An anonymous reader writes "Anybody think 3-D printing technology will have enough moxie to pull off a construction of Babbage's analytical engine by 2021, the 150th anniversary of Babbage's passing? The Guardian reports, 'Plan 28 – named after one set of Babbage's plans – has assembled the leading technical experts on his designs and just started fundraising. The first stage of the project involves studying the thousands of pages of handwritten notes that Babbage left behind, to determine what exactly needs to be built. Once the study is complete, we'll be building a 3D physical computer simulation of the analytical engine to verify that his design is workable. Reaching that stage is likely to cost about £250,000. Only once the feasibility of building the machine has been established will the much larger fundraising effort needed for the actual construction to begin. But what we hope to do is create a working monument to the man who conceived the computer, and to inspire today's scientists and engineers to dream a century into their future.'"

theodp writes "ComputerWorld reports that IBM has stopped providing breakouts on US employees, closing a door to data that provided insights into the bellwether company's employment shift. In its latest Annual Report, Big Blue only provides its global headcount, and an IBM spokesman confirmed that disclosure of US headcount is a thing of the past. The Rochester Institute of Technology's Ron Hira called the US workforce data critical for policymakers trying to understand the dynamics of offshoring. 'By hiding its offshoring, IBM is doing a disservice to America — through omission the company is providing misleading labor market signals and information to policy makers,' Hira said. Ironically, CEO Sam Palmisano's Letter to Shareholders, which accompanied the Annual Report, touts how IBM's Analytics and 'Smarter Planet' efforts are empowering US government decision-makers. Nondisclosure domestically and abroad seems to be the new rule of thumb for Big Tech, sparking calls for government intervention." IBM laid off about 10,000 US workers last year, and 2,900 so far this year, according to the Alliance@IBM, a labor union.

arcticstoat calls our attention to MIT research that has produced a version of polyethylene that can conduct heat away from computer chips. Polyethylene is the most widely used plastic. It's not clear how practical this research is for industrial-scale use, involving as it does an atomic-force microscope. The work is detailed in a paper published in Nature Nanotechnology this month. "The new process causes the polymer to conduct heat very efficiently in just one direction, unlike metals, which conduct equally well in all directions. ... The key to the transformation was getting all the polymer molecules to line up the same way, rather than forming a chaotic tangled mass, as they normally do. The team did that by slowly drawing a polyethylene fiber out of a solution, using the finely controllable cantilever of an atomic-force microscope, which they also used to measure the properties of the resulting fiber. This fiber was about 300 times more thermally conductive than normal polyethylene along the direction of the individual fibers, says the team’s leader..."

santosh maharshi writes "On social networks like Facebook, even if you have kept your profile very private, people can just look at your friends list and infer lots of vital information about you. Most of the social networks like Facebook and LinkedIn allow people to see your picture and your friends list as part of the open access for visitors (the article says that only 5% of Facebook users have bothered to hide their friends list). In a study titled You Are Who You Know: Inferring User Profiles in Online Social Networks (PDF), conducted by Alan Mislove of Northeastern University and his colleagues at the Max Planck Institute for Software Systems, an algorithm was tested that can accurately infer the personal attributes of Facebook users simply by looking at their friend lists. 'At Rice [University], the algorithm accurately predicted the correct dormitory, graduation year, and area of study for the many of the students. In fact, among these undergraduates, researchers found that “with as little as 20 percent of the users providing attributes we can often infer the attributes for the remaining users with over 80 percent accuracy."'"