it can lead you to missing huge optimization opportunities by sticking to […]

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Unfolding Data Stories: From First Glance to In-Depth Analysis

The path to uncovering meaningful insights often starts with a single step: looking at the data before asking questions. This journey through the Ames Housing dataset is more than an exploration; it’s a narrative about the hidden stories within numbers, waiting to be told. Through a “Data First Approach,” we invite you to dive deep into the process of data-driven storytelling, where every visualization, every statistical test, and every hypothesis forms a part of a larger narrative. This blog post […]

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Abstracts: March 21, 2024

CHANG LIU: Thank you. Thank you for this opportunity to share our work.  HUIZINGA: So in a few sentences, tell us about the issue or problem your paper addresses and why people should care about this research.  LIU: Sure. Since this is an AI4Science work, let’s start from this perspective. About science, people always want to understand the properties of matters, such as why some substances can cure disease and why some materials are heavy or conductive. For a very […]

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