AMD has presented new research called PEPS, or Positional Encoding Projected Sampling, which aims to improve neural texture ...

Emerging wireless demands are reshaping how next-generation networks are built, from spectrum strategy to intelligent signal ...

Abstract: In underwater environments, the absorption and scattering of light often result in various types of degradation in captured images, including color cast, low contrast, low brightness, and ...

By combining native vision, audio, and reasoning in a compact model, Gemma provides a compelling platform for local AI agents ...

Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

Abstract: Coronary calcification is a strong indicator of coronary artery disease and a key determinant of the outcome of percutaneous coronary intervention. We propose a fully automated method to ...

Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...

MT-DNN, an open-source natural language understanding (NLU) toolkit that makes it easy for researchers and developers to train customized deep learning models. Built upon PyTorch and Transformers, ...

Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...

Working with concurrent electroencephalogram and functional magnetic resonance imaging technology at the Beckman Institute's ...

Neural networks, a fascinating technology inspired by the human brain, form the basis of artificial intelligence. These ...

Outpost Bio leverages machine learning to develop models that can identify interactions among stool microbes to improve drug development.