Month: January 2024

The overall structure of FAME-Net. Credit: Zhang Jie Researchers led by Prof. Xie Chengjun and Associate Prof. Zhang Jie at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a novel deep learning-based method for...

Credit: CC0 Public Domain This week, federal Minister for Industry and Science Ed Husic announced the Australian government’s response to the Safe and Responsible AI in Australia consultation. The response addresses feedback from last year’s consultation on artificial intelligence (AI)....

Credit: CC0 Public Domain Concern about generative artificial intelligence technologies seems to be growing almost as fast as the spread of the technologies themselves. These worries are driven by unease about the possible spread of disinformation at a scale never...

During training, only the parameters of the generator are transmitted between the central server and local devices. The discriminators on the local devices update their regularization terms based on the parameters received from the server. Credit: YIYU GUO ET AL....

Credit: Kyushu University/Yamazaki lab Researchers at Kyushu University, in collaboration with Osaka University and the Fine Ceramics Center, have developed a framework that uses machine learning to speed up the discovery of materials for green energy technology. Using the new...

Overview and procedures of our method. A) Method overview. B) Feature extraction from sensor data and construction of a feature vector using a sliding time window. C) Outlier detection with an isolation tree. D) Decision trees are constructed from the...

Example of a jailbreak attack and the team’s proposed system-mode self-reminder. Credit: Nature Machine Intelligence (2023). DOI: 10.1038/s42256-023-00765-8. Large language models (LLMs), deep learning-based models trained to generate, summarize, translate and process written texts, have gained significant attention after the...