Recently, while browsing Twitter, I saw a few machine learning researchers post about an incident at one of their big conferences (NIPS) in which a band performing at the closing party made jokes…

I have been working on three new AI projects, and am thrilled to announce the first one: deeplearning.ai, a project dedicated to disseminating AI knowledge, is launching a new sequence of Deep…

We've created a bot which beats the world's top professionals at 1v1 matches of Dota 2 [ under standard tournament rules. The bot learned the game from scratch by self-play, and does not use imitation learning or tree search. ...

A guide to making visualizations that accurately reflect the data, tell a story, and look professional.

Learn Deep Learning from deeplearning.ai. If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, ...

What AI can and cannot do for you today. My Harvard Business Review piece on how AI affects your org.

I will be resigning from Baidu, where I have been leading the company’s AI Group. Baidu’s AI is incredibly strong, and the team is stacked up and down with talent; I am confident AI at Baidu will…

We’ve developed an unsupervised system which learns an excellent representation of sentiment, despite being trained only to predict the next character in the text of Amazon reviews.

Get a free draft copy of my book on how to structure Machine Learning projects: I’d started this before but got distracted building Deep Learning Specialization; I’m now rebooting this. Sign up to get free chapters as they’re released!

Drive.ai will offer a self-driving car service for public use in Frisco, Texas starting in July, 2018. Self-driving cars are no longer a futuristic AI technology. They’re here, and will soon make…

I sometimes see people refer to neural networks as just “another tool in your machine learning toolbox”. They have some pros and cons, they work here or there, and sometimes you can use them to win…

We've discovered that evolution strategies (ES), an optimization technique that's been known for decades, rivals the performance of standard reinforcement learning (RL) techniques on modern RL benchmarks, while overcoming many of RL's inconveniences.

While there has been a lot of talk about super-smart artificial intelligence lately, one of the leaders in the field thinks there are more pressing problems for humanity to solve. Andrew Ng, the cofounder of Coursera and former chief scientist at Chi...

Guess what? Study shows that self-driving cars are better at detecting pedestrians with lighter skin tones. Translation: Pedestrian deaths by self-driving cars are already here - but they're not evenly distributed.

I am excited to announce Landing.ai, a new Artificial Intelligence company that will help other enterprises transform for the age of AI. We will initially focus on the manufacturing industry. AI is…

Thrilled to launch a big project today: ANATOMY OF AN AI SYSTEM. It's a large map & long-form essay about Amazon's Echo, and the full stack of capital, labor, and natural resources used in AI. It's a collab with TheCreaturesLab, who is a visual ...

New blog post: For the past couple years, I've been telling people who ask me for advice not to go into data science. Here's why: The data science job market is way oversaturated. Here's what they should do instead.

Today we’re launching Seedbank, a place to discover interactive ML examples which you can run from your browser, no set-up required. Each example can be edited, extended, and adapted into your own project. Read mtyka's post for more info ↓

We've shown that deep linear networks — as implemented using floating-point arithmetic — are not actually linear and can perform nonlinear computation. We used evolution strategies to find parameters in linear networks that exploit this trait, letti...

Introducing the AI Transformation Playbook! How can your company become good at AI? This 5-step Playbook provides the key steps for transforming your company using AI, from executing pilot projects to building a team, and more. Download your free co...

Learn AI For Everyone from deeplearning.ai. AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you ...

Using deep learning to generate guinea pig names from images. Startlingly good.

Can your AI model detect abnormalities in bone X-rays as well as a radiologist? My Stanford lab just released a new dataset, MURA. Join our deep learning competition to see how your model compares: pranavrajpurkar jeremy_irvin16 mattlungrenM...

A beautiful, visual statistics textbook: "Seeing Theory – A visual introduction to probability and statistics.” I shared this a year ago, when it was already very cool. But the page now got a major upgrade by the authors and is now just incredibly...

Perceptions of Probability and Numbers. Contribute to zonination/perceptions development by creating an account on GitHub.

Technical details on our Deep Learning+ECG (detecting irregular heartbeats/arrhythmia) work:

On behalf of the whole Google Research & GoogleAI community, I was excited to put together a post describing some of the work that we collectively did in 2018. I hope you enjoy it! Thanks to everyone who helped make this work possible!

Our new paper in Nature Medicine! Cardiologist-level arrhythmia detection from ECG, using deep learning. I'm very optimistic about such technology helping patients. awnihannun, pranavrajpurkar, leftbundle, GeoffTison iRhythmTech

Improving the quality of end-of-life care for hospitalized patients is a priority for healthcare organizations. Studies have shown that physicians tend to over-estimate prognoses, which in combination with treatment inertia results in a mismatch betw...

Imperial College imperialcollege is launching an online Masters degree in Machine Learning with coursera. This is exciting! Given the huge global demand for machine learning engineers, the world needs a lot more degree programs in AI and ML.

We develop an algorithm that can detect pneumonia from chest X-rays at a level exceeding practicing radiologists. Our algorithm, CheXNet, is a 121-layer convolutional neural network trained on ChestX-ray14, currently the largest publicly available ch...

We propose a new technique for visual attribute transfer across images that may have very different appearance but have perceptually similar semantic structure. By visual attribute transfer, we mean transfer of visual information (such as color, tone...

A real robot hand, trained with same learning algorithm and code as OpenAI Five, has learned human-like motions to rotate objects:

2.5 quintillion bytes of data are created every day. It’s created by you when you’re commute to work or school, when you’re shopping, when you get a medical treatment, and even when you’re sleeping…

In 1965, I. J. Good described for the first time the notion of “intelligence explosion”, as it relates to artificial intelligence (AI): Decades later, the concept of an “intelligence explosion” —…

We are open-sourcing Nevergrad, a Python3 library that makes it easier to perform gradient-free optimizations used in many machine learning tasks.

