Note to recruiters
Note to recruiters: We are quite aware that recruiters, interviewers, VCs and other professionals generally perform a Google Search before they interview someone, take a pitch from someone, et cetera. Please keep in mind that not everything put on the Internet must align directly to one's future career and/or one's future product portfolio. Sometimes, people do put things on the Internet just because. Just because. It may be out of their personal interests, which may have nothing to do with their professional interests. Or it may be for some other reason. Recruiters seem to have this wrong-headed notion that if somebody is not signalling their interests in a certain area online, then that means that they are not interested in that area at all. It is worth pointing out that economics pretty much underlies the areas of marketing, strategy, operations and finance. And this blog is about economics. With metta, let us. by all means, be reflective about this whole business of business. Also, see our post on "The Multi-faceted Identity Problem".
Monday, January 2, 2017
Sunday, December 18, 2016
You've spent years -- decades -- typing on a keyboard and dragging your mouse around to control your computer. Intel wants to radically shake that all up.
Intel CEO Brian Krzanich on Tuesday offered a glimpse into the company's vision of the near future with demonstrations of cutting-edge technologies, including gesture controls, facial recognition security prompts, drones that know how to move around obstacles and a jacket that can help the visually impaired sense what's around them.
At the heart of many of the demonstrations during his keynote at the Consumer Electronics Show was Intel's RealSense 3D, the company's depth-sensing camera technology. Intel is banking heavily on the future of RealSense. If successful, it could mean a radical change in how we interact with computers.
Wednesday, November 9, 2016
Meanwhile, from the University of Southern California:
When it comes to electronics, silicon will now have to share the spotlight. In a paper recently published in Nature Communications, researchers from the USC Viterbi School of Engineering describe how they have overcome a major issue in carbon nanotube technology by developing a flexible, energy-efficient hybrid circuit combining carbon nanotube thin film transistors with other thin film transistors. This hybrid could take the place of silicon as the traditional transistor material used in electronic chips, since carbon nanotubes are more transparent, flexible, and can be processed at a lower cost.
Electrical engineering professor Dr. Chongwu Zhou and USC Viterbi graduate students Haitian Chen, Yu Cao, and Jialu Zhang developed this energy-efficient circuit by integrating carbon nanotube (CNT) thin film transistors (TFT) with thin film transistors comprised of indium, gallium and zinc oxide (IGZO).
Saturday, October 15, 2016
Want a pay raise? Ask your employer to hire more immigrant scientists.
That's the general conclusion of a study that examined wage data and immigration in 219 metropolitan areas from 1990 to 2010. Researchers found that cities seeing the biggest influx of foreign-born workers in science, technology, engineering and mathematics—the so-called STEM professions—saw wages climb fastest for the native-born, college-educated population.
Wednesday, September 14, 2016
Decades of effort to increase the number of minority students entering the metaphorical science, technology, engineering, and math (STEM) pipeline, haven’t changed this fact: Traditionally underrepresented groups remain underrepresented. In a new paper in the journal BioScience, two Brown University biologists analyze the pipeline’s flawed flow and propose four research-based ideas to ensure that more students emerge from the far end with Ph.D.s and STEM careers.
Thursday, August 11, 2016
And now, news from Germany.
A new parallel-computing approach can solve combinatorial problems, according to a study published in Proceedings of the National Academy of Sciences. Researchers from the Max Planck Institute of Molecular Cell Biology and Genetics and the Dresden University of Technology collaborated with an international team on the technology. The researchers note significant advances have been made in conventional electronic computers in the past decades, but their sequential nature prevents them from solving problems of a combinatorial nature. The number of calculations required to solve such problems grows with the size of the problem, making them intractable for sequential computing. The new approach addresses these issues by combining well-established nanofabrication technology with molecular motors that are very energy-efficient and inherently work in parallel. The researchers demonstrated the parallel-computing approach on a benchmark combinatorial problem that is very difficult to solve with sequential computers. The team says the approach is scalable, error-tolerant, and dramatically improves the time to solve combinatorial problems of size N. The problem to be solved is "encoded" within a network of nanoscale channels by both mathematically designing a geometrical network that is capable of representing the problem, and by fabricating a physical network based on this design using lithography. The network is then explored in parallel by many protein filaments self-propelled by a molecular layer of motor proteins covering the bottom of the channels.
Saturday, July 2, 2016
Meanwhile at Stanford:
Researchers at Stanford University are using 600,000 fictional stories to inform their new knowledge base called Augur. The team considers the approach to be an easier, more affordable, and more effective way to train computers to understand and anticipate human behavior. Augur is designed to power vector machines in making predictions about what an individual user might be about to do, or want to do next. The system's current success rate is 71 percent for unsupervised predictions of what a user will do next, and 96 percent for recall, or identification of human events. The researchers report dramatic stories can introduce comical errors into a machine-based prediction system. "While we tend to think about stories in terms of the dramatic and unusual events that shape their plots, stories are also filled with prosaic information about how we navigate and react to our everyday surroundings," they say. The researchers note artificial intelligence will need to put scenes and objects into an appropriate context. They say crowdsourcing or similar user-feedback systems will likely be needed to amend some of the more dramatic associations certain objects or situations might inspire.