tl;dr The Meeshkan Machine Learning Public Beta is officially live. Go learn something on it! Cloudera In 2010, Cloudera played one of the Internet’s great April Fools jokes. Called , they claimed that Apache Hadoop was being run on 1,000,000 Nexus devices to help Google process images. Little did they know that, as mobile computing got more powerful, this is exactly what companies would do all the time — using the machines that connect to their network as an extension of their servers. Pushing the Limits of Distributed Processing Putting aside the Orwellian overtones, this brings up a great question — what if we actually worked together to make distributed systems that could help people crunch data while paying device owners for usage time? Of course, most people in 2010 did not have access to massive amounts of data, let alone the knowledge to analyze it. But it’s 2017. Andrew Ng has published his second on Coursera. Companies are hiring dedicated ML engineers and using (MLaaS) in their workflows. Artists are using Machine Learning to create . Individuals’ personal devices, , are getting more and more powerful. People to mine virtual currency. The game is different… Machine Learning course Machine Learning as a Service crazy cool work even wearables fly GPUs across the globe A World of SETIs The project describes itself as a network of “Internet-connected computers in the Search for Extraterrestrial Intelligence (SETI). You can participate by running a free program that downloads and analyzes radio telescope data.” Your computer helps SETI sift through an obscenely large, ever-increasing dataset to find aliens. How cool is that?!? SETI@home In 2017, the business world is starting to look a lot more like a bunch of mini-SETIs. With techniques like data augmentation as well as awesome projects like the and , people can run their Machine Learning models on giant open datasets and data-streams. So while data is becoming accessible, the problem is that most companies and individuals cannot afford experimenting with Machine Learning in a sandbox environment to gain intuition and understanding about their models. IOTA Data Market OpenMined Meeshkan is a network where anyone can train and test Machine Learning models in a massively parallel way on participating host devices. In return, the hosts make a few bucks. This brings Adam Smith’s invisible hand into GPUs and CPUs and allows people to work with big data without the big price tag. Of course, a Raspberry Pi can never be as fast as an NVIDIA 1080Ti. However, thousands of these little guys will, like the , divide and conquer to get things done in a reasonable time. As device owners make money, businesses can test out ideas cheaply. Enter Meeshkan . African Wild Dog Meeshkan: What’s in a Name? Meeshkan is short for the Hebrew word , which roughly translates to “your dwelling places” and is found in Numbers 24:5. Balaam, unexpectedly moved by the Israelites’ makeshift encampment in Sinai, proclaims “How beautiful are your tents, Jacob, your dwelling places, Israel!” ( ). meeshkenotecha Ma tovu ohalecha Ya’akov, meeshkenotekha Yisrael Biblical distributed systems — Numbers 24:5. Meeshkan takes this small anecdote as a starting point for the entire service. The company’s mission is to make something beautiful out of our scattered digital dwelling places working . together Let’s think about who wins and who loses… Device owners, called “sellers” in Meeshkan, because they make money just by connecting to the network. win Machine Learning practitioners, called “buyers” in Meeshkan, because they can run massively parallel jobs at a fraction of the cost of services with their own machines. This is because a market of thousands of devices dictates the price. win Meeshkan because our company takes a small fraction of each transaction from buyer to seller, not unlike other P2P and B2B services like eBay, Uber or AirBnB. wins Companies that overcharge you for Machine Learning . No, just kidding, everyone wins, so they too because they can lower their prices. In fact, in our private alpha, a Machine Learning consulting company automatically drew extra capacity from the Meeshkan network when demand was high. lose win Go Learn Something! Mosey on over to , then click on one of the “Try Now” links on the homepage to get to the . Meeshkan web app A few random musings: We give you of ML on Meeshkan. Use it, break stuff, report back to us, and help us make Meeshkan better. 100 free hours Once you’re in Meeshkan, click on , scroll to the bottom, and sign up for our Slack #public-beta channel. Settings Subscribe to @ on Medium and @ on Twitter to watch our first end-to-end tutorial, called “Machine Learning the Github API,” which will be available next week. meeshkan MeeshkanML We are open-sourcing our codebase as fast as possible. Check out our projects on . https://github.com/meeshkan Do you like coffee? Do you want more money to buy some? ! Or download our and we’ll transform your droid into a Deep Learning workhorse and pay you for usage time with . Put your device on Meeshkan Android App Iota Do you like coffee? Do you want more money to buy a lot of it? really jobs@meeshkan.com What are you waiting for? on Meeshkan! GO LEARN SOMETHING Your partner in machine (and human) learning,Mike SolomonC.E.O., Meeshkan Machine Learning P.S. Did anyone else pull an all-nighter last night to finish before the deadline? I haven’t been this excited for new installments of a series since the final Harry Potter books. BOOYAH! Convolutional Neural Networks

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