Results 261 to 270 of about 1,579,753 (313)

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source
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Deep Learning of Potential Outcomes.

CoRR, 2021
This review systematizes the emerging literature for causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction on how deep learning can be used to estimate/predict heterogeneous treatment effects and extend causal inference to settings where confounding is non-linear, time varying, or ...
JIANG, SONG   +5 more
openaire   +3 more sources

Validity of the Estimated Learning Potential and other Measures of Learning Potential

Perceptual and Motor Skills, 1990
The validity of the Estimated Learning Potential from the System of Multicultural Pluralistic Assessment was estimated using other measures of learning potential as criteria. In addition, correlations of traditional IQs with the learning potential measures were examined.
R L, Taylor, S B, Richards
openaire   +3 more sources

ON THE LEARNING POTENTIAL OF THE APPROXIMATED QUANTRON

International Journal of Neural Systems, 2012
The quantron is a hybrid neuron model related to perceptrons and spiking neurons. The activation of the quantron is determined by the maximum of a sum of input signals, which is difficult to use in classical learning algorithms. Thus, training the quantron to solve classification problems requires heuristic methods such as direct search. In this paper,
Richard Labib, Simon de Montigny
openaire   +3 more sources

The learning potential of the workplace

2008
In our research programme “The Learning Potential of the Workplace” we set the task to analyse, describe and explain the conditions of the workplace as a tool for learning. Learning potential is for some experts an individual asset, others see the learning potential in the external conditions in work and work processes; again others see it in the ...
Nijhof, Wim J., Nieuwenhuis, Loek F.M.
openaire   +4 more sources

Mobile learning challenges and potentials

International Journal of Mobile Learning and Organisation, 2007
The transition to an information society and the therewith strongly related need of lifelong and life-wide learning on the one hand, and the increasing coverage of and developments in mobile information and communication technology on the other hand establish the foundation of mobile learning.
Michaela Denk   +2 more
openaire   +1 more source

Learning continuous potentials from smFRET

Biophysical Journal, 2022
ABSTRACT Potential energy landscapes are useful models in describing events such as protein folding and binding. While single molecule fluorescence resonance energy transfer (smFRET) experiments encode information on continuous potentials for the system probed, including rarely visited barriers between putative potential minima, this ...
J. Shepard Bryan, Steve Pressé
openaire   +2 more sources

The psychological assessment of learning potential

British Journal of Educational Psychology, 2001
Background. The paper considers the construct of learning potential (or dynamic assessment) and its use in the psychoeducational assessment of children with learning difficulties. Aims. The principal research aim was to examine the extent to which learning potential (dynamic) assessment can predict which children with severe learning difficulties will ...
Lauchlan, Fraser, Elliot, J.
openaire   +4 more sources

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