Could you please explain your comment? The link that you have provided explains that with the new Intel Xeon Scalable generation it is difficult to implement single-root PCI complex on typically available motherboards, while according to [1] "the new Intel® Xeon® W processors are based on the Intel® Xeon® Scalable processor microarchitecture". Therefore, Intel Xeon W would have the same problems for supporting single-root PCI complex as the Xeon Scalable mentioned in the link you have provided.
Self-driving cars are expected to take over the roads, however no programmer is able to write code that does this directly, without machine learning. However, programmers have built all kinds of software of great value, from operating systems to databases, desktop software and so on. Much of this software is open source and artificial systems can learn from it. Therefore, it could well be that, in the end, it would be easier to build artificial systems that learn to automatically develop such software than systems that autonomously drive cars, if the right methodologies are used. The author is right to say that neural program synthesis is the next big thing, and this also motivated me to switch my research to this field. If you have a PhD and are interested in working in neural program synthesis, please check out these available positions: http://rist.ro/job-a3
Ironically, on the right of this article there is a link to another article from the same source, entitled "Top of the bots: This AI isn't a cold, cruel killing machine – it's a pop music hit machine" [1]. Perhaps the link was also placed there by a machine learning / AI algorithm...
The machines showed in these videos seem suited for very large and expensive processing facilities, which probably are cost-effective because one supplies the consumption of millions to tens of millions of people. But how smaller producers can automatize their processing without owning or depending on these facilities? Would robots that cost of the order of tens of thousands euros / dollars, that automate more flexibly but slowly than the machines in the videos, be cost-effective for smaller producers? How big is the market for such robots?
I have been using Keynote [1] for years, without ever losing information. I find that its tree data structure is extremely useful. It is an open-source desktop program. Unfortunately its development seems to have been put on hold. It would be great if developers would keep it updated (on Windows 8, there are some small UX glitches).
The linked webpage is the history of the Wikipedia article on Blueseed, where the former COO (apparently) commented an edit with this: "Blueseed is now dead in the water, and I can say so myself as the former COO. Will someone like Elon Musk fish it out?"
Epistemio allows rating publications as well as publishing post-publication peer reviews. Even though ratings and reviews may be anonymous, reviewers are authenticated, in order to prevent the kind of issues mentioned in the target article.
It's not the first time they send broken links. I've also received some in marketing emails from them. And it's not the only issue with Microsoft, but it's illustrative for how they are unable to manage the complexity of their stuff.
Microsoft seems to be a crumbling empire. They seem not even able to maintain their websites. Here is a message I got today from Microsoft Azure: "NO ACTION REQUIRED: We want to notify you of an upcoming maintenance operation to your Virtual Machines in West Europe, starting at 23:00 Saturday, October 18th UTC. Single instance virtual machine deployments that are not in availability sets will reboot once during this maintenance operation. We expect the update to finish within six to eight hours of the start time. Please note that Cloud Services using Web or Worker roles aren't impacted by this maintenance operation. This link contains additional information: http://aka.ms/vax58". The link they give leads to a 404 error.
If you are a scientist, here is the Epistemio page for rating and reviewing the scientific publication discussed here: http://www.epistemio.com/p/AJ09k7Yx
Great stuff! However, I thought that the Echo Nest tools that they bought were already doing such stuff. If not, what are they currently using for content-based recommendation?
Hmm... I think that eating lettuce, and vegetables in general, is healthy. The title is just sensationalist, and the article scares people with the possibility that bacteria lives on the plants. If we would take the article seriously, living in cities or using our keyboard also make us sick: the air in cities is full of dog poo dust and the associated bacteria, and keyboards are also full of bacteria: http://www.medicalnewstoday.com/articles/233104.php , http://news.bbc.co.uk/2/hi/7377002.stm .
The alternative is open post-publication peer review: any scientist that reads a paper in her/his field of expertise may act as a reviewer and publish a rating or review of that paper.
The end result does not create more work for the reader, as something like the average of ratings received by a paper gives in many cases more information than just the name of the journal where it has been published. For example, this Nature paper currently has a rating of 2% on Epistemio, although it has been published in the prestigious Nature: http://www.epistemio.com/p/Jr3gS9VW .
The journal name is a too weak information as compared to individual ratings of papers, as the distribution of the quality of papers from a given journal is very skewed.
[1] https://www.intel.com/content/www/us/en/processors/xeon/xeon...