The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...

Artificial intelligence might now be used to address a less visible problem associated with renewable electricity production: ...

The study, titled Artificial Intelligence Methods for Unmanned Aerial Vehicles Cybersecurity: A Comprehensive Survey and ...

From image captioning and neural networks to Tesla Autopilot and OpenAI, Andrej Karpathy has helped shape modern AI research. Here are seven major breakthroughs and contributions that influenced ...

Anthropic’s new hire Andrej Karpathy is known for his work at OpenAI, Tesla and Stanford, with expertise in deep learning, computer vision and generative AI systems.

The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...

AI can predict rainfall intensity better than several widely used forecasting models in tests using historical weather data ...

Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...

Researchers have developed a deep-learning-based surrogate model that dramatically speeds up simulations of nonlinear optical ...

Simulating the nonlinear optical physics that underlies ultrafast laser systems is computationally demanding—a practical bottleneck in settings that require rapid feedback. A study by researchers at ...

This study bridges classical time-series econometrics with modern machine learning by establishing theoretical performance guarantees for recurrent neural networks (RNNs) applied to complex ...