The latest blog posts to take off on Hacker News. 212 posts.
Bayesian statistics rely heavily on Monte-Carlo methods. A common question that arises is “isn’t there an easier, analytical solution?” This post explores a bit more why this is by breaking down the analysis of a Bayesian A/B test and showing how tricky the analytical path is and exploring more of t
Convolution is probably the most important concept in deep learning right now. It was convolution and convolutional nets that catapulted deep learning to the forefront of almost any machine learning task there is. But what makes convolution so powerful? How does it work? In this blog post I will explain convolution…
Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.
By partnering with Google, DeepMind is able to bring the benefits of AI to billions of people all over the world. From reuniting a speech-impaired user with his original voice, to helping users discover personalised apps, we can apply breakthrough research to immediate real-world problems at a Google scale. Today…
Last year, Yang Song, a graduate student at Stanford, showed an entirely new way of generating data based on denoising score matching with Annealed Langevin sampling (DSM-ALS). The paper showed tha…
With this year’s International Conference on Machine Learning (ICML) being over, it is time to have another instalment of this series. Similar to last year’s post , I shall cover several papers that caught my attention because of their use of topological concepts—however, unlike last year, I shall not restrict the…
Maker Harry was inspired by Handle, Boston Dynamics' research robot, yo build his own mini version named MABEL.
Short stories about the singularity written in collaboration with GPT-3.
Robotics is one of those things the business funny papers regularly wonder about; it seems like consumer robotics is a revolutionary trillion dollar market which is perpetually 20-years away -more…
Named tensors for better deep learning code.
Deponysum membahas konsep filsafat, kecerdasan buatan, ekonomi, dan kritik sastra secara edukatif untuk memperluas wawasan dan cara berpikir kritis.
Artistic interpretations of the 54 Roman emperors of the Principate, created with AI and historical references.
Classes previously only available to Amazon employees will now be available to the community.
AI has enormous potential to disrupt markets that have traditionally been out of reach for software. These markets – which have relied on humans to navigate natural language, images, and physical space – represent a huge opportunity, potentially worth trillions of dollars globally. However, as we discussed in our…
A power tool for experimenting with GPT-3
If you read a description of a static analysis in a paper, what might you find? There’ll be some cute model of a language. Maybe some inference rules describing the analysis itself, but those rules probably rely on a variety of helper functions. These days, the analysis likely involves some logical reasoning: about…
After seeing so many people debate whether computers can be intelligent I thought it only fair to ask an AI. As with previous posts, I picked the best responses, but everything after the bolded pro…
Baidu publishes PP-YOLO and pushes the state of the art in object detection research by building on top of YOLOv3, the PaddlePaddle deep learning framework, and cutting edge computer vision research.
7000+ languages are spoken around the world but NLP research has mostly focused on English. This post outlines why you should work on languages other than English.
(Update 2023-03: I wrote this in 2020 when GPT-3 was highly hyped, but ultimately made only <1% of the splash that the monstrous ChatGPT made 3 years later. If I had to rewrite this today, I’d 1) think more kindly about defensibility, especially through deep product, user experience, and marketing/distribution (see…
In Giving GPT-3 a Turing Test, Kevin Lacker found that GPT-3 does well answering simple factual questions like “Who was president of the United States in 1955?”, but also happily answered absurd qu…
Posted by Philip Sun, Software Engineer, Google Research Suppose one wants to search through a large dataset of literary works using queries that r...
Discussions: Hacker News (397 points, 97 comments), Reddit r/MachineLearning (247 points, 27 comments) Translations: German, Korean, Chinese (Simplified), Russian, Turkish The tech world is abuzz with GPT3 hype. Massive language models (like GPT3) are starting to surprise us with their abilities. While not yet…
Nisos Resources Library is full of interesting case studies, client success stories, infographics, videos and more. Click to see what we do.
Daily, snackable writings to spur changes in thinking. Building a blueprint for a better brain by tinkering with the code.
TransCoder is the first self-supervised neural transcompiler system for migrating code between programming languages. It can translate code from Python to C++, for example, and it outperforms rule-based translation programs.
