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IA

Cosmology to the Extreme: Artificial Intelligence for Mapping the Universe on a Large Scale

What if the laws of physics as we know them were wrong? Not in some minor detail, but in something fundamental. That is one of the two possible conclusions that emerge from the most recent data on the large-scale universe …

Safety

Adversarial Robustness: How difficult is it to break a language model?

Large language models have become everyday tools: they assist in writing texts, support medical diagnoses, generate code, and answer complex questions in seconds …

Technology

When Mistakes Don’t Matter: Rethinking How We Train Decision-Making Models

The standard way to evaluate predictive models is dominated by a simple idea: if prediction error decreases, the model is better. Metrics such as MSE or accuracy have become the standard in most industrial pipelines …

Technology

Beyond the Average: Quantile Regression and Stepwise Policies

Suppose a government implements a new health policy aimed at reducing avoidable hospitalizations. A traditional evaluation might tell us that, on average, hospitalizations fall by 10%…

Neural Networks

Neural Networks for Optimization in Treasury Auctions

Which auction format—uniform-price or discriminatory—is more suitable for reducing the government’s financing cost?…

AI Governance

Beyond Automation: Why We Need New Metrics to Understand the Future of Work with AI

In recent years, the conversation about artificial intelligence and employment has been dominated by a substitution narrative: Which jobs will disappear? How many jobs will be replaced by algorithms? While this question is important, it has led us to view the future of work from a narrow perspective…