Next week I'll be offering a course at Stanford called "Readings in applied data science" — the complete syllabus is now available at Thanks to everyone on twitter who has helped me find good readings!

Nearly 300 Statistical Concepts Explained in Simple English — in 10 Parts: abdsc BigData DataScience DataLiteracy StatisticalLiteracy Statistics MachineLearning

As is usually the case with fast-advancing technologies, AI has inspired massive FOMO , FUD and feuds. Some of it is deserved, some of it not — but the industry is paying attention. From stealth…

An open source deep learning platform that provides a seamless path from research prototyping to production deployment.

Ed tech company experiments on 9000 kids without anyone's consent or knowledge to see if they test differently when 'social-psychological' messaging is secretly inserted? HARD NO.

Let the AI benchmarking wars begin. Today, a diverse group from academia and industry – Google, Baidu, Intel, AMD, Harvard, and Stanford among them –

Nature just published a major feature on researchers working on bias in machine learning. Features many of us, including geomblog mikarv s010n achould b_mittelstadt rayidghani dgrobinson bowlinearl - and the AINowInstitute work on due proces...

We've open sourced the Differentiable Neural Computer! Built with Sonnet and TensorFlow. Available here:

Excited to launch Kaggle Learn - interactive tutorials on machine learning, deep learning, R, and data visualization

As the bioinformatics field grows, it must keep pace not only with new data but with new algorithms. Here we contribute a thorough analysis of 13 state-of-the-art, commonly used machine learning algorithms on a set of 165 publicly available classific...

Machine learning models are vulnerable to adversarial examples: small changes to images can cause computer vision models to make mistakes such as identifying a school bus as an ostrich. However, it is still an open question whether humans are prone t...

If your company wants to ramp up in AI, how should you choose your first few projects? I just wrote a Harvard Business Review HarvardBiz article with practical suggestions. This fleshes out the first step from the AI Transformation Playbook.

The UN has made a deal with Palantir to give them highly sensitive data about aid recipients in the World Food Program - part of their “very aggressive digital transformation journey.” World reacts in horror. 😱

Today's the day!!! Watch OpenAI Five Finals here, starting 11:30a PT: This event will be the first time an AI has attempted to play the world champions in an esports game — and that won't be all we show today.

The combo of sexism and AI hype on is awful. "She's quirky, but will never ghost you" ... it's a computer program.

Modern deep neural network training is typically based on mini-batch stochastic gradient optimization. While the use of large mini-batches increases the available computational parallelism, small batch training has been shown to provide improved gene...

When I introduce myself as a data scientist, I often get questions like “What’s the difference between that and machine learning?” or “Does that mean you work on artificial intelligence?” I’ve responded enough times that my answer easily qualifies fo...

We’re enjoying this precious time with our first child. As probably every parent understands, we’ve also been reflecting on the world Nova will grow up in. Specifically, the long term impact of AI…

Shifting from one occupation to another can take a swing in the career path. Given your current job, what paths could you take? Here are some constructed possibilities.

Announcing CheXpert! Large dataset of chest X-rays co-released with MIT's MIMIC-CXR dataset. Join our competition to test your chest X-ray interpretation model: jeremy_irvin16 pranavrajpurkar mlko53 curtlanglotz mattlungrenMD Stanford

The Python Graph Gallery: Useful for discovering and learning how to code dataviz in Python.

Andrew Ng, the Chief Scientist at Baidu Research, has done some of the most interesting new things of the last decade. He recommends reading the following.

Wonderfully interactive, gentle, & well done introduction to probability and statistics. Walk through this with your favorite kid & give them a head-start in life on ML.

We think we learn better according to our so-called learning style: visual, auditory, and kinesthetic. But the overwhelming evidence is that we don't. We all learn through listening, reading, and doing.

Hidden Technical Debt in Machine Learning Systems on some of the new joys and struggles of deploying machine learning models in the wild. Still a long way to go to establish new language and design patterns for programming the 2.0 stack

Large Collection of DataScience and MachingLearning Cheat Sheets for DataScientists, including Python, R, NeuralNetworks, Numpy, Pandas, and more: abdsc BigData DeepLearning AI Coding Rstats DataWrangling Statistics Probability

Check out the new and first blog post by lexfridman from MIT on Deep Learning Basics with TensorFlow, as part of the MIT Deep Learning series of courses, lectures, and tutorials. Read the post here ↓

A list of common mistakes made by newcomers to neural networks. DeepLearning MachineLearning DataScience

Neural networks are a type of computer program that imitate the way that brains learn to solve problems. They’re used for face recognition, self-driving cars, language translation, financial decisions, and more. I mainly use them to write humor. My...

For most deep learning practitioners, sequence modeling is synonymous with recurrent networks. Yet recent results indicate that convolutional architectures can outperform recurrent networks on tasks such as audio synthesis and machine translation. Gi...

Great demo: Fooling neural networks in the physical world with 3D adversarial objects. MachineLearning This is a serious security problem for DeepLearning.

Get a Masters Degree through Coursera! I'm excited about all the great universities now offering online degrees. It's not just about lower costs, even more important is the convenience+flexibility+global access.

Let’s work through a practical example to see how asking and answering questions helps guide you towards more focused data graphics.

Apple's CoreML tools are now on GitHub & open to contributions! Run models from Keras/sklearn/XGBoost/LibSVM on iOS