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ScienceDaily: Computers & Math News |
Building explainability into the components of machine-learning models Posted: 30 Jun 2022 10:48 AM PDT Researchers have created a taxonomy and outlined steps that developers can take to design features in machine-learning models that are easier for decision-makers to understand. |
Breaking AIs to make them better Posted: 30 Jun 2022 08:45 AM PDT Current AIs are very accurate but inflexible at image recognition. Exactly why this is remains a mystery. Researchers have developed a method called 'Raw Zero-Shot' to assess how neural networks handle elements unknown to them. The results have the potential to help researchers identify the common features that make neural networks 'non-robust,' and develop methods to make AIs more reliable. |
Common gene used to profile microbial communities Posted: 30 Jun 2022 08:44 AM PDT Computer scientists develop Emu, an algorithm that uses long reads of genomes to identify the species of bacteria in a community. The program could simplify sorting harmful from helpful bacteria in microbiomes like those in the gut or in agriculture and the environment. |
Making dark semiconductors shine Posted: 27 Jun 2022 09:49 AM PDT The energy-levels of semiconductors can be rearranged by coupling between light particles (photons) and excited electrons so that a formerly dark material becomes optically active. In their experiments, the researchers succeeded in manipulating the energy-level structure in an ultra-thin sample of the semiconductor tungsten diselenide. This material, which normally has a low luminescence yield, began to shine, the team reports. |
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