Properties
Artificial Intelligence
Recent machine-learning application to assist researchers predict chemical properties
One in every of the shared, fundamental goals of most chemistry researchers...
Artificial Intelligence
Robotic probe quickly measures key properties of latest materials
Scientists are striving to find latest semiconductor materials that might boost the...
Artificial Intelligence
A Sanity Check on ‘Emergent Properties’ in Large Language Models
LLMs are sometimes said to have ‘emergent properties’. But what can we even mean by that, and what evidence do we've got?12 min read·Jul 15, 2024One among the often-repeated claims about Large Language Models...
Artificial Intelligence
AI method radically speeds predictions of materials’ thermal properties
It's estimated that about 70 percent of the energy generated worldwide finally...
Artificial Intelligence
Controlled diffusion model can change material properties in images
Researchers from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and...
Artificial Intelligence
Learning the language of molecules to predict their properties
Discovering recent materials and medicines typically involves a manual, trial-and-error process that...
Artificial Intelligence
Empowering Efficient BO Transfer with Neural Acquisition Process (NAP) General Objectives & Results: From Bayesian Optimisation to Meta-Bayesian Optimisation: Neural Acquisition Processes (NAP): Cool Properties:
Our primary objective is to reinforce the effectiveness of Bayesian Optimisation (BO) by leveraging meta-learning to transfer knowledge across different problem domains, thereby significantly improving sample efficiency.In pursuit of this goal, we introduce the...
Artificial Intelligence
Empowering Efficient BO Transfer with Neural Acquisition Process (NAP) General Objectives & Results: From Bayesian Optimisation to Meta-Bayesian Optimisation: Neural Acquisition Processes (NAP): Cool Properties:
Our primary objective is to boost the effectiveness of Bayesian Optimisation (BO) by leveraging meta-learning to transfer knowledge across different problem domains, thereby significantly improving sample efficiency.In pursuit of this goal, we introduce the...
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