Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Abstract: Infrared small target detection (IRSTD) is challenging due to low target-background contrast and small target size, leading to missed detections and false alarms (Fas). To address these ...

Abstract: The classification and identification of material types from Scanning Electron Microscopy (SEM) images remain critical tasks in material science are often limited by the subjectivity and ...

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS As the demand for artificial intelligence (AI) computing continues to rise, traditional electronic processors ...

Demand for adeno-associated viral (AAV) vectors is increasing as more and more cell and gene therapy firms use them to make products. In response, vector suppliers are embracing faster, more efficient ...

Several Pixel users are reporting discrepancies between their camera viewfinder previews and the final processed photos. Most of the complaints focus on over-processed images with inaccurate color ...

There’s a new Google AI model in town, and it can generate or edit images as easily as it can create text—as part of its chatbot conversation. The results aren’t perfect, but it’s quite possible ...

Timescale is looking to further advance its namesake open-source database platform with new AI capabilities announced today. Timescale was founded in 2017 as a time series database (TSDB) technology ...

The Adobe Firefly Video Model (beta) expands Adobe's family of creative generative AI models and is the first publicly available video model designed to be safe for commercial use Enhancements to ...

Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.