By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...
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: ...
They are effectively wagering that addressing specific optimization challenges today holds more value than the promise of ...
FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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 ...
2hon MSN
How has the Measurement of Advertising Effectiveness Redefined Using New Econometric Approaches?
Shruti Dash from India, as a Consultant and Data Scientist at Amazon Ads, connects corporate standards and new frameworks ...
Muskan Fnu receives a 2025 Global Recognition Award for measurable gains in telecom customer experience and operations, ...
In the life sciences and healthcare industries, the speed of innovation impacts how soon new products, medications and ...
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 ...
In the field of modern agricultural machinery, pneumatic conveying seed-discharge systems have been widely adopted due to ...
Quantum computing promises extraordinary power, but that same power may expose new security weaknesses. Quantum computers are expected to deliver dramatic gains in processing speed and capability, ...
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