"Julia, the MIT-created programming language for developers "who want it all", hit its milestone 1.0 release
Released in 2012, Julia is designed to combine the speed of C with the usability of Python, the dynamism of Ruby, the mathematical prowess of MatLab, and the statistical chops of R.
"The release of Julia 1.0 signals that Julia is now ready to change the technical world by combining the high-level productivity and ease of use of Python and R with the lightning-fast speed of C++," says MIT professor Alan Edelman."
The courses are aimed at developers who have some experience in programming object-oriented, statically typed languages like Java or C# and who've used IDEs such as JetBrains' IntelliJ IDEA, Android Studio, Eclipse, or Microsoft's Visual Studio. Students will need to install the Java Development Kit (JDK) and IntelliJ.
Google promotes Kotlin as a "concise" and "modern object-oriented language [that] offers a strong type system, type inference, null safety, properties, lambdas, extensions, coroutines, higher-order functions".
Thousands of users have collectively made 72611198 images
Artbreeder Generative Adversarial Networks are the main technology enabling Artbreeder. Artbreeder uses these BigGAN models and there is an open source version available.
Inspirational interviews with Sebastian Thrun,
Stanford professor of AI,
who lead the team that won first DARPA self driving vehicles challenge,
Google director of research who started self-driving project there.
Online teacher of first MOOC (online class) attended with 120 000 people (me included :)
Co-founder of Udacity online university
where he is teaching self-driving car class (that I also attended).
Now, Sebastian is taking self-driving technology to the air,
and with support of Larry Page (Google co-founder and Alphabet CEO)
they already have working platform, see video below.
"most of energy in flight is spent on (air) drag, not on lift (staying in air)." "it is 3 times more efficient than Tesla, and Tesla is very efficient" "it is 10 times faster than car in regular traffic"
new serverless: running JavaScript and WASM code "at the edge" vs "classic" Lambda cloud functions in cloud data centers
WARP+ extends WARP by sending all of your Internet traffic over the same optimized Internet routes which make thousands of websites 30% faster on average. WARP+ combines millions of Internet route measurements with Cloudflare’s private Internet backbone to deliver a better Internet directly to your phone.
"The goal of the Make-A-Lisp project is to make it easy to write your own Lisp interpreter without sacrificing those many "Aha!" moments that come from ascending the McCarthy mountain. When you reach the peak of this particular mountain, you will have an interpreter for the mal Lisp language that is powerful enough to be self-hosting, meaning it will be able to run a mal interpreter written in mal itself."
...entry-level banker or trader it used to be the case that you had to know all about financial modelling in Excel. Not any more. These days it's all about Python, especially on the trading floor.
"Python already replaced Excel," said Matthew Hampson, deputy chief digital officer at Nomura, speaking at last Friday's Quant Conference in London. "You can already walk across the trading floor and see people writing Python code...it will become much more common in the next three to four years."
Microsoft announced the public preview of .NET Core support to Jupyter Notebooks. This release is part of the Try .NET project, an interactive documentation generator for .NET Core.
Pulumi, a tool that lets you use your favorite programming languages to provide Configuration-as-Code. Joe Duffy talks about the new addition to Pulumi - .NET Core languages including C#, F#, VB.NET...
In 2000, Donald Knuth, a famous U.S. computer professor, published an article entitled “Dancing Links” in which he described the use of the Algorithm X to solve Sudoku grids. This article focuses first on the problem of exact coverage and the Algorithm X to solve it quickly and efficiently.
"An Elastic Fabric Adapter (EFA) is a network device that you can attach to your Amazon EC2 instance to accelerate High Performance Computing (HPC) and machine learning applications. EFA enables you to achieve the application performance of an on-premises HPC cluster, with the scalability, flexibility, and elasticity provided by the AWS Cloud." Announcing New Amazon EC2 M6g, C6g, and R6g Instances Powered by Next-Generation Arm-based AWS Graviton2 Processors
"The new (ARM based) general purpose (M6g), compute optimized (C6g), and memory optimized (R6g) Amazon EC2 instances deliver up to 40% improved price/performance over current generation M5, C5, and R5 instances (that are x86 based)" Amazon EC2 Inf1 Instances "High performance and the lowest cost machine learning inference in the cloud"