More advanced AI chatbots are more likely to oversimplify complex scientific findings based on the way they interpret the data they are trained on, a new study suggests.

Each time we let a machine think for us, natural intelligence quietly pays interest. Four factors matter in making AI more ...

In rigorous tests, Centaur consistently outperformed traditional cognitive models, including Prospect Theory and ...

Automatic modulation recognition (AMR), which distinguishes the modulation type of wireless signals, is crucial for spectrum sensing and signal analysis, providing valuable insights into surrounding ...

Conversations allow humans to communicate their thoughts, feelings and ideas to others. This in turn enables them to learn ...

Centaur, an AI model trained on 10 million decisions, learns to simulate human thinking, even in unfamiliar situations.

To better understand human cognition, scientists trained a large language model on 10 million psychology experiment questions ...

New reasoning models have something interesting and compelling called “chain of thought.” What that means, in a nutshell, is that the engine spits out a line of text attempting to tell the user what ...

The Business Research Company The Business Research Company's Augmented Intelligence Global Market Report 2025 – Market Size, Trends, And F ...

The AI revolution has reached a critical turning point, with 78% of organizations now using AI in at least one business ...

Predictive processing is an influential framework in neuroscience that posits the brain as a prediction machine—constantly generating and updating internal ...

We're also seeing innovations in LLMs, multimodal model, DeepSeek, was a different compute model. Costs are going down, capabilities are going up. Then you have companies like Glean that let you build ...