We all get in ruts where we use the same tools every day for our office work. When that happens, what we need is someone to come along with a new list of tools and what makes them great.
Here is such a list. I didn’t create it, but I have used 3 of the 11 tools here and I can say they are key to making me more productive every day. I plan to use the rest of them too, based on the description of them.
Sure, you can do fine with Microsoft Office tools. This list will help you do better: 11 Most Used Tools & Apps Essential to my Work – DESK Magazine
(Image via pexels.com)
If you are looking to build AI tech, or just learn about it, then you will find these interesting:
- Artificial intelligence pioneer says we need to start over – Axios – if Hinton says it, it is worth taking note
- Robots Will Take Fast-Food Jobs, But Not Because of Minimum Wage Hikes | Inverse – true. Economists need to stop making such a strong link here.
- Artificial Intelligence 101: How to Get Started | HackerEarth Blog – a good 101 piece
- Deep Learning Machine Teaches Itself Chess in 72 Hours, Plays at International Master Level – MIT Technology Review – the ability of tech to learn is accelerating.
- Now AI Machines Are Learning to Understand Stories – MIT Technology Review – and not just accelerating, but getting deeper.
- Robots are coming for your job. That might not be bad news – good alternative insight from Laurie Penny.
- Pocket: Physicists Unleash AI to Devise Unthinkable Experiments – not surprisingly, a smart use of AI
- AI’s dueling definitions – O’Reilly Media – this highlights one of the problems with AI, and that it is it is a suitcase word (or term) and people fill it with what they want to fill it with
- A Neural Network Playground – a very nice tool to start working with AI
- Foxconn replaces ‘60,000 factory workers with robots’ – BBC News – there is no doubt in places like Foxconn, robots are taking jobs.
- 7 Steps to Mastering Machine Learning With Python – don’t be put off by this site’s design: there is good stuff here
- How Amazon Triggered a Robot Arms Race – Bloomberg – Amazon made a smart move with that acquisition and it is paying off
- When Police Use Robots to Kill People – Bloomberg this is a real moral quandary and I am certain the police aren’t the only people to be deciding on it. See also: A conversation on the ethics of Dallas police’s bomb robot – The Verge
- How to build and run your first deep learning network – O’Reilly Media – more good stuff on ML/DL/AI
- This expert thinks robots aren’t going to destroy many jobs. And that’s a problem. | The new new economy – another alternative take on robots and jobs
- Neural Evolution – Building a natural selection process with AI – more tutorials
- Uber Parking Lot Patrolled By Security Robot | Popular Science – not too long after this, one of these robots drowned in a pool in a mall. Technology: it’s not easy 🙂
- A Robot That Harms: When Machines Make Life Or Death Decisions : All Tech Considered : NPR – this is kinda dumb, but worth a quick read.
- Mathematics of Machine Learning | Mathematics | MIT OpenCourseWare – if you have the math skills, this looks promising
- Small Prolog | Managing organized complexity – I will always remain an AI/Prolog fan, so I am including this link.
- TensorKart: self-driving MarioKart with TensorFlow – a very cool application
- AI Software Learns to Make AI Software – MIT Technology Review – there is less here than it appears, but still worth reviewing
- How to Beat the Robots – The New York Times – meh. I think people need to learn to work with the technology, not try to defeat it. If you disagree, read this.
- People want to know: Why are there no good bots? – bot makers, take note.
- Noahpinion: Robuts takin’ jerbs
- globalinequality: Robotics or fascination with anthropomorphism – everyone is writing about robots and jobs, it seems.
- Valohai – more ML tools
- Seth’s Blog: 23 things artificially intelligent computers can do better/faster/cheaper than you can – like I said, everyone is writing about AI. Even Seth Godin.
- The Six Main Stories, As Identified by a Computer – The Atlantic – again, not a big deal, but interesting.
- A poet does TensorFlow – O’Reilly Media – artists will always experiment with new mediums
- How to train your own Object Detector with TensorFlow’s Object Detector API – more good tooling.
- Rise of the machines – the best – by far! – non-technical piece I have read about AI and robots.
- We Trained A Computer To Search For Hidden Spy Planes. This Is What It Found. – I was super impressed what Buzzfeed did here.
- The Best Machine Learning Resources – Machine Learning for Humans – Medium – tons of good resources here.
The following webpage has detailed instructions for installing and configuring SonarQube on a RHEL/CentOS 7 Linux server (real or virtual) and it was one of the best guides I’ve seen (and I’ve reviewed half a dozen):
The webpage outlines how to update your Linux server, how to install MySQL (as a data repository) on it, and how to then install SonarQube software on the server.
