A research team developed a fully automated, drone-based phenotyping workflow that can measure key peanut canopy 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 ...
6don MSN
Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability
AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
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 ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
The ideas presented in George Lakoff and Srini Narayanan's The Neural Mind are fascinating, but the writing is far less ...
WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...
Memories and learning processes are based on changes in the brain's neuronal connections, and as a result, in signal ...
What is the neuropsychological basis for the brain's ever-changing contextualized goals? I explore this question from the perspective of the Affect Management Framework (AMF).
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