Future OCR table recognition systems will also have adaptive learning capabilities, enabling them to automatically adjust recognition models based on user feedback and changes in ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Traditional keyword searches often struggle to accurately match technological content, while AI semantic search can understand the meaning of the search text, allowing for more precise identification ...

[Asia Economy Honam Reporting Headquarters Reporter Lee Gwan-woo] Gwangju Institute of Science and Technology (GIST) ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

In this important study, the authors model reinforcement-learning experiments using a recurrent neural network. The work examines if the detailed credit assignment necessary for back-propagation ...

The second core update of the 2025 year, the June 2025 core update, is now done rolling out and complete. It started on the last day of June, June 30, 2025 and completed about 16 days and 18 hours ...

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...