Some things to note. First, this procedures has you using wget to get v6.0 of SonarQube:
Check out the page https://www.sonarqube.org/downloads/ and see the latest version of SonarQube (e.g. 6.4) and replace “sonarqube-6.0.zip” with the latest version (e.g. “sonarqub-6.4.zip”.)
One important thing to note: this procedure creates a userid and database called sonarqube.
Later in the process, the changes made to /opt/sonarqube/conf/sonar.properties needs to match this:
If the userid, password and database you created in MySQL do not match what it is the sonar.properties file, you will see cannot connect to the database errors in the /opt/sonarqube/logs/web.log file and SonarQube will not come up.
Once you enter: sudo ./sonar.sh start
Get the IP address of the SonarQube server and then go to a browser and enter:
…Then you want to go here and download and install the appropriate software for your Windows system: Security Essentials Download.
According to this, Microsoft has upgraded it’s security software to prevent similar attacks. That’s good. What’s not good is that you can be certain there will be a wave of copycat attacks coming. Get the software and install it today.
This piece, Most engineers are white — and so are the faces they use to train software – Recode, implies that AI software doesn’t do a good job recognizing non-white faces because most engineers (i.e. software developers) are white. I’d argue that the AI does a poor job because of this: the developers aren’t very good.
Good software developers, in particular the lead developers, take an active role in ensuring they have good test data. The success of their software when it goes live is dependent on it. Anyone using training data (i.e. using test data) in AI projects that is not using a broad set of faces is doing a poor job. Period. Regardless of whether or not they are white.
If the AI is supposed to do something (i.e. recognize all faces) and it does not, then the AI sucks. Don’t blame it on anything but technical abilities.
Like previous collections of IT links, this collection reflects things I am interested in or found useful recently:
- If you want to get started using APIs, I recommend this: Most Popular APIs Used at Hackathons | ProgrammableWeb
- If you want to build that web site, consider Using Twitter Bootstrap with Node.js, Express and Jade – Andrea Grandi, and this Building a Website from Scratch with ExpressJS and Bootstrap | Codementor. Also Mastering MEAN: Introducing the MEAN stack and Bluemix Mobile, Part 1: Creating a Store Catalog application – Bluemix Blog
- Or develop a mobile app like this: Create Swift mobile apps with IBM Watson services – developerWorks Courses
- I am a fan of Bluemix and Eclipse. This article ties them nicely together: IBM Bluemix – Eclipse Package Download – Neon release.
- I am also a fan of IoT these days. For fellow IoT fans, these links are good: Intro to Hardware Hacking on the Arduino — Julia H Grace and $10 DIY Wifi Smart Button | SimpleIOThings.
- Speaking of IoT, if you have been doing some work with Arduinos, you might be interested in the ESP8266. Some good info on it here ESP8266 Thing Hookup Guide – learn.sparkfun.com and a good thing to do with it, here: SimpleIOThings | Simple Do-It-Yourself Internet-of-Things Projects
- More good links related to software and application development work here Migrate an app from Heroku to Bluemix and here A Concise Introduction To Prolog, plus Building without an Ounce of Code – Part 2 – Apps Without Code Blog and this Turning a form element into JSON and submiting it via jQuery – Developer Drive
- Some interesting links pertaining to Minecraft: Can Minecraft teach kids how to code? – Safari Blog and Minecraft and Bluemix, Part 1: Running Minecraft servers within Docker.
- There’s lots of talk about AI these days, the Economist explains why artificial intelligence is enjoying a renaissance
- If you are interesting in working in IT, you might like this: How to Get a Job In Deep Learning or this: An Unconventional Guide for Getting a Software Engineering Job — Julia H Grace
- Or maybe you want start a start-up. If so, check this out: A Free Course from Y Combinator Taught at Stanford | Open Culture
- Finally, here are just a number of interesting but mostly unrelated links:
- IBM Blockchain 101: Quick-start guide for developers
- Building three-tier architectures with security groups | AWS Blog
- Performance Tuning Apache and MySQL for Drupal
- How to secure an Ubuntu 16.04 LTS server
- Clean Your System and Free Disk Space | BleachBit
- Use an iPad as a Raspberry Pi display — Kano OS – YouTube
- (Software iSCSI) Configuring SAN boot on Red Hat Enterprise Linux 5 or 6 series
I’ve recently added two repos to my github account:
The first one is some proof of concept code I wrote to demonstrate how to work with IBM Watson’s Tradeoff Analytics service using node.js
The second one is some sample code I have had for some time that does simple server monitoring of a Linux server.
There is no intellectual property involved in these repos: it is simple code based on documented code samples found in many places on the web.
For more details, see my Github landing page, here: blm849 (Bernie Michalik)