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) ...
For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...
Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.
It is simply the natural expression of a society whose talent has always extended far beyond the narrow boundaries it was historically allowed to occupy.If anything still appears “exceptional” about ...
Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...
Abstract: Unsupervised feature selection (UFS) is an important technology for dimensionality reduction and has gained great interest in a wide range of fields. Recently, most popular methods are ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Reflecting on the methodological approaches used when engaging historically marginalized groups in computing survey research.
Recent college graduates are questioning the value of their computer science degrees because there aren't as many lucrative ...
From GPT to Claude to Gemini, model names change fast, but use cases matter more. Here's how I choose the best model for the ...
Computational biology expert Nadia Lanman helps cancer researchers find solutions in massive datasets generated through cancer research at Purdue University.
Abstract: Quantum computers, leveraging superposition and entanglement, offer significant qubit efficiency for data processing compared to classical systems. However, encoding classical data into ...
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