Announced during Colleges Week, our inquiry will put adult education in the spotlight and explore five key areas: economic growth, skills and workforce needs, social mobility and inclusion, health, ...

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...

Transforming a nation of 1.4 billion people into the world's leading R&D hub is a monumental task. But by liberating the minds of the next generation of Indian scientists at 11, 12, and 13 years old, ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Chemical toxicity evaluation is vital in the medical, industrial, and agricultural sectors to ensure rigorous safety testing and to prevent harmful ...

Abstract: Multi-task learning (MTL) is a standard learning paradigm in machine learning. The central idea of MTL is to capture the shared knowledge among multiple tasks for mitigating the problem of ...

The modern era has witnessed a surge in the use of artificial intelligence (AI) and machine learning (ML) to support a range of education-related tasks. These include predicting student learning ...

Abstract: Multi-task representation learning is an emerging machine learning paradigm that integrates data from multiple sources, harnessing task similarities to enhance overall model performance. The ...

Figure 1. Comparison of attention maps and the proposed VL similarity map for visualizing VL alignment. (a) While traditional attention maps inevitably exhibit high values at certain points due to ...

Energy and Environment Science & Technology, Idaho National Laboratory, Idaho Falls, Idaho 83415, United States ...