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 ...

Human DNA contains roughly 3 billion letters of genetic code. However, we understand only a fraction of what this vast ...

AI is helping farmers automate weed control and create custom tools as they navigate industry challenges and sustainability goals.

Nvidia’s latest update to its AI-powered upscaling technology, DLSS 4, has officially moved out of beta with the release of a ...

The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...

The TinyML Foundation’s work, along with that of Silicon Labs, helps users explore new use-cases and challenges that embedded ...

A new study shows AI can detect Parkinson’s disease with 94.4% accuracy by analyzing volatile organic compounds in earwax ...

While AI-powered identity verification can improve security and usability, these tools also pose concerns about privacy and user experience.

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

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, with only 0.172% of the transactions being fraudulent. To mitigate this, ...

Tomra Mining launched CONTAIN, a deep learning technology designed to improve the recovery of inclusion-type ores that ...

Deep learning technology designed to enhance the recovery of inclusion-type ores that are difficult to detect using ...