Distributional Graphormer: Toward equilibrium distribution prediction for molecular systems

Structure prediction is a fundamental problem in molecular science because the structure of a molecule determines its properties and functions. In recent years, deep learning methods have made remarkable progress and impact on predicting molecular structures, especially for protein molecules. Deep learning methods, such as AlphaFold and RoseTTAFold, have achieved unprecedented accuracy in predicting the most probable structures for proteins from their amino acid sequences and have been hailed as a game changer in molecular science. However, this method provides […]

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Collaborators: Holoportation™ communication technology with Spencer Fowers and Kwame Darko

On this episode, I’m talking to Dr. Spencer Fowers, a Principal Member of the Technical Staff at Microsoft Research, and Dr. Kwame Darko, a plastic surgeon at the National Reconstructive Plastic Surgery and Burns Centre at the Korle Bu Teaching Hospital in Accra, Ghana. Spencer and Kwame are working on 3D telemedicine, a project they hope will increase access to specialized healthcare in rural and underserved communities by using live 3D communication, or Holoportation. We’ll learn much more about that […]

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Python 3.12 Preview: Support For the Linux perf Profiler

The final release of Python 3.12 is scheduled for October 2023, which is growing closer. In the meantime, you can download and install its preview version to get a sneak peek at the upcoming features. One of the biggest changes announced is support for the Linux perf profiler, which is a powerful performance profiling tool. To fully benefit from using the perf profiler in Python 3.12, you should have a fairly good understanding of how the underlying hardware and the […]

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Filtering Iterables With Python

Python’s filter() is a built-in function that allows you to process an iterable and extract those items that satisfy a given condition. This process is commonly known as a filtering operation. With filter(), you can apply a filtering function to an iterable and produce a new iterable with the items that satisfy the condition at hand. In Python, filter() is one of the tools that you can use for functional programming. In this video course, you’ll learn how to: Use […]

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How to Round Numbers in Python

With many businesses turning to Python’s powerful data science ecosystem to analyze their data, understanding how to avoid introducing bias into datasets is absolutely vital. If you’ve studied some statistics, then you’re probably familiar with terms like reporting bias, selection bias, and sampling bias. There’s another type of bias that plays an important role when you’re dealing with numeric data: rounding bias. Understanding how rounding works in Python can help you avoid biasing your dataset. This is an important skill. […]

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Speeding up arXiv browsing

Staying up to date with the newest NLP work is a tough job, and reading about new research takes a significant amount of my time. For several years, one of my work routines has been skimming over the arXiv digest. I open a few preprints, glance over them, and write some notes into Zotero. Once a month, I write a blog post about what I think was the most interesting, which should force me to understand the papers, at least […]

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Breaking cross-modal boundaries in multimodal AI: Introducing CoDi, composable diffusion for any-to-any generation

Imagine an AI model that can seamlessly generate high-quality content across text, images, video, and audio, all at once. Such a model would more accurately capture the multimodal nature of the world and human comprehension, seamlessly consolidate information from a wide range of sources, and enable strong immersion in human-AI interactions. This could transform the way humans interact with computers on various tasks, including assistive technology, custom learning tools, ambient computing, and content generation. In a recent paper: Any-to-Any Generation […]

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