
Ingrid Fadelli
Science & tech journalist. writer. dreamer. 📝✨ (she/her)
Articles
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5 days ago |
phys.org | Ingrid Fadelli |Lisa Lock |Robert Egan
Large language models (LLMs), such as the model underpinning the functioning of the well-known conversational platform ChatGPT, have proved to be very promising for summarizing and generating written texts. However, they could also be interesting tools for conducting research rooted in psychology, behavioral science and other scientific disciplines.
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5 days ago |
flipboard.com | Ingrid Fadelli
3 hours agoDon’t try to interrupt a bad habit. Instead, give in… and then think about how you feel about what you’re doing. I like to think I’m fairly disciplined. I can sit and write all day. I can do mundane physical tasks for even longer. (My superpower, if I have one, is the ability to perform mindless …
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6 days ago |
phys.org | Ingrid Fadelli |Lisa Lock |Robert Egan
Embezzlement of entanglement is an exotic phenomenon in quantum information science, describing the possibility of extracting entanglement from a resource system without changing its quantum state. In this context, the resource systems play the role of a catalyst, enabling a state transition that would otherwise be impossible, without being consumed in the process. For embezzlement of entanglement to be possible, the resource state needs to be highly entangled.
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1 week ago |
medicalxpress.com | Ingrid Fadelli |Gaby Clark |Robert Egan
Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very effective in summarizing complex patterns and information. Past psychology studies suggest that the human brain stores memories and experiences following graph-like and structured patterns, specifically as a network of associations, also referred to as cognitive graphs.
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1 week ago |
techxplore.com | Ingrid Fadelli |Robert Egan
Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a result, in addition to tackling various real-world computational problems, they could help neuroscientists and psychologists to better understand the underpinnings of specific sensory or cognitive processes.
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Brain cortex structure linked to mental abilities and psychiatric disorders https://t.co/ZfzaMPEpV8

New approach reversibly configures single and heteronuclear dual-atom catalysts on MoS₂ substrate https://t.co/zd95cXe58O

Vision-language models gain spatial reasoning skills through artificial worlds and 3D scene descriptions https://t.co/M1nFeCVdCJ