A new framework, AgriRegion, leverages the power of curated local knowledge to dramatically improve the accuracy and relevance of answers to agricultural questions.
A new technique empowers image generation models to learn from each other within a batch, leading to significant improvements in quality and detail.
Researchers have devised a new defense mechanism that binds a neural network to specific hardware, effectively neutralizing stolen models and bolstering security against adversarial attacks.
Researchers have developed a novel graph neural network that overcomes limitations of traditional methods to achieve improved performance in graph classification tasks.
A new approach leverages the power of graph neural networks and data augmentation within a Transformer architecture to predict how to synthesize complex molecules.
New research shows that analyzing the connections between users and content can significantly boost the accuracy of fake news detection systems.
A new decentralized marketplace aims to unlock the power of shared data while safeguarding privacy and incentivizing participation.
Attackers are increasingly leveraging the hype around generative AI to disguise harmful browser extensions as legitimate tools.
A new analysis argues that large language models don’t reason so much as statistically predict the most plausible continuation of a given prompt.
A new study systematically investigates the potential of reinforcement learning to overcome key challenges in generating high-quality 3D models from text prompts.