Physics-trained AI models are accelerating engineering simulations by replacing or supplementing traditional solvers, enabling rapid design iteration in industries like automotive and aerospace. These ...

Recent studies show AI, machine learning, and advanced simulation are converging to address persistent flow assurance issues in oil, gas, and low-carbon energy transport. Research highlights hybrid ...

The TEGNet emulator accelerates thermoelectric generator design, achieving 99% accuracy while cutting computation time to a ...

Target identification is a critical and challenging step in drug discovery, with only a small fraction of human genes ...

Graph theory and computational modeling reveal that neural network architecture biases the male Caenorhabditis elegans brain toward prioritized sexual behaviors.

AI for Scientific Management" emphasizes prescriptive intelligence—using AI to autonomously optimize organizational systems and bridge the gap between AI theory and management practice. We invite high ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Computational neuroscience has traditionally focused on isolated scales, limiting understanding of brain function across multiple levels. While microscopic models capture biophysical details of ...

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...