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ScienceDaily: Computers & Math News |
| Researchers magnify hidden biological structures with MAGNIFIERS Posted: 18 May 2022 01:06 PM PDT A research team has combined two emerging imaging technologies to better view a wide range of biomolecules, including proteins, lipids and DNA, at the nanoscale. Their technique brings together expansion microscopy and stimulated Raman scattering microscopy. |
| Accelerating the pace of machine learning Posted: 18 May 2022 01:06 PM PDT Machine learning happens a lot like erosion. Data is hurled at a mathematical model like grains of sand skittering across a rocky landscape. Some of those grains simply sail along with little or no impact. But some of them make their mark: testing, hardening, and ultimately reshaping the landscape according to inherent patterns and fluctuations that emerge over time. Effective? Yes. Efficient? Not so much. Researchers are now seeking to bring efficiency to distributed learning techniques emerging as crucial to modern artificial intelligence (AI) and machine learning (ML). In essence, the goal is to hurl far fewer grains of data without degrading the overall impact. |
| Component for brain-inspired computing Posted: 18 May 2022 10:07 AM PDT Researchers have developed a new material for an electronic component that can be used in a wider range of applications than its predecessors. Such components will help create electronic circuits that emulate the human brain and that are more efficient at performing machine-learning tasks. |
| Technique protects privacy when making online recommendations Posted: 18 May 2022 08:38 AM PDT Researchers have developed a novel privacy-preserving protocol that could enable an algorithm that provides recommendations to guarantee a user's personal information remains secure while ensuring recommendation results are accurate. Their technique is so efficient it can run on a smartphone over a very slow network. |
| Teaching physics to AI makes the student a master Posted: 18 May 2022 08:38 AM PDT Researchers have demonstrated that incorporating known physics into machine learning algorithms can help the inscrutable black boxes attain new levels of transparency and insight into material properties. |
| Researchers create photonic materials for powerful, efficient light-based computing Posted: 18 May 2022 08:38 AM PDT Researchers are developing new photonic materials that could one day help enable low power, ultra-fast, light-based computing. The unique materials, known as topological insulators, are like wires that have been turned inside out, where the current runs along the outside and the interior is insulated. In their latest work the researchers demonstrated a new approach to create the materials that uses a novel, chained, honeycomb lattice design. |
| New model could improve matches between students and schools Posted: 18 May 2022 07:17 AM PDT Simultaneous and uncoordinated school admissions in situations where students have multiple options can lead to unfilled seats and a lot of stress for families and administrators. To create a fairer, more efficient system, market design researchers created a matchmaking model that draws from game theory, computer science and industrial engineering. |
| Energy-efficient AI hardware technology via a brain-inspired stashing system? Posted: 17 May 2022 06:04 PM PDT Researchers have proposed a novel system inspired by the neuromodulation of the brain, referred to as a 'stashing system,' that requires less energy consumption. Computer scientists have now developed a technology that can efficiently handle mathematical operations for artificial intelligence by imitating the continuous changes in the topology of the neural network according to the situation. |
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