Chatbots and large language models can execute a seemingly countless number of tasks, from writing emails and reports to generating code and analyzing data. However, they still primarily act only in response to user prompts and rely on their own predictive models to generate text.

McGill University researchers have developed a more energy-efficient method of building AI systems that are better at measuring—and indicating—their own uncertainty. This will help users determine when human oversight is needed, when additional data should be collected and when a model is being asked to work beyond the conditions it was trained for, the researchers said.

Animated "virtual agents" could help keep the roads of the future safer by alerting people behind the wheel of semiautonomous cars to oncoming hazards, new research suggests.

Imagine finding a very old family photograph that has faded over time. Parts of the image are missing, the faces are blurry, and years spent inside a cardboard album have erased many details. Restoring such an image traditionally would require painstaking manual work or specialized software trained on thousands of examples.

An AI model inspired by ants, bees and birds could be key to cracking down on blockchain-based money laundering, new research led by Charles Darwin University (CDU) has found. The study is published in the journal Communications in Computer and Information Science.