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A wave of machine-learning weather models have been unleashed by some of the very biggest businesses on the planet. These challenge the orthodoxy of traditional physics-based computer forecasts that have been incrementally developed and improved over many decades. But are the machine learning models any good? The weather is a national obsession for us Brits, and it is no wonder given the huge changes that are seen and felt from one day to the next.
During a recent exchange on "Real Time with Bill Maher," risk analyst Ian Bremmer argued that artificial intelligence has basically eviscerated the "learn to code" cottage industry. When discussing the way AI has swept the world and taken many white collar jobs with it, Bremmer referenced how rapidly the technology has overtaken the traditional career trajectory for programmers — so much so that people who used to have cushy software developer jobs are now selling their plasma to make ends meet
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Foundations of Computer Vision Preface Dedicated to all the pixels. About this Book This book covers foundational topics within computer vision, with an image processing and machine learning perspective. We want to build the reader’s intuition and so we include many visualizations. The audience is undergraduate and graduate students who are entering the field, but we hope experienced practitioners will find the book valuable as well. Our initial goal was to write a large book that provided a g
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets. Get started by running python ddpm.py -h to explore the available options for training. Forward process A visualization of the forward diffusion process being applied to a dataset of one thousand 2D points. Note that the dinosaur is not a single training example, it represents each 2D point in the dataset. Reverse process This illustration shows how the reverse process recovers the distribution of the trainin
Foundations of Computer Vision Preface Dedicated to all the pixels. About this Book This book covers foundational topics within computer vision, with an image processing and machine learning perspective. We want to build the reader’s intuition and so we include many visualizations. The audience is undergraduate and graduate students who are entering the field, but we hope experienced practitioners will find the book valuable as well. Our initial goal was to write a large book that provided a g
Does RL scale? Over the past few years, we've seen that next-token prediction scales, denoising diffusion scales, contrastive learning scales, and so on, all the way to the point where we can train models with billions of parameters with a scalable objective that can eat up as much data as we can throw at it. Then, what about reinforcement learning (RL)? Does RL also scale like all the other objectives? Apparently, it does. In 2016, RL achieved superhuman-level performance in games like Go and C
Cybersecurity is a rapidly growing and evolving field with a wide range of subfields and specializations. One of these is penetration testing, a discipline within what's known as "red teaming," which seeks to actively find and exploit vulnerabilities within computer systems (with permission, of course). It's an exciting and rewarding career, and I'll show you how to become a penetration tester. Before I continue, however, let me be transparent about my own experience. While I have about three
Cybersecurity is a rapidly growing and evolving field with a wide range of subfields and specializations. One of these is penetration testing, a discipline within what's known as "red teaming," which seeks to actively find and exploit vulnerabilities within computer systems (with permission, of course). It's an exciting and rewarding career, and I'll show you how to become a penetration tester. Before I continue, however, let me be transparent about my own experience. While I have about three
AI is now a part of our everyday lives. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of its search results, AI is completely taking over the internet. With AI, you can get instant answers to pretty much any question. It can feel like talking to someone who has a Ph.D. in everything. But that aspect of AI chatbots is only one part of the AI landscape. Sure, having ChatGPT help do your homework or having Midjourney create fascinating images of mechs based on c
Balancing technology and social good is tricky; doing it well requires both practical expertise and a compelling vision. For software engineer Tejas Padliya, alchemizing the two is the driving force in his work. Padliya’s expertise is in AI and digital health technologies. His vision? For AI to be both a tool and a catalyst for equitable, data-driven healthcare transformation. In conference presentations and elsewhere, Padliya conveys two powerful messages: Technology is about changing lives,
A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with impressive efficiency. The new system, called Axiom, offers an alternative to the artificial neural networks that are dominant in modern AI. Axiom, developed by a software company called Verse AI, is equipped with prior knowledge about the way objects physically interact with each other in the game world.