“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

From the war in Ukraine to climate extremes, Europe’s energy future depends on more than new infrastructure: it needs smarter ...

Averages can summarize, but uncertainty explains. By giving uncertainty a language people can share, across teams, tools, and even AI systems, Savage's work creates space for clearer planning and more ...

Google’s Veo video AI made stunning leaps in fidelity in 2025, and Google isn’t stopping in 2026. The company has announced ...

Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...

McGill engineering researchers have introduced an open-source model that makes it easier for experts and non-experts alike to ...

Researchers reconstruct the spatial spread of pandemic respiratory viruses across metropolitan areas throughout the United ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...

How modern mathematics helps policymakers and insurers connect the dots of the country’s fragmented demographic data ...

Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...