I’ve been working on a couple of tools for MediaWiki over the past few weeks:
- China is installing a bewildering, and potentially troublesome, amount of solar capacity
- Magnasanti: The Largest and Most Terrifying SimCity
- Collection of Jewish jokes shouldn’t shy from the sorrow behind the humor
- Getting Curious with Jonathan Van Ness - simultaneously everything you’d expect out of a podcast from the grooming guru on Queer Eye, while seriously confounding your expectations of the guy himself. The episode that touched on relativity was especially good.
- Maker’s Schedule, Manager’s Schedule
- Some Startups Use Fake Data to Train AI
- Be sure to read the alt text: Meteorologist comic from XKCD
- Ugh. Tell me this isn’t really how weird things are getting: Startups in China Are Hiring Women as ‘Programmer Motivators’
- Lessons from Two Years of AI Research
How many times have you crap like this?
- How Manufacturing Could Benefit From AI
- Facial Recognition Deep Learning Software is Surprisingly Good at Identifying Galaxies Too
- MIT researchers turn water into ‘calm’ computer interfaces
- Building AI systems that make fair decisions
- Neural Networks… On a Stick!
- Science fiction: Unchained: A story of love, loss, and blockchain
Machine learning has a lot of buzz these days, and with good reason. But getting into it isn’t a simple task. Here’s what I’ve discovered so far:
- This PSA About Fake News From Barack Obama Is Not What It Appears – there’s some swearing in this one, just so you all know!
- I love Crash Course. They’re putting together a new series on the history of science. Also check out their computer science playlist!
- Stop calling these Dark Design Patterns or Dark UX — these are simply a**hole designs
- Could a new plastic-eating bacteria help combat this pollution scourge?
I’ve recently been putting a lot of hours into levelling up my computer science and coding, mostly covering Python, Tensorflow, machine learning, and a few little projects to scratch personal itches.
- Our Students Can Make Data, AI, & Blockchain Projects Work in Real Life – and So Can You
- Berkeley offers its fastest-growing course – data science – online, for free
- Are We Already Living in Virtual Reality?
[A radical proposal to keep your personal data safe Richard Stallman](https://www.theguardian.com/commentisfree/2018/apr/03/facebook-abusing-data-law-privacy-big-tech-surveillance)
Though our field of computer science is still relatively young, it has lots of wonderful (and sometimes naughty) stories in its short history.
- How McDonald’s Is Getting Ready For The 4th Industrial Revolution Using AI, Big Data And Robotics
- Making the Touch Bar finally useful By abandoning crappy Apple guidelines
- The F.B.I. and the Mystery of the Mummy’s Head
- On how to grow an idea
- One of Estonia’s first “e-residents” explains what it means to have digital citizenship
Though you may not believe it from my stunningly youthful good looks, I grew up in the halcyon days of MS-DOS 5.0. One of my fondest memories is sitting in front of my Dad’s 80286 with a hulking CRT screen, and typing the commands to start Prince of Persia.
With all the questions about ethics and technology lately, especially Facebook data collection and Cambridge Analytica, it seems a good time to introduce the concept of Nerdsightnedness:
Remix is our open-source online education platform to teach students real-world tools and skills. We combine industry-standard tools into a cohesive whole, with single sign-on and detailed analytics to follow learners’ progress.
One of the reasons I was invited to be part of the Remix team is because I’m a geek and a maker, as I’m sure many of our users are. With that in mind, here are a bunch of links that I find useful as a geek, maker, and technologist/futurist in general:
I’m super excited to be heading to Maker Mela in Mumbai in a few days. My first time in India and I’m looking forward to meeting the local maker community!
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