Imagine you are a scientist. Okay now that you’re a scientist imagine that your job is to lead a team and search through extremely large data files and extract enormous volumes of the necessary information out of the data that may or may not have any correlation to your interests as a scientist. Not the type of scientist you thought of was it? Well actually these scientist, data scientist, are extremely rare as Nick Heath in his blog "Struggling to find a data scientist? Get ready for an AI that can do the job instead" explains them as the "unicorns" of the work force. But there is hope for the companies like IBM, Google, and Apple that do need data mining scientist. Behold the Data Science Machine. Constructed at MIT, this software is able to act like a human brain, reasoning through large datasets and deciding which variables to analyze in the datasets in order to make a prediction. This can seem too good to be true for some but there is more. The team at MIT put the machine in competitions against the best future data scientist and out of 906 teams it finished ahead of 615. With predictions 95 percent accurate. This isn't that impressive considering that it was beat by 291 other teams. Unfortunately these tasks were not timed or the machine would have rolled its competition. Nick explains, " While it typically took teams of people months to devise prediction algorithms, the Data Science Machine took between two and 12 hours to produce each of its entries." and for this reason Marco Seltzer, a professor at Harvard, said, “I think what they've done is going to become the standard quickly - very quickly." Now the only question is how does this work? How does taking the complexity and capabilities of the human brain's ability to remember and process its surroundings and apply them to an AI software? Nick Heath answers that also. In his blog he goes straight to the leader of the project Kalyan Veeramachaneni, the research scientist at CSAIL (MIT's Computer Science and Artificial Intelligence Laboratory) who explains that "The first thing you have to do is identify what variables to extract from the database or compose, and for that, you have to come up with a lot of ideas." Then Nick brings Max Kanter, "who is responsible for MIT's master thesis in computer science which is the basis of the Data Science Machine." and states the purpose for such a project "There's so much data out there to be analyzed. And right now it's just sitting there not doing anything. So maybe we can come up with a solution that will at least get us started on it, at least get us moving. " According to people that have seen the machine Max Kanter and the others in the team have gone beyond success and sparked a revolution in how we not only look at data in a lab but how this has the potential to change the entire way we use and think of AI.
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Think back to the technology in home computers in the early 2000’s, when computers half the speed of an average person’s phone today were operated by software that was less complex than an app. That is a scary thought, isn’t it? Nick Heath in his article The Windows 10 laptops, 2-in-1 PCs and phones heading your way explains the next evolution in the phone industry by explaining how computers can handle the new Windows 10 Operating System while also explaining how not only computers but phones will be coming with this software available.
In his article, Heath shows the first computers and phones that will be arriving to the market with the new Windows 10 experience. The lists of hardware and the pricing options for these computers shows people what to expect. The computers listed in the article range from a full laptop such as the Lenovo M41 to a computer that can fit in your pocket like the ASUS Vivo stick PC. From my own experiences with the predecessor Windows 8 and the new Windows 10, I can say that Windows 10 is better. While not perfect, it shows that the people at Microsoft have listened to the feedback from Windows 8. People using Windows 10 will be pleased with its simplicity and the fact that it just works. The idea of an operating system running on such a wide range of Hardware is thrilling and I can’t wait to see what comes next for Windows 10. Micah http://tr2.cbsistatic.com/hub/i/2015/09/07/22a19efc-1899-48a1-b5c2-dbe3888fbed2/574bc7299e923ff218d8799ed8728140/asus-vivostick-pc3-colors.png http://tr3.cbsistatic.com/hub/i/2015/09/08/8e99249b-95b5-40a7-9578-3bc2b9c2cf2e/493c0da6cab5f3f81a02364b7539f6fa/liquidm320m330family.jpg |
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