Mathematical optimization offers today’s businesses a fundamentally different approach to worst-case scenario prepping. Rather than relying on gut instinct and static data, optimization leverages ...

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

As retail AI spreads beyond pilots, leaders are learning that better forecasts are not enough. Trust and judgment define what ...

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: ...

From Braintree to Project Blueprint, Bryan Johnson views crypto and longevity as a unified war against systemic decay.

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

At an Oracle roundtable during TechSparks 2025, CTOs and tech leaders moved beyond the AI hype to confront harder truths ...

Automation has scaled search marketing, but it’s also created an insight gap. Learn how marketing leaders can restore ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Donald Trump’s destruction of the civil service is a tragedy not just for the roughly 300,000 workers who have been discarded ...