Compared to standard neural network training techniques that are based on mathematical backpropagation, evolutionary training allows more complex neural architectures.
- By Pure AI Editors
- 12/19/2022
Efficient tuning techniques for large machine learning models can produce significant time and cost savings.
- By Pure AI Editors
- 11/01/2022
Transformer architecture (TA) is designed to handle long sequences of words, such as a paragraph of text.
- By Pure AI Editors
- 10/03/2022
The new technique is based on deep neural transformer architecture (TA), originally intended for natural language processing but successfully adapted for other problem scenarios.
- By Pure AI Editors
- 08/02/2022
Researchers at Google have demonstrated a "quite remarkable" new technique that generates photo-realistic images from arbitrary text.
- By Pure AI Editors
- 06/01/2022
This and other research seems to be making good progress toward our ability to detect and defend against malicious attacks on computer systems.
- By Pure AI Editors
- 05/03/2022
It can train huge neural networks in a fraction of the time and cost required for standard training techniques.
- By Pure AI Editors
- 04/04/2022
"Slot machine and quantum annealing training techniques might be useful in scenarios where neural networks must be retrained frequently and in scenarios where training must occur on devices with limited processing power, such as mobile phones," says Microsoft AI scientist engineer.
- By Pure AI Editors
- 02/01/2022
Quantum-inspired optimization starts with a standard algorithm, such as particle swarm optimization or simulated annealing, and modifies the algorithm by using one of many ideas adapted from physics quantum behavior.
- By Pure AI Editors
- 12/01/2021
Differential privacy consists of a set of techniques designed to prevent the leakage of sensitive data.
- By Pure AI Editors
- 11/08/2021