The Osaka-based electronics maker said Tuesday it would introduce a new mobile communication device in 2016 that is a tiny android robot. It will come with features of a smartphone including email, Internet connectivity, camera and a 2-inch display. Still to be decided is whether the device will use Google Inc.’s Android mobile operating system or another operating system.
Science is swimming in data. And, the already daunting task of managing and analyzing this information will only become more difficult as scientific instruments — especially those capable of delivering more than a petabyte (that’s a quadrillion bytes) of information per day — come online.
Tackling these extreme data challenges will require a system that is easy enough for any scientist to use, that can effectively harness the power of ever-more-powerful supercomputers, and that is unified and extendable. This is where the Department of Energy’s (DOE) National Energy Research Scientific Computing Center’s (NERSC’s) implementation of SciDB comes in.
At Milpitas-based flash memory storage and software company SanDisk Corp., Nithya Ruff, director of the company’s open source strategy, is a huge driver behind science, technology, engineering and math initiatives to get more girls interested in the field. After growing up in Bangalore, India, Ruff learned to code at North Dakota State University, where she earned her computer science master’s degree.
But inside the spacecraft's Linux-based flight software, a problem was brewing. Every 15 seconds, LightSail transmits a telemetry beacon packet. The software controlling the main system board writes corresponding information to a file called beacon.csv. If you’re not familiar with CSV files, you can think of them as simplified spreadsheets—in fact, most can be opened with Microsoft Excel.
And Julia is a big deal — it’s a free alternative to proprietary tools for doing data science, like MathWorks’ MATLAB and Wolfram’s Mathematica, and it’s more contemporary than open-source languages R and Python. More companies are hiring data scientists to make more data-driven decisions, and open-source tools often come in handy.