Tag: Machine learning & AI
New machine learning method predicts future data patterns to optimize data storage
Credit: CC0 Public Domain Researchers have developed a new machine-learning technique that helps computer systems predict future data patterns and optimize how information gets stored. They found these predictions could…
An integrated shuffler optimizes the privacy of personal genomic data used for machine learning
KAUST researchers developed a machine-learning approach aimed at preserving privacy while analyzing omics data for medical research. Credit: 2024 KAUST; Heno Hwang By integrating an ensemble of privacy-preserving algorithms, a…
Aim policies at hardware to ensure AI safety, say experts
Credit: Pixabay/CC0 Public Domain A global registry tracking the flow of chips destined for AI supercomputers is one of the policy options highlighted by a major new report calling for…
Four ways AI could help to respond to climate change—despite how much energy it uses
Credit: AI-generated image Advanced AI systems are coming under increasing criticism for how much energy they use. But it’s important to remember that AI could also contribute in various ways…
AI giants to unveil pact to fight political deepfakes
Credit: Unsplash/CC0 Public Domain Tech giants including Meta, Microsoft, Google and OpenAI are working on a pact to jointly crack down on AI content intended to deceive voters ahead of…
There is no proof that AI can be controlled, researcher warns
Credit: Unsplash/CC0 Public Domain There is no current evidence that AI can be controlled safely, according to an extensive review, and without proof that AI can be controlled, it should…
How to spot a deepfake
Created by our researchers using Midjourney, these diffusion model deepfakes illustrate the increasing realism and sophistication of the technology. Credit: CSIRO In a world where you can create a virtual…
First in-depth survey on the topic of deep transfer learning for intelligent vehicle perception
Illustration of challenges and applications of intelligent vehicle perception. Transfer learning (TL) methods can be applied to reduce the domain gaps by sensor difference, data difference, and model difference. Credit:…
