As rare disease trials face persistent feasibility challenges, Bayesian designs are gaining momentum by enabling more ...
Dr Heaps is a Bayesian statistician specialising in time-series and latent variable models. Former Assistant Co‑Director of the EPSRC CDT in Cloud Computing for Big Data, she leads major grants and ...
Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces into which many will eventually be put to work. The company argues that a ...
Probability underpins AI, cryptography and statistics. However, as the philosopher Bertrand Russell said, “Probability is the most important concept in modern science, especially as nobody has the ...
Good morning everyone, and thank you for joining us today for our webcast announcing U.S. Global Investors results for the second quarter of 2026. On the next slide, I'd like to Introduce the ...
This study provides important insights into how working memory shapes perceptual decisions, using a dual-task design, continuous mouse tracking, and hierarchical Bayesian modeling. By dissociating ...
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Mixing generative AI with physics to create personal items that work in the real world
Ever had an idea for something that looked cool, but wouldn't work well in practice? When it comes to designing things like ...
Emerging practitioners are using AI not to replace human understanding, but to deepen it. They are developing new tools to ...
Why do we seek certainty in our lives? Why do we sometimes not want certainty? This post explains how certainty is part of affect, the evaluative common currency of the mind.
We’ve blown past the Turing test, but "indistinguishable" isn’t "equivalent." Psychology must continue to learn from people, ...
Positive economics is a fact-based analysis of what is occurring in an economy, without making prescriptions of what should or should not be happening.
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