AI’s Growing Footprint in Scientific Discovery

A new analysis reveals the accelerating integration of powerful AI models into the research process, but also exposes critical gaps in tracking their impact.

A new analysis reveals the accelerating integration of powerful AI models into the research process, but also exposes critical gaps in tracking their impact.

Researchers have demonstrated that magnetically controlled soft robots can harness unpredictable, chaotic movements for both secure random number generation and advanced computing applications.
A new framework leverages the power of artificial intelligence to dynamically analyze research landscapes and extract insights from full-text data.

A new framework streamlines web automation by intelligently reducing the amount of webpage data agents need to process, leading to faster and more accurate results.

Researchers have developed a new framework that allows for the generation of singing voices with non-human characteristics, opening possibilities for creative vocal expression and unique audio experiences.
Researchers have created the first publicly available speech corpus for the Isan language, a vital step toward building speech recognition technology for this underrepresented Thai dialect.

A new deep learning approach tackles the complexities of identifying antinuclear antibodies in microscopy images, paving the way for more accurate and efficient autoimmune disease diagnostics.

New research demonstrates a computationally efficient method for pinpointing the most promising genes from complex biological datasets, even with limited labeled information.

A new system leverages AI conversations to build personalized learning paths and foster long-term knowledge retention.

Researchers are leveraging the power of large language models to enable more effective decision-making for artificial intelligence agents operating in dynamic, real-world environments.