The authority ruled that panels with engineered edges and contours exceed the scope of sheets under Chapter Note 10. This led ...

Public company disclosures of AI-related risks have surged from 12% of S&P 500 firms in 2023 to 72% in 2025, underscoring the urgency for stronger security and governance strategies as AI adoption ...

In a landmark judgment delivered on March 9, 2026, the Calcutta High Court has ruled that graphical user interfaces (GUIs) ...

An expanded module on the Kubro(TM) platform, for an end-to-end, AI-assisted curation of content and production of ...

The UPSTO announced today that it will be extending the Artificial Intelligence Search Automated Pilot Program (ASAP!) until ...

The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.

Abstract: News text classification is crucial for efficient information acquisition and dissemination. While deep learning models, such as BERT and BiGRU, excel in accuracy for text classification, ...

Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...