For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...
Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new ...
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Lowering barriers to explainable AI: Control technique for LLMs reduces resource demands by over 90%
Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...
These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
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