Every two weeks, we find the most interesting data science links from around the web and collect them in Data Science Briefings, the DataMiningApps newsletter. Subscribe now for free if you want to be the first to get up to speed on interesting resources.
- Its been 100 years and the robots still havent taken over
From Karel Čapek to Isaac Asimov, a Brief History of Machine Anxiety.
- Redefine statistical significance
“We propose to change the default P-value threshold for statistical significance from 0.05 to 0.005 for claims of new discoveries.”
- Artificial Intelligence Uses Less Than Two Minutes of Videogame Footage to Recreate Game Engine
Game studios and enthusiasts may soon have a new tool at their disposal to speed up game development and experiment with different styles of play.
- Advances in AI are used to spot signs of sexuality
Machines that read faces are coming – scary stuff.
- Introducing Idyll
Idyll is a tool that makes it easier to author interactive narratives for the web. The goal of the project is to provide a friendly markup language — and an associated toolchain — that can be used to create dynamic, text-driven web pages.
- Big Data Patterns
BigDataPatterns.org is a community site dedicated to documenting a master patterns catalog comprised of analysis- and technology-centric patterns that capture and relate Big Data science and analysis techniques and Big Data solution environments, mechanisms and architectural design practices.
- Introducing Pytorch for fast.ai
The folks over at fast.ai announce that their next series of courses will be based nearly entirely on Pytorch.
- Autonomous Robots Plant, Tend, and Harvest Entire Crop of Barley
During the Hands Free Hectare project, no human set foot on the field between planting and harvest—everything was done by robots.
- Detecting Malicious Requests with Keras & Tensorflow
Security is a concern for any public facing web application. However, sometimes not all attack vectors are handled and new exploits are bound to be discovered. So what if you could use the power of Google’s Tensorflow engine to decide on whether a given request is considered malicious?
- Communicating Uncertainty When Lives Are on the Line
“Showing when and where natural disasters like hurricanes are going to cause damage is not just a question of aesthetics – it is literally a matter of life and death. The traditional way hurricane forecasts are shown has a number of problems, but are the alternatives actually better?”
- Musician Taryn Southern on composing her new album entirely with AI
How artificial intelligence simplifies music production for solo artists
- Heart Disease Diagnosis with Deep Learning
State-of-the-art results with 60x fewer parameters.
- Text to Video Generation
Can artificial intelligence generate new video content from text descriptions?
- Predicting Portland Home Prices
“For my final project at Metis, I wanted to choose something that enabled me to incorporate all that I had learned during the past three months. Predicting Portland home prices allowed me to do this because I was able to incorporate various web scraping techniques, natural language processing on text, deep learning models on images, and gradient boosting into tackling the problem.”
- Discovering Causal Signals in Images (paper)
“This paper establishes the existence of observable footprints that reveal the “causal dispositions” of the object categories appearing in collections of images.”
- IBM pitched its Watson supercomputer as a revolution in cancer care. It’s nowhere close
Three years after IBM began selling Watson to recommend the best cancer treatments to doctors around the world, a STAT investigation has found that the supercomputer isn’t living up to the lofty expectations IBM created for it.
- Meet Michelangelo: Uber’s Machine Learning Platform
Uber presents its “internal ML-as-a-service platform that democratizes machine learning and makes scaling AI to meet the needs of business as easy as requesting a ride.”