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New
The latest blog posts to take off on Hacker News. 6,335 posts.
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Deep learning on electronic medical records is doomed to fail
A few years ago, I worked on a project to investigate the potential of machine learning to transform healthcare through modeling electronic medical records. I walked away deeply disillusioned with the whole field and I really don’t think that the field needs machine learning right now. What it does need is plenty of…
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Building games through natural language using OpenAI’s code-DaVinci model
TL;DR: OpenAI has a new code generating model that’s improved in a number of ways and can handle nearly two times as much text (4,000 tokens.) I built several small games and applications without t…
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New Capabilities for GPT-3: Edit and Insert
We’ve released new versions of GPT-3 and Codex which can edit or insert content into existing text, rather than just completing existing text.
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Introduction to K-Means Clustering
Under unsupervised learning, all the objects in the same group (cluster) should be more similar to each other than to those in other clusters; data points from different clusters should be as different as possible. Clustering allows you to find and organize data into groups that have been formed organically, rather…
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Accurate Image Alignment and Registration Using OpenCV
The image alignment and registration pipeline takes two input images that contain the same scene from slightly different viewing angles. The picture above displays both input images side by side with the common scene (object) being the painting Las Meninas (1656) by Velázquez, currently at the Museo del Prado in…
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Why tensors? A beginner's perspective
Faizan Muhmmad is a Software Engineer at Google
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A 2030 Self-Driving Car Bet
It’s my honor to announce that John Carmack and I have initiated a friendly bet of $10,000* to the 501(c)(3) charity of the winner’s choice: By January 1st, 2030, completely autonomous self-driving cars meeting SAE J3016 level 5 will be commercially available for passenger
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MLOps is a mess but that's to be expected
I discuss the messy state of MLOps today and how we are still in the early phases of a broader transformation to bring machine learning value to enterprises globally.
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The Kalman filter: helping chickens cross the road
The Kalman Filter. Helping Chickens Cross the Road. David Austin Grand Valley State University I was running some errands recently when I spied the Chicken Robot ambling down the sidewalk, then vee…
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Machine Learning with PyTorch and Scikit-Learn
Machine Learning with PyTorch and Scikit-Learn has been a long time in the making, and I am excited to finally get to talk about the release of my new book…
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Using AI to bring children’s drawings to life (2021)
Does your child love to draw? Ever wished that characters in their drawings could “come to life” and move around the page? Using AI, we’ve developed automatic animation that can bring children’s one-of-a-kind characters to life!
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PyTorch on Apple M1 MAX GPUs with SHARK – faster than TensorFlow-Metal
A AMD oferece soluções de computação adaptativa e de alto desempenho de liderança para promover IA de data center, PCs com IA, dispositivos de borda inteligentes, jogos e muito mais.
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Machine learning is still too hard for software engineers
Machine Learning has made huge strides in the last few decades, but it remains largely inaccessible to the average developer. This post examines some of the reasons why.
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Why I Am Not An Integrated Information Theorist (or, The Unconscious Expander)
Happy birthday to me! Recently, lots of people have been asking me what I think about IIT—no, not the Indian Institutes of Technology, but Integrated Information Theory, a widely-discussed &#…
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Push-ups with Python, mediapipe and OpenCV
In the Singapore Army, there is something called IPPT (Individual Physical Proficiency Test). The problem with this test is not how…
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Machine Learning Algorithms Cheat Sheet
Machine learning is a subfield of artificial intelligence (AI) and computer science that focuses on using data and algorithms to mimic the way people learn, progressively improving its accuracy. This way, Machine Learning is one of the most interesting methods in Computer Science these days, and it'
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A gentle introduction to automated reasoning
Meet Amazon Science’s newest research area.
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Faster Python calculations with Numba
Python-based calculations, especially those that use NumPy, can run much faster by using the Numba library.
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Controlling the nuclear fusion plasma in a tokamak with reinforcement learning
Successfully controlling the nuclear fusion plasma in a tokamak with deep reinforcement learning
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My approach to automatic musical composition
In this blog, I will introduce my approach to automatic musical composition, including the theory, the algorithm, and a Python package implementation ch0p1n .
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Frank Rosenblatt's perceptron paved the way for AI 60 years too soon (2019)
As the Faculty of Computing and Information Science celebrates its 20th year, Frank Rosenblatt’s prescient research into artificial intelligence underscores Cornell’s pivotal role in computing history.
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AlphaCode as a dog speaking mediocre English
Tonight, I took the time actually to read DeepMind’s AlphaCode paper, and to work through the example contest problems provided, and understand how I would’ve solved those problems, and how A…
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Solving some formal math olympiad problems
We built a neural theorem prover for Lean that learned to solve a variety of challenging high-school olympiad problems, including problems from the AMC12 and AIME competitions, as well as two problems adapted from the IMO.
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Competitive Programming with AlphaCode
Solving novel problems and setting a new milestone in competitive programming.
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Announcing GPT-NeoX-20B
Announcing GPT-NeoX-20B, a 20 billion parameter model trained in collaboration with CoreWeave.