• How can we be sure AI will behave? Perhaps by watching it argue with itself.
  Experts suggest that having AI systems try to outwit one another could help a person judge their intentions...

• Why ML interfaces will be more like pets than machines
  When I look ahead is how the new capabilities build on each other as they’re combined together. I believe that they will totally change the way we interact with technology, moving from the push-button model we’ve had since the industrial revolution to something that’s more like a collaboration with our tools. It’s not a perfect analogy, but the most useful parallel I can think of is how our relationship with pets differs from our interactions with machines...

• An AI speed test shows clever coders can still beat Google and Intel
  A recent AI competition organized by Stanford University shows the conventional wisdom isn’t always true. Fittingly enough for the field of artificial intelligence, it turns out brains can still beat brawn...

 
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Data science is emerging as one of the fastest-evolving, interdisciplinary areas in business and IT. Demand for employees with data analysis skills is growing exponentially, with an expected 38,000 new jobs by 2021 (Deloitte Access Economics, 2018). There is a wealth of opportunity for those who are passionate about data and numbers to build or progress their career.
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• MLPerf – Will New Machine Learning Benchmark Help Propel AI Forward?
  Let the AI benchmarking wars begin. Today, a diverse group from academia and industry – Google, Baidu, Intel, AMD, Harvard, and Stanford among them – released MLPerf, a nascent benchmarking tool “for measuring the speed of machine learning software and hardware.”...

• Population coding of conditional probability distributions in dorsal premotor cortex
  The brain estimates the probabilities of what you might do before you can even ponder what you will do...

• Artificial intelligence could help diagnose a deadly heart condition
  AliveCor and Mayo Clinic have partnered to test whether artificial intelligence can identify inherited Long QT Syndrome in EKG results...

• Google’s ML Kit makes it easy to add AI smarts to iOS and Android apps
  At its I/O developer conference, Google today introduced ML Kit, a new software development kit (SDK) for app developers on iOS and Android that allows them to integrate into their apps a number of pre-built Google-provided machine learning models. One nifty twist here is that these models — which support text recognition, face detection, barcode scanning, image labeling and landmark recognition — are available both online and offline, depending on network availability and the developer’s preference...

• Self-driving cars are here
  Drive.ai will offer a self-driving car service for public use in Frisco, Texas starting in July, 2018...

• How Much Should You Pay For That 1960’s Fender Stratocaster?
  So… I decided to build a guitar pricing model for myself using guitar sales available on Reverb.com and machine learning! Hopefully, when I have enough money, I can use this model to help guide my purchase of my dream 1960’s Fender Stratocaster...

• Convolutional Neural Networks: The Biologically-Inspired Model
  It is incredible how human brains can unfold an image consisting of just arrays of R,G,B values. How about computers? How can we begin to write an algorithm that can reason about a scene? How can we get the right data that can support the inferences we make?...

• Investing in the Data Platform
  Data warehouses are not just for business intelligence (BI) anymore. You can maximize the value of your data engineering, data science, and analytics work by investing in building out a multi-use data-platform that serves business users, Analysts, Statisticians, and intelligent applications...

• Move PyTorch Tensor Data To A Contiguous Chunk Of Memory
  Learn how to use the PyTorch contiguous operation to move a PyTorch Tensor's data to a contiguous chunk of memory, via a screencast video and full tutorial transcript...

• Facebook’s Field Guide to Machine Learning video series
  The Facebook Field Guide to Machine Learning is a six-part video series developed by the Facebook ads machine learning team. The series shares best real-world practices and provides practical tips about how to apply machine-learning capabilities to real-world problems...

• So your data science project isn’t working
  Despite having beat myself up in these situations, these projects aren’t failing because of me as a data scientist. After experiencing this time and time again, I’ve come to the conclusion that there are three real reasons why data science projects fail...

• The Theory That Would Not Die:
  How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy An enjoyable account of the history of Bayesian statistics from Thomas Bayes's first idea to the ultimate (near-)triumph of Bayesian methods in modern statistics...
  
  For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page...