New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
By studying tiny distortions in the shapes of distant galaxies, scientists mapped dark matter and dark energy across one of the largest sky surveys ever assembled. Their results back the standard ...
Understanding the core principles of computer programming is the first step to writing effective code. Learning about ...
This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...
Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach
Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
In the race to develop artificial intelligence, tech giants are building data centers that guzzle up water. That has led to problems for people who live nearby. In the race to develop artificial ...
A few years back, one of us sat in a school district meeting where administrators and educators talked about the latest student achievement results. The news was not good. Students’ test scores hadn’t ...
The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback