Zeroing in on the origins of bias in large language models
When artificial intelligence models pore over hundreds of gigabytes of training data to learn the nuances of language, they also imbibe the biases woven into the texts.
Jan 15, 2024
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When artificial intelligence models pore over hundreds of gigabytes of training data to learn the nuances of language, they also imbibe the biases woven into the texts.
Jan 15, 2024
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Researchers at the Center for Cognitive Science at TU Darmstadt and hessian.AI have investigated the properties of behavioral economic theories automatically learned by AI.
Jan 12, 2024
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Neural network learning techniques stem from the dynamics of the brain. However, these two scenarios, brain learning and deep learning, are intrinsically different. One of the most prominent differences is the number of layers ...
Jan 12, 2024
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Metal matrix composites are a modern alternative to steel. They are molecular-reinforced materials, which consist of a metal reinforcement matrix and filler. Such composites can be further strengthened, for example, using ...
Jan 10, 2024
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Artificial intelligence tools hold promise for applications ranging from autonomous vehicles to the interpretation of medical images. However, a new study finds these AI tools are more vulnerable than previously thought to ...
Dec 4, 2023
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Tandem solar cells based on perovskite semiconductors convert sunlight to electricity more efficiently than conventional silicon solar cells. In order to make this technology ready for the market, further improvements with ...
Nov 22, 2023
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Four years ago, UC Santa Cruz's Jason Eshraghian developed a Python library that combines neuroscience with artificial intelligence to create spiking neural networks, a machine learning method that takes inspiration from ...
Nov 17, 2023
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Face recognition technology emulates human performance and can even exceed it. And it is becoming increasingly more common for it to be used with cameras for real-time recognition, such as to unlock a smartphone or laptop, ...
Nov 13, 2023
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Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few years, some computer scientists ...
The state space explosion problem means that the state space of Petri nets (PNs) grows exponentially with PNs' size. Even the fundamental reachability problem is still an NP-Hard problem in general. It has been proved that ...
Nov 8, 2023
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