Machine learning - Human Computation Institute Blogs

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Machine learning

A collection of 8 posts

Meet the bot authors - Kirill Brodt and his bot “Clsc2”!

Meet the bot authors - Kirill Brodt and his bot “Clsc2”!

Onto the next! We will be interviewing another one of our “Bot Makers” in this second installment of our three part series. In the last blog post, we had the opportunity to speak with Roman Solovyev about his bot ZFTurbo. ZFTurbo was able to help us out quite a lot

Meet the bot authors - Laura Onac and her bot “GAIA”

Meet the bot authors - Laura Onac and her bot “GAIA”

And GAIA makes three! Some of you might remember Laura Onac’s bot, GAIA, as she was the first bot EVER to play Stall Catchers. Wow, time flies! GAIA was able to compete once again in our most recent Bot Study. Since this Bot Study was a chance to test

Microsoft’s annual Giving Campaign - a time of year when volunteering blooms

Microsoft’s annual Giving Campaign - a time of year when volunteering blooms

Last month alone, the Stall Catchers community grew by 1,167 new catchers! And there’s a great reason for this - October is Microsoft’s annual Giving Campaign, during which employees rally to volunteer their time for a cause that feels important to them. This year, Microsoft invited Stall

Meet the bot authors - Roman Solovyev and his bot “ZFTurbo”!

Meet the bot authors - Roman Solovyev and his bot “ZFTurbo”!

The Bot study in Stall Catchers just ended. We have already discussed bots so much. Players constantly saw bot names on the leaderboard. And the bots analyzed so much data. And still - even bots themselves were just machines, they were all created by great and talented people! To get

Stalls, machines and humans: an update 🤖

Machine learning

Stalls, machines and humans: an update 🤖

If we had a nickel for every time the question "why humans and not machines" has been asked in Stall Catchers [https://stallcatchers.com/virtualMicroscope] history... :) Well, the reasons why humans are so much better at catching stalls have been explained in this blog post [https://blog.hcinst.

The machines are coming! (but the humans are staying) 🤖🤝🧔

The machines are coming! (but the humans are staying) 🤖🤝🧔

You might be familiar with the Hippocratic Oath taken by physicians to “First do no harm”. My colleagues and I have adopted our own version of this: “First use no humans”, which means if there is a way to solve a problem using machines, we should not ask a human

The human/machine partnership solving Alzheimer's disease 📹

How do we combine the best of humans and machines in Stall Catchers [https://stallcatchers.com] - the game crowdsourcing Alzheimer's disease? It took lots of exploration of the existing machine learning algorithms, calibration of crowd wisdom algorithms, and combination of the two in the best possible way.

Why aren't we using machines instead of humans to catch stalls?

Stall Catchers Featured

Why aren't we using machines instead of humans to catch stalls?

Updated, 26 Dec 2018: This issue does not stand still! For most recent updates, see this forum thread [http://forum.eyesonalz.com/t/why-arent-we-using-machines-instead-of-humans-to-catch-stalls/518] . -------------------------------------------------------------------------------- A common, and reasonable question that we are frequently asked is "why are you asking people to annotate blood vessels instead of just