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MIT has a robotic platform that has been in the works since 2011 and can 3D print a 12 foot high structure in 14 hours. https://techcrunch.com/2017/04/27/mits-giant-mobile-3d-printer-can-build-a-building-in-14-hours-and-some-day-it-may-be-headed-to-mars/ This is actually a really neat video and the article notes that according to MIT this is a platform and not a 3D printer since Dr. Keating envisions that this will have several different platforms working in tandem to create a structure, including having some platforms digging, milling and printing. One of the limitations that I can see with this is maintaining the raw materials for it to construct with as well as the size and scale of the structures, but it could be a great technology for building more rigid structures in a harsh environment or to build temporary rigid structures in a disaster zone.
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I first found this article on Hexus, but in an article published by MIT and the University of Chicago, researchers are publishing their findings on how to use a modified version of existing lithography microchip circuitry production to create self assembling circuitry smaller than the lithography technique. From the Hexus Article, the process appears to be: MIT Article: https://news.mit.edu/2017/self-assembly-smaller-microchip-patterns-0327 Hexus Article: http://hexus.net/tech/news/industry/104020-researchers-progress-chip-self-assembly-technique/ The above image is from the Hexus Article with the following quote: Combining this information with the news that Intel is preparing for their 10nm & 10nm+ processes to move forward and in may appear that we can see sub 7nm processes in the near future.
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One thing I want to make clear right from the start. I do not let school get in the way of my education. I am a self-taught HTML, Python, Java, and C/C++ coder. I also taught myself how to solder (fixing up broken TI 83 when it was profitable now I can't make a living off it because too many people are doing it now) and fix smartphones, tablets, and laptops (thank you, Louis Rossmann). I am currently studying Linux (don't know why it took me so long to get into it), PERL, and C#. I am constantly looked over in job applications (input from a specialist) because of my lack of education, or rather school education, and experience. This includes low-level "intro" jobs, whatever that means. So I am now attending BYU-Idaho online ($830 for 15 credits and no expensive books sounds great to me!) I will be moving to Idaho next year to finish my degree (Computer Engineering), mainly because of the price it is to go there physically and to live there. I live in AZ and for a 2-bedroom apartment costs around $1100 and you have to pay utilities (electric is killer here) whereas in Idaho it is $700 with utilities and high-speed internet. I work in a call-center for Safelite and I was talking with an older gentleman who owns his company and would rather hire someone from a first-rate school (he said I should go to MIT and with what I already know that could help me get in) then go to a second-rate private school like BYU-Idaho. Despite the major differences in costs (BYU-I a sum $4k and MIT $47K). Of course, if I could get into MIT with a scholarship that would pay most if not all tuition I'd take it but the likelihood of that happening is like winning the lottery to me. To anyone who is a hiring manager or high in the tech industry would the school that I attend really matter? Even if I have a high GPA (currently 3.7) and all credentials/certifications? Any thoughts on this would be great to have and I may look into a course redirection if necessary. P.S. I didn't care about anything in high school so I had a low GPA and no SAT scores. If anyone out there reads this, don't make the same mistake I did and actually care about what you learn.
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Original Article from the Verge - https://www.theverge.com/2018/6/7/17437454/mit-ai-psychopathic-reddit-data-algorithmic-bias So the people at MIT are back at it again with AI and they let an AI look at reddit for a bit now whenever he looks at those pictures inside that circle all it see is murder, however the people at MIT are saying that this is the beginning of the end however it shows bias in AI. they also said that this is just a thought experiment about bias Now I'm not sure how much it relates to this however when they brought up bias it reminded me of a discussion I had with one of my teachers were he said " To make a documentary your never going to be 100% unbiased and no one can be, because if your making a movie about that issue your going to have an opinion about it because you had to research the event it self so you will develop an informed opinion, and even the most perfect robot will never be able to be unbiased because for it to learn what to film and now what to leave in and out, in the edit it needs to know whats going on so it will develop an opinion in the process." Anyway I'm done, go live your life lol.
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Engadget: https://www.engadget.com/2016/08/24/mit-accidentally-discovered-a-cleaner-smelting-process/ MIT: http://news.mit.edu/2016/new-method-producing-some-metals-0824 So MIT has apparently discovered a new smelting process. A process that is both more efficient and cleaner than current industry standard processes. When working on new and interesting battery concoctions they found one that did not act as they thought it should, it wouldn't hold a charge... when they investigated they found out the process was electrolysing, separating Antimony from the cocktail at a 99.9% purity with a fraction of the power needed compared to traditional methods and releasing minuscule amounts of pollutants. I am really looking forward to this being developed. Nickel especially is downright diabolical in its environmental impact, just for automotive batteries and electronics. But if it could also be used for Copper or other common industrial metals? And this process looks like it could be nigh infinitely scalable. From tiny home industry all the way up to mega mines and super-factories, it could revolutionize separation and smelting for huge swaths of the market. This could change the game for battery tech, and greatly reduce the cost of a lot of the more mundane metallic components that go into our electronics.
