This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

As Missouri becomes the latest state to ban the sale of Callery pear trees, researchers at MU are using artificial ...

Peter Thomas Keaveney caught up with Cavan business O’Reilly plant hire to find out how their Farmi Forest CH38 tractor ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Choosing the right generative AI architecture is crucial for professional problem-solving applications. Generalist models ...

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking.

This model jointly improves data diversity and the effective utilization of clinically significant discriminative information. Specifically, first, a texture diverse augmentation scheme is designed ...

KAIST (President Kwang Hyung Lee) announced on the 20th that a research team led by Professor Sungjin Ahn in the School of Computing has developed a new technology that significantly improves the ...