Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.
Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new ...
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 ...
Abstract: Broad learning system (BLS) is an effective neural network requiring no deep architecture, however it is somehow fragile to noisy data. The previous robust broad models directly map features ...
By automating routine tasks, AI is creating more and better jobs, opening up new ways to meet our most basic human needs and ...
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 ...
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.
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