We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

Google evaluated Gemini Deep Research’s capabilities using two benchmarks called HLE and DeepSearchQA. According to the ...

Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the ...

New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia ...

We get to see a little more of how Waymo has structured their AI as they get to do the land rush alone in the USA.

Decreasing Precision with layer Capacity trains deep neural networks with layer-wise shrinking precision, cutting cost by up to 44% and boosting accuracy by up to 0.68% ...

The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...