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

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The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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

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

In the life sciences and healthcare industries, the speed of innovation impacts how soon new products, medications and ...

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations ...

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, ...

In the field of modern agricultural machinery, pneumatic conveying seed-discharge systems have been widely adopted due to ...

The modern enterprise software landscape demands professionals who can seamlessly navigate the complexities of full-stack ...