The Monte Carlo method is a mathematical algorithm that can be used to calculate probability based on repeated random ...

We adopt the least squares Monte Carlo (LSMC) method to price time-capped American options. The cap can be an independent random variable or dependent on the asset price at a random time. We ...

How the evolution from LLMs to LRMs with agentic technology leveraging compositionality will transform banking. Shanker ...

Microsoft enhances the capabilities of small language models (SLMs) with rStar-Math. The technique boosts the capabilities of ...

Nuclear fission is the most reliable source of antineutrinos, but they are difficult to characterize. A recent study suggests ...

Where to pick up the must-have memorabilia—ranging from Grand Prix collectibles to handcrafted local spirits—to forever ...

These performance benchmarks highlight the potential of self-improving systems to redefine the landscape of AI research. By ...

Phi-4 and an rStar-Math paper suggest that compact, specialized models can provide powerful alternatives to the industry’s largest systems.

Achilles tendon injuries are common but challenging to monitor during recovery due to the limitations of current imaging techniques. Researchers, led by Associate Professor Zeng Nan from the ...

Employing simulation data derived from IEEE testing systems, it is verified through the Monte Carlo method that the MoK-FoBS method can estimate hard boundaries that invariably contain the true state ...

On January 11, 2025, a team of researchers from the University of Manchester and the University of Leeds, along with other ...

Nuclear fission is the most reliable source of antineutrinos, but they are difficult to characterise. A new study suggests ...