LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Characterizing causal interactions between various brain regions and external factors (genetic, sociological, and environmental influences) is fundamental to establishing the neural basis for various ...

Research areas: Statistics, Machine learning, Bayesian nonparametric models, Fairness in machine learning and statistics, Reinforcement learning, Causal Inference, Conformal Inference. Bayesian ...

Overview AI and big data posted the sharpest jump on WEF's 2025 skills ranking, up 17 percentage points in two years, while ...

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Abstract: Deep learning technology provides a promising approach for rotary machine fault diagnosis (RMFD), where vibration signals are commonly utilized as input of a deep network model to reveal the ...

Millions of people type personal details, medical questions, and financial concerns into ChatGPT every day, and unless they ...

The K&L Gates Presidential Fellowship supports up to three doctoral students every year whose studies relate to the field of ethics and computational science and technology; their work often asks how ...

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...