Ryan Lynch

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On November 15, 2018, Ryan Lynch commented on It’s all open at Wikimedia Foundation :

Great article and a great organization! Wikipedia has taught me much throughout my life. One thing I would add is that the site doesn’t use karma or other like incentives as you mentioned, they do have a relatively intense core of users that monitor topics and their are educated individuals who monitor changes to pages with significant number of page views to make sure that nothing inaccurate stays on the site for too long.

Great article! Having spent time doing a project in a fulfillment center very similar to those Amazon operates this article particularly resonated with me. I think it is only a matter of time until this “picking” task is able to be automated whether by an actual robot or by just condensing shelves and have the items “vended” out onto a conveyer belt. This will be a disruptive force in the lives of the hundreds of thousands of people employed in this type of work. In the one warehouse alone that I worked in there were hundreds of people relying on this job for their full income. Society will very soon need to grapple with how to deal with the employment losses that these innovations will bring about.

On November 15, 2018, Ryan Lynch commented on Dr. Roboto Will See You Now – Improving Radiology Diagnostics :

Great article. I think that image analysis is one of the biggest areas for growth in machine learning and had no idea that radiologists were faced with sifting through such massive quantities of imagery. This seems like the perfect use case for an AI first MD second approach towards detection and diagnosis.

I wonder whether in the future imaging studies could be performed of populations over time and AI used to find new ways to detect conditions at an earlier stage than now observable by doctors using image analysis. If imaging could be conducted on a population set during their course of their annual check ups over a long period of time their could be rich data set of images that could then be analyzed by AI after those patients developed conditions down the line to see if earlier methods of detection are feasible.

On November 15, 2018, Ryan Lynch commented on Can Big Data Save The American Machinist? :

Very interesting article and company! I found it fascinating how dispersed the American machinist shop industry is and see forging connections with those shops as an enormous competitive advantage to be leveraged. I think that your suggestion of using machine learning to offer customers suggestions on improving designs to achieve cost efficiencies for manufacturing at scale to be incredibly interesting. I wonder how far machine learning is from being able to analyze CAD drawing and generate designs alteration ideas that stay true to the original need/intent while providing cost savings.

On November 15, 2018, Ryan Lynch commented on Will 3-D Printing Take Us to Mars? Relativity Space Thinks So. :

Very interesting article, while it seems to me that their ideas here are highly ambitious and that additively manufacturing an entire spacecraft seems unlikely in the short to medium term. However, it is encouraging to see a company betting the farm on AM, outside the realm of simply producing printers for commercial sale. I would guess that what will end up coming of this will be improvements and insights into different methods of printing and a great knowledge base regarding new design methods that could be applicable throughout the aerospace sector.

Very interesting article! I wonder going forward what other changes are possible in the vending industry in terms of moving more products outside of stores and putting them more directly in front of the consumer? And how can additive manufacturing help facilitate those changes? I have started to notice in train stations in the United States that CVS and other players are moving towards large vending machines that sell a collection of the highest selling SKU’s and believe that Amazon is rolling out similar concepts.

Great article, there are many parallels between this and the problems faced in the company that I wrote about. It is interesting to see that beyond just the difficulties in making certain additive manufacturing processes cost efficient at scale, that one of the biggest problems is Additive Design or the lack thereof available in the industry. It seems that a relatively large leap forward is needed in understanding how to design pieces that can fully take advantage of the structures and designs that AM makes possible. I wonder if this is something small start ups will be able to solve or something that will require a decade of different university researchers working in more academic environments to solve.

On November 15, 2018, Ryan Lynch commented on Vodafone: leveraging Machine Learning in an (almost) 5G world :

Interesting article! I wonder how Vodafone’s management thinks about the future of the privacy debate regarding customer data and also wonder what percentage of customers would actually choose to opt into such a agreement unless it was somehow disguised from them in the types of shady agreements that these technology companies tend to foist upon users in an effort to collect data. It seems that aside from reducing costs and making in-store optimizations the true market potential that Vodafone has for its data is shopping out customer information to enterprise customers which may create a tension between the B2B side and B2C sides of their business as they look to reverse their revenue losses.