Using machine learning and math, a BYU student improved a key tool firefighters rely on during wildfire season ...

Using machine learning and math, a Brigham Young University student improved a key tool firefighters rely on during wildfire ...

New research shows that the human brain automatically recognizes what actions an environment affords—like walking, climbing, or swimming—even without conscious thought.

Brigham Young University graduate Jane Housley's research could help make a widely used wildfire modeling tool faster and ...

This letter investigates the universal approximation capabilities of Hamiltonian Deep Neural Networks (HDNNs) that arise from the discretization of Hamiltonian Neural Ordinary Differential Equations.

The new study, titled "The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity," comes from a team at Apple led by Parshin Shojaee ...

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

Quantum computer speed isn’t just about GHz; it involves how many qubits are working and how well they perform. Quantum ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...