Explore why the Efficient Market Hypothesis is flawed and what active manager underperformance really reveals.

Traditional data centers can’t keep pace with the demands of modern AI. From GPUs and liquid cooling to specialized storage, ...

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

Rice computer scientists have developed algorithms that account for quantum noise that is not just random, but malicious ...

The Machine Learning for Fundamental Physics (ML4FP) School will be hosted at the Lawrence Berkeley National Laboratory. All talks and tutorials will be given in person, and participants can register ...

The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

ABSTRACT: Machine learning (ML) has revolutionized risk management by enabling organizations to make data-driven decisions with higher accuracy and speed. However, as machine learning models grow more ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Secondary batteries, fuel cells, and electrolytic cells have ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Quantum cryptography has emerged as a radical research field aimed at mitigating various security threats in modern communication systems. The integration of Quantum Machine Learning (QML) protocols ...

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