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393 papers
This note is a technical companion to a previously published preprint describing an Attention Residual U-Net that postprocesses deterministic forecasts from The Weather Company's Global and Regional Atmospheric Forecast (GRAF) model into probabilistic hourly precipitation forecasts. It documents what has changed in tha...
The two-dimensional sphere embedded in three-dimensional Euclidean space S2, plays a central role in a variety of scientific and engineering domains, including geophysics, planetary science, geodesy, atmospheric physics, quantum chemistry, cosmology, and virtual reality, among many others. As machine learning increasin...
As deep learning for physical systems continues to grow in popularity, efforts to improve generalizability have primarily focused on designing architectures that embed physical constraints. However, for machine-learning surrogate climate models (emulators), we show that the low structural diversity in existing scenario...
Cloud robotics is an innovative field that leverages cloud technologies-including cloud computing (CC), cloud storage, deep learning, big data, and the Internet of Things to augment the capabilities of robotics. This integration facilitates the execution of robotic functions through a converged infrastructure and share...
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This study develops a rule-based parts of speech tagging tool specifically for those people who want to learn or research on Bengali grammar and proposes and endeavor to implement this tool with an intent to achieve higher accuracy by optimizing memory overhead.
Interstellar communication is not merely slow. It is strategically stale. A message received across distance reports a sender that may no longer occupy the same strategic state, while replies and irreversible actions are chosen on different local clocks. This paper develops a delayed Bayesian interaction game in which...
Interstellar communication is not merely slow. It is strategically stale. A message received across distance reports a sender that may no longer occupy the same strategic state, while replies and irreversible actions are chosen on different local clocks. This paper develops a delayed Bayesian interaction game in which...
The Dark Forest hypothesis is usually presented as a general consequence of uncertainty, technological asymmetry and catastrophic vulnerability. This paper asks a narrower question: under which combinations of beliefs, capabilities, signalling conditions and network incentives does a Dark Forest actually emerge? A Dark...
Interstellar game models normally allow strategies to change while holding fixed the players, technologies, preferences, feasible actions and payoff structure. This assumption is least credible for advanced civilisations operating across long technological and evolutionary horizons. This paper develops an Endogenous Ga...
Interstellar game models normally allow strategies to change while holding fixed the players, technologies, preferences, feasible actions and payoff structure. This assumption is least credible for advanced civilisations operating across long technological and evolutionary horizons. This paper develops an Endogenous Ga...
Interstellar game models normally allow strategies to change while holding fixed the players, technologies, preferences, feasible actions and payoff structure. This assumption is least credible for advanced civilisations operating across long technological and evolutionary horizons. This paper develops an Endogenous Ga...
Health & Bioscience
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
General Science
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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