ScienceDaily: Computers and Internet News |
- Researchers invent 'meta mirror' to help advance nonlinear optical systems
- Censorship? Researchers develop 'Encore' to monitor Web access
- Research could lead to dramatic energy savings at data farms
- Superconducting-silicon qubits: Using a bottom-up approach to make hybrid quantum devices
- 'Deep learning' makes search for exotic particles easier: New computing techniques could aid hunt for Higgs bosons
Researchers invent 'meta mirror' to help advance nonlinear optical systems Posted: 02 Jul 2014 02:00 PM PDT Scientists have created a nonlinear mirror that could advance laser systems. The metamaterials were created with nonlinear optical response a million times as strong as traditional nonlinear materials. |
Censorship? Researchers develop 'Encore' to monitor Web access Posted: 02 Jul 2014 08:10 AM PDT Researchers have created a tool to monitor the accessibility of Web pages around the world that can be installed by adding a single line of code to a web page. The tool, Encore, runs when a user visits a website where the code is installed and then discreetly collects data from potentially censored sites. The researchers hope the data they collect will allow them to determine the wheres, whens and hows of what's blocked, as well as identify ways to get around restricted access. |
Research could lead to dramatic energy savings at data farms Posted: 02 Jul 2014 06:36 AM PDT Computer scientists have developed a wireless network on a computer chip that could reduce energy consumption at huge data farms by as much as 20 percent. |
Superconducting-silicon qubits: Using a bottom-up approach to make hybrid quantum devices Posted: 02 Jul 2014 06:36 AM PDT Theorists propose a way to make superconducting quantum devices such as Josephson junctions and qubits, atom-by-atom, inside a silicon crystal. Such systems could combine the most promising aspects of silicon spin qubits with the flexibility of superconducting circuits. |
Posted: 02 Jul 2014 06:36 AM PDT Fully automated 'deep learning' by computers greatly improves the odds of discovering particles such as the Higgs boson, beating even veteran physicists' abilities, according to new findings. |
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