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 ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

Until D-Wave starts manufacturing its quantum computing systems at a large scale for commercial clients, its stock is trading ...

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

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

Accurate temperature control is particularly essential in the battery industry, especially during the processes of coating ...

Scientists have unveiled a new way to capture ultra-sharp optical images without lenses or painstaking alignment. The ...

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

Research from AIVO Standard shows that AI models are inconsistent and unreliable in answering questions about a company's ...

Training gets the hype, but inferencing is where AI actually works — and the choices you make there can make or break ...

Design of Experiments (DoE) offers market opportunities across various sectors by enabling efficient, informed decision-making through structured variable analysis. It benefits scientists, engineers, ...