Can one AI system meaningfully improve another without going back to expensive retraining runs? In other words, can our ...

Knowing the correct phase connectivity information plays a significant role in maintaining high-quality power and reliable electricity supply to end-consumers. However, managing the consumer-phase ...

Agnes is actively fundraising at a valuation exceeding USD 100 million, with expansion plans targeting Indonesia, India, the ...

Leveraging LLMs to Integrate Expert Knowledge into Algorithmic Planning,” presented at the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026), introduces a hybrid ...

Cheng, R. , Liu, J. , Hao, L. and Wu, D. (2026) On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics. Open Journal of Social Sciences, 14, 378-389. doi: ...

Adult learning in the United States continues to evolve as colleges, universities, and professional programs adapt to the ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

Quantum computers could revolutionize everything from drug discovery to business analytics—but their incredible power also ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

The electricity sector faces a timing problem that’s becoming impossible to ignore. Data centers, artificial intelligence (AI ...

INFORMS, the world’s largest association for professionals and students in operations research (O.R.), AI, analytics and data science, has announced six finalists for the 2026 Franz Edelman Award.