USC and UCLA researchers have created a wireless device that uses AI to decode pain levels from brain activity and customize ...

CSIRO's quantum-enhanced AI model boosts chip design accuracy using only 5 qubits, outperforming classical methods in ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Epilepsy is the unstable state caused by excessive discharge of brain cells. In more than 30 percent of epilepsy cases, seizures cannot be controlled with medication or surgery. Refractory epilepsy ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

However, as spotted by Videocardz, the latest DLSS SDK 310.3.0 (software development kit) on GitHub highlights the fact that it's now out of beta. That doesn't mean Nvidia has stopped improving the ...

This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data from the ...

🧠 Built using Convolutional Neural Networks (CNN) 🖼️ Image-based prediction (100x100 facial images) 🌐 Supports country classification: India, USA, Nigeria, China 🧪 Command-line prediction script ...

python machine-learning deep-neural-networks deep-learning numpy sklearn pandas image-classification matplotlib convolutional-neural-networks data-preprocessing opencv-python cnn-model ...