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This page:UHH > MIN > Department of Informatics > Institutes > Research groups > Knowledge Technology > About us > News > Knowledge Technology's paper ranking as the most downloaded article from Neural Networks
1 August 2020
German I. Parisi’s, Ronald Kemker's, Jose L. Part's, Christopher Kanan's and Stefan Wermter's paper Continual lifelong learning with neural networks: A review from 2019 is now ranking as the most downloaded article from Neural Networks.
Photo: UHH/Knowledge Technology
A new video “Squeeze the Ball" has been published on the Youtube channel of Knowledge Technology. In this video, NICO classifies different objects not by watching them, but by just squeezing them. This video is connected to the paper "Neuro-Robotic Haptic Object Classification by Active Exploration...
Knowledge Technology has got a new logo! Thanks to all students and staff involved!