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In this paper, it is shown, for the first time, that centralized performance is achievable in decentralized learning without sharing the local datasets. Specifically, when clients adopt an empirical risk minimization with relative-entropy regularization (ERM-RER) learning framework and a forward-backward communication between clients is established, it suffices to share the locally obtained Gibbs measures to achieve the same performance as that of a centralized ERM-RER with access to all the datasets. The core idea is that the Gibbs […]

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Two ways to identify the values that matter most for your leadership.

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Retail’s brick-and-mortar resurgence is a lesson in how to reassess assets previously seen as liabilities.

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In this quiz, you’ll test your understanding of the concepts in the video course SQLite and SQLAlchemy in Python: Move Your Data Beyond Flat Files. By working through this quiz, you’ll revisit how Python, SQLite, and SQLAlchemy work together to give your programs reliable data storage. You’ll also check your grasp of primary and foreign keys, SQLAlchemy’s Core and ORM layers, and the many-to-many relationships that tie your data together. [ Improve Your Python With 🐍 Python Tricks […]

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Industrial robot applications require increasingly flexible systems that non-expert users can easily adapt for varying tasks and environments. However, different adaptations benefit from different interaction modalities. We present an interactive framework that enables robot skill adaptation through three complementary modalities: kinesthetic touch for precise spatial corrections, natural language for high-level semantic modifications, and a graphical web interface for visualizing geometric relations and trajectories, inspecting and adjusting parameters, and editing via-points by drag-and-drop. The framework integrates five components: energy-based […]

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We introduce surrogate functionals: machine-learned energy functionals for orbital-free density functional theory (OF-DFT) which are defined not by universal fidelity to a physical reference, but merely by the requirement that density optimization with a fixed procedure yields the true ground-state density. Helpfully, training surrogate functionals requires only ground-state densities, no energies or gradients away from the ground state. We here propose a gradient-descent-improvement loss that guarantees exponential convergence of the density to the ground state, and combine it […]

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The field of AI language models is currently experiencing its fastest rate of development. Scientific breakthroughs that once required multiple years for completion now take only a few months to reach the public. At present, AI communities focus their discussions on Claude Mythos, an upcoming model from Anthropic, which has become a center of interest for developers, researchers, and technologists worldwide. The public first learned about Claude Mythos AI through different platforms, including news articles, online forums, and […]

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