Credit: CC0 Public Domain An Oregon State University doctoral student and researchers at Adobe have created a new, cost-effective training technique for artificial intelligence systems that aims to make them…
Tag: Computer Sciences
Clear guidelines needed for synthetic data to ensure transparency, accountability and fairness, study says
Credit: Pixabay/CC0 Public Domain Clear guidelines should be established for the generation and processing of synthetic data to ensure transparency, accountability and fairness, a new study says. Synthetic data—generated through…
Large language models generate biased content, warn researchers
Credit: AI-generated image A new report led by researchers from UCL finds that the most popular artificial intelligence (AI) tools discriminate against women and people of different cultures and sexualities.…
An efficient dynamic erasure coding method for permissioned blockchain systems
The overhead of Dynamic-EC. Credit: Mizhipeng Zhang, Chentao Wu, Jie Li, Minyi Guo Research led by Minyi Guo, published in Frontiers of Computer Science, addresses the challenge of reducing storage…
Cutting-edge simulations for Industry 4.0
Wolfgang Maaß (left), doctoral research student Hannah Stein and researcher Ankit Agrawal (right) are working with partners from industry and academia to harness the power of quantum computational methods for…
The quantum computer doesn’t exist yet, but we are better understanding what problems it can solve
Credit: Pixabay/CC0 Public Domain How do we know what a quantum computer is good for when it hasn’t been built yet? That’s what Ph.D. candidate Casper Gyurik investigated by combining…
Simultaneous performance improvement and energy savings with an innovative algorithm for 6G vision services
Credit: Pixabay/CC0 Public Domain Professor Jeongho Kwak’s from the Department of Electrical Engineering and Computer Science at DGIST has developed a learning model and resource optimization technology that combines accuracy…
New survey on deep learning solutions for cellular traffic prediction
Taxonomy of key deep learning techniques for cellular traffic prediction showing methods for temporal and spatial-temporal prediction. Credit: Xing Wang et al. The bustling streets of a modern city are…
