For 20 years, this computational linguistics competition has inspired new generations of innovators in AI and language ...
This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...
A team led by Professor Daniel Abrams and PhD graduate Emma Zajdela (PhD ’23) created—and mined—the most comprehensive ...
Efficient Large Displacement/Large Rotation Dynamic Simulations Using Nonlinear Dynamic Substructures Utilizing reduced-order ...
Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across the entire tree of life, Evo 2 can identify patterns in gene sequences across ...
Abstract: The online solution of the optimization problems associated to the model predictive control (MPC) of constrained systems requires significant computational efforts. The Hindmarsh-Rose (HR) ...
mcp-agent's vision is that MCP is all you need to build agents, and that simple patterns are more robust than complex architectures for shipping high-quality agents.
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