Next.js 9.1.7 improves upon a solid foundation, improving the enterprise-ready 9.1 release-channel. Upgrade for smaller client-side JavaScript bundles, redesigned CLI output, faster FCP/TTI, and more!
When I ask people at trendy big tech companies why algorithms quizzes are mandatory, the most common answer I get is something like "we have so much scale, we can't afford to have someone accidentally write an O(n^2) algorithm and bring the site down" 1 . One thing I find funny about this is, even though a decent fraction of the value I've provided for companies has been solving phone-screen level algor
In 1984, a panel at the AAAI conference discussed whether the field was approaching an "AI Winter" . Mitch Waldrop wrote a transcript of the discussion , and much of it reads exactly like something written 35 years into the future.<br />
To some neuroscientists, the brain exists to produce movement and everything else it does should be understood in light of this goal. On this episode, we talk about these "motor chauvinists" and the broader topic of how motor control is studied in neuroscience and artificial intelligence. First we briefly discuss the tangled anatomy of motor control in animals. Then we get into how artificial motor control is done, including optimal feedback control, reinforcement learning, and the six core prin
I see the following questions come up a lot on Stack Overflow, the Apple developer forums, and various Slack groups: My neural network works on images but the Core ML model expects an MLMultiArray object. How do I convert my UIImage to an MLMultiArray? My neural network outputs an MLMultiArray but how do I convert this back into a UIImage? My model outputs an image but the UIImage is all black. People run into these issues because most tr
For the last couple of months, Prashanth Chandrasekar has been getting settled in as the new CEO of Stack Overflow. I’m still going on some customer calls… Read more "So, how’s that retirement thing going, anyway?"
In this series of blog posts we’re taking a deep dive into the new on-device model personalization features from Core ML 3. I’ll show how to create a customizable image classifier using k-Nearest Neighbors as well as a deep neural network, right from inside an iOS app. This is the last part of a four-part series: Introduction to on-device training <a href="https://machinethink.net/b
You can download a PDF (typset in LaTeX) of this blog post here . Jupyter Notebook Code on GitHub: https://github.com/ericjang/pt-jax</
Over the weekend I was reading Combine: Asynchronous Programming with Swift from my friends at raywenderlich.com when it occured on me that Combine and Core ML might make a nice couple. Combine lets you build reactive event processing chains . Doing inference with a Core ML model can be one of the stages in such a chain, as this is nothing more than another data transforma
DISCLAIMER: NO INVESTMENT OR LEGAL ADVICE The Content is for informational purposes only, you should not construe any such information or other material as legal, tax, investment, financial, or other advice. Investing involves risk, please consult a financial professional before making an investment. Robinhood is a zero-commission brokerage that was founded in 2013. It ha
As part of our work tracking Twitter abuse towards MPs and candidates going into the December 12th general election I've been updating our
Detailed derivations and open-source code to analyze the receptive fields of convnets.
Most neuroscience research takes place in a full, live animal. But brain organoids are different. Brain organoids are three-dimensional blobs of brain grown from human stem cells and they offer novel access to the study of human brain development. On this episode we go beyond our computational comfort zone to talk about the history of stem cells, the potion of chemicals needed to get these little blobs to grow, and the extent to which they mimic features of the human brain when they do. We also
We're delighted today to introduce the new Create Next App. Create Next App sets up a modern React application powered by Next.js in one command.
The age-old debate of nature versus nurture is now being played out between artificial intelligence and neuroscience. The dominant approach in AI, machine learning , puts an emphasis on adapting processing to fit the data at hand. Animals, on the other hand, seem to have a lot of built in structure and tendencies, that mean they function well right out of the womb. So are most of our abilities the result of genetically-encoded instructions, honed over generations of evolution? Or are our i
Next.js 9.0 was released approximately two months ago. Since then, we’ve been busy with 7 smaller but quite important releases. Let’s dive into what these releases have brought to your websites and applications, with absolutely no breaking changes.
Last March, I shared that we were starting to look for a new CEO for Stack Overflow. We were looking for that rare combination of someone who… Read more "Welcome, Prashanth!"
This workshop is sold out! Provalis Research is holding a three-day training workshop for QDA Miner 5 and WordStat 8 in Siena, Italy. The training will be held from October 28 to October 30, 2019 (from 9:00 am to 5:00 pm), at University of Siena. The workshop will have a greater focus on WordStat but there will […]
In this series of blog posts we’re taking a deep dive into the new on-device model personalization features from Core ML 3. I’ll show how to create a customizable image classifier using k-Nearest Neighbors as well as a deep neural network, right from inside an iOS app. This is part 3 of a four-part series: Introduction to on-device training <a href="https://machinethink.net/blog/cor
Every year engineers on the Pinterest Growth team organize an internal conference called Growthcon. The goal of Growthcon is help share learnings, insights, and best practices from across all the teams in Growth. Every Growthcon has a mix of talks from internal speakers, breakout learning labs, and a keynote speaker. For this year’s keynote we invited […] The post Increase funnel conversion with Psych appeared first on John Egan .
North Korea, often called the hermit kingdom, is a land we know little about but one we are hearing about more and more because of its nuclear program and because of the unique relationship between its leader Kim Jung-on and U.S. President Donald Trump. While still very secretive and closed to the outside world, […]
The brain is the result of evolution. A lot of evolution. Most neuroscientists don't really think about this fact. Should we? On this episode we talk about two papers---one focused on brains and the other on AI---that argue that following evolution is the path to success. As part of this argument, they make the point that, in evolution, each stage along the way needs to be fully functional, which impacts the shape and role of the brain. As a result, the system is best thought of as a whole---not
Chris Beaumont, a Data Scientist at Netflix, recently gave a talk at the SF Growth Engineering Meetup on a novel new approach Netflix took to continuously measure and understanding the incremental impact different emails had on subscriber growth. Chris expands on the original blog post he published to go more in depth on how Netflix created […] The post Measuring Incrementality For Emails @ Netflix appeared first on John Egan .
We've been working together with the BBC to bring public attention to the issue of online abuse against politicians. Risi
In this series of blog posts we’re taking a deep dive into the new on-device model personalization features from Core ML 3. I’ll show how to create a customizable image classifier using k-Nearest Neighbors as well as a deep neural network, right from inside an iOS app. This is part 2 of a four-part series: Introduction to on-device training Rock, Paper, Scissors (Lizard? Spo
An experiment showing adversarial robustness makes neural style transfer work on a non-VGG architecture
Section 3.2 of Ilyas et al. (2019) shows that training a model on only adversarial errors leads to non-trivial generalization on the original test set. We show that these experiments are a specific case of learning from errors.
This workshop is sold out! Provalis Research is holding a three-day training workshop for QDA Miner 5 and WordStat 8 in San Diego, CA. The training will be held from December 16 to December 18, 2019 (from 9:00 am to 5:00 pm), at University of California San Diego. Click here for a detailed description of the workshop. Each […]
The recent advances in deep learning have done more than just make money for startups and tech companies. They've also infiltrated neuroscience! Deep neural networks---models originally inspired by the basics of the nervous system---are finding ever more applications in the quest to understand the brain. We talk about many of those uses in the episode. After first describing more traditional approaches to modeling behavior, we talk about how neuroscientists compare deep net models to real brains
CLARIN ERIC is a research infrastructure through Europe and beyond to encourage the sharing and sustainability of language data and tools for research in the humanities and social sciences. We are pleased to announce that our functions for text analysis in Google Sheets were featured in the July 2019 issue of the CLARIN Newsflash. We are still wor