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Source: http://www.engadget.com/2016/03/05/quantum-computer-with-5-atoms/ Well, this is cool. Only problem is it can only find the factors of 15, but more atoms = bigger numbers. We can only imagine what this would mean for security, though. On another note, we could in the (far) future have quantum Gpus that have a huge amount of cores that could have a huge amount of computing power
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Researchers at MIT have developed a technique that could lead to higher quality 3D cameras that could be used in Smartphones and Autonomous vehicles. This technique could also lead to being given the ability to take a picture of an object, then use a 3D printer to create a replica. MIT researchers have shown that by exploiting the polarization of light — the physical phenomenon behind polarized sunglasses and most 3-D movie systems — they can increase the resolution of conventional 3-D imaging devices as much as 1,000 times. When polarized light gets the bounce If an electromagnetic wave can be thought of as an undulating squiggle, polarization refers to the squiggle’s orientation. It could be undulating up and down, or side to side, or somewhere in-between. Polarization also affects the way in which light bounces off of physical objects. If light strikes an object squarely, much of it will be absorbed, but whatever reflects back will have the same mix of polarizations that the incoming light did. At wider angles of reflection, however, light within a certain range of polarizations is more likely to be reflected. This means that for any surface in a visual scene, measurements based on polarized light offer two equally plausible hypotheses about its orientation. Canvassing all the possible combinations of either of the two orientations of every surface, in order to identify the one that makes the most sense geometrically, is a prohibitively time-consuming computation. Polarization plus depth sensing To resolve this ambiguity, the Media Lab researchers use coarse depth estimates provided by some other method, such as the time a light signal takes to reflect off of an object and return to its source. Even with this added information, calculating surface orientation from measurements of polarized light is complicated, but it can be done in real-time by a graphics processing unit, the type of special-purpose graphics chip found in most video game consoles. The researchers’ experimental setup consisted of a Microsoft Kinect — which gauges depth using reflection time — with an ordinary polarizing photographic lens placed in front of its camera. In each experiment, the researchers took three photos of an object, rotating the polarizing filter each time, and their algorithms compared the light intensities of the resulting images. On its own, at a distance of several meters, the Kinect can resolve physical features as small as a centimeter or so across. But with the addition of the polarization information, the researchers’ system could resolve features in the range of hundreds of micrometers, or one-thousandth the size. For comparison, the researchers also imaged several of their test objects with a high-precision laser scanner, which requires that the object be inserted into the scanner bed. Polarized 3D still offered the higher resolution. A mechanically rotated polarization filter would probably be impractical in a cellphone camera, but grids of tiny polarization filters that can overlay individual pixels in a light sensor are commercially available. Capturing three pixels’ worth of light for each image pixel would reduce a cellphone camera’s resolution, but no more than the color filters that existing cameras already use. The new paper also offers the tantalizing prospect that polarization systems could aid the development of self-driving cars. Today’s experimental self-driving cars are, in fact, highly reliable under normal illumination conditions, but their vision algorithms go haywire in rain, snow, or fog. OPINION High resolution smartphone images are great and all but what piqued my interest the most would be the ability to create a 3D print out of any given object. I also like the idea of autonomous vehicles taking advantage of this technology to further increase their accuracy on the road. Have any other ideas on how this technology could be used? Feel free to post down below and give critique's on how I could better future news posts. Sauce Primary: http://news.mit.edu/2015/algorithms-boost-3-d-imaging-resolution-1000-times-1201 Secondary: http://www.engadget.com/2015/12/02/polarized-3d-imaging/
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Researches at MIT had successfully demonstrated a working prototype of CPU with directly integrated photonic and conventional electronic components on a single die, working together. The photonic part is used for the I/O interface with the memory, while the CPU itself is made using a standard manufacturing process. Source: http://www.technologyreview.com/news/544961/light-chips-could-mean-more-energy-efficient-data-centers/ Peer review article: http://www.nature.com/nature/journal/v528/n7583/full/nature16454.html
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So, I just came across this in the technology section of google news, and it made me laugh. A group at MIT has created a team of robotic bartenders. Source Seems pretty awesome to me.
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Source: Engadget MIT has created a new system which allows them to 3D print glass. They used two heated chambers, one 1900°F chamber acting as a kiln and another to anneal the structures. Full story/source: http://www.engadget.com/2015/08/21/mit-figured-out-how-to-3d-print-using-glass-instead-of-plastic//?utm_medium=feed&utm_source=Feed_Classic&utm_campaign=Engadget&ncid=rss_semi
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Massachusetts Institute of Technology (MIT) is developing a 110-core processor. They announced it during the Hot Chips conference that is being held at Stanford university. The experimental chip focuses on decreasing internal traffic on the CPU, this is achieved by replacing the cache with a shared memory pool. The CPU also has the ability to predict data movement which reduces the number of required cycles for data movement. AMD and Intel are no longer working on very high core count CPU's because of the high data overhead they create, this new development should tackle that problem. (Old vs New) Sources: http://www.pcworld.com/article/2047581/mit-develops-110core-processor-for-more-powerefficient-computing.html https://tweakers.net/nieuws/90956/mit-ontwikkelt-processor-met-110-cores.html
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Ever wanted your personal Wall-e? Well, we are getting closer to it. They are trying to fund it through Indiegogo for now and here is the commercial: Original article from ExtremeTech: http://www.extremetech.com/extreme/186401-meet-jibo-the-worlds-first-family-robot-made-by-mits-social-robotics-master What do you guys think, would you buy one if it's good as the one on the video?
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MIT Develops Screen Prototype That Corrects For Vision (Near Sighted...)
Guest posted a topic in Tech News
https://www.youtube.com/watch?v=SNdapCs6vR8 So MIT has released this video explaining their research into screen technology that corrects for vision issues such as nearsightedness (myopia), farsightedness, astigmatism, etc. Essentially with this tech, the screen corrects for your vision and you don't need to wear glasses to see what is displayed on the screen perfectly. They show off a current working prototype that you put over your existing smartphone. As someone who had laser eye surgery for myopia many years ago, and have now developed just enough astigmatism to need glasses to see comfortably, this seems pretty cool. Imagine when you get to work, or when you sit down to play a video game, this is when you can take your glasses OFF, and actually relax or focus without that nose pressure (or without your eyes getting dry from contacts). --- PS: Hey Linus if you decide to use this in the WAN Show, it's simply pronounced KA-BAM... Erik works fine too- 21 replies