Cosmology to the Extreme: Artificial Intelligence for Mapping the Universe on a Large Scale
16/06/2026
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?
01/06/2026
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
27/05/2026
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
01/12/2025
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
06/11/2025
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
20/10/2025
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…
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