Technologies Published 29 August 2023 Authors Sven Gowal, Pushmeet Kohli New tool helps watermark and identify synthetic images created by Imagen AI-generated images are becoming more popular every day. But how can we better identify them, especially when they look so realistic? Today, in partnership with Google Cloud, we’re launching a beta version of SynthID, …
The first (and most important) step of any fine-tuning process is data collection. Here, I extracted title-thumbnail pairs from my channel in a 2-step process. First, I used YouTube’s search API to extract the video IDs for all the videos on my channel. Second, I used YouTube’s video API to extract the title and thumbnail …
Fine-tuning Multimodal Embedding Models | by Shaw Talebi Read More »
Research Published 19 September 2023 Authors Žiga Avsec and Jun Cheng New AI tool classifies the effects of 71 million ‘missense’ mutations Uncovering the root causes of disease is one of the greatest challenges in human genetics. With millions of possible mutations and limited experimental data, it’s largely still a mystery which ones could give …
A catalogue of genetic mutations to help pinpoint the cause of diseases Read More »
10 books with valuable insights about AI science and engineering Great books for AI Engineering — Plus ‘Brave New Words’ (Image is Author’s own work) A few years ago I recommended 21 books in Great Books for Data Science and Great Books for Data Science 2. Since then a lot has changed. While data scientist …
Robots are great specialists, but poor generalists. Typically, you have to train a model for each task, robot, and environment. Changing a single variable often requires starting from scratch. But what if we could combine the knowledge across robotics and create a way to train a general-purpose robot?
Data Preparation & Exploratory Analysis Now that we’ve outlined our approach, let’s take a look at our data and what kind of features we’re working with. From the above, we see our data contains ~197,000 deliveries, with a variety of numeric & non-numeric features. None of the features are missing a large percentage of values …
Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems Generative AI systems are already being used to write books, create graphic designs, assist medical practitioners, and are becoming increasingly capable. Ensuring these systems are developed and deployed responsibly requires carefully evaluating the potential ethical and social risks they may …
Evaluating social and ethical risks from generative AI Read More »
Insights from a synthetic control group 16 min read · 12 hours ago Photo by Maria Ziegler on Unsplash Real estate is a bedrock of modern economies, serving as both a tangible asset and an essential component of wealth accumulation for individuals and investment portfolios. Real estate price fluctuations have far-reaching implications, influencing everything from …
Research Published 31 October 2023 Authors Google DeepMind AlphaFold team and Isomorphic Labs team Progress update: Our latest AlphaFold model shows significantly improved accuracy and expands coverage beyond proteins to other biological molecules, including ligands Since its release in 2020, AlphaFold has revolutionized how proteins and their interactions are understood. Google DeepMind and Isomorphic Labs …
Investigating Geoffrey Hinton’s Nobel Prize-winning work and building it from scratch using PyTorch One recipient of the 2024 Nobel Prize in Physics was Geoffrey Hinton for his contributions in the field of AI and machine learning. A lot of people know he worked on neural networks and is termed the “Godfather of AI”, but few …
