We plan to conduct a new round of testing in 2025. December 2024 A bread machine won’t make the most gorgeous loaves, or produce the kind of glossy, crackly crust you’d get from high heat baking.

Advanced machine learning techniques, especially deep learning methods have greatly enhanced the capabilities of single and multi-modal information ...

Quantum walks, leveraging quantum phenomena such as superposition and entanglement, offer remarkable computational ...

BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for ...

Long-Term Reflection and Learning . On the surface, Obsidian looked generic to me, like any other app out there, but only ...

GraphChem is an open source Python package for constructing graph-based machine learning models with a focus on fuel property prediction. To contribute to GraphChem, make a pull request. Contributions ...

Quantum walks are a powerful theoretical model using quantum effects such as superposition, interference and entanglement to achieve computing power beyond classical methods.

Researchers at IBM Quantum recently showed that simple and more accessible machine learning (ML ... first started experimenting with a complex graph neural network (GNN), which they used to ...

Effective learning isn't just about finding the easiest path—it's about the right kind of challenge. Two prominent theories—Desirable Difficulties (DDF) and Cognitive Load Theory (CLT)—offer ...

Reinforcement Learning (RL) is a class of machine learning algorithms able to ... Adapting Convolutional Neural Networks to Interpret Graph Data In a second NeurIPS publication presented on ...

Machine learning (ML) has demonstrated huge potential to accelerate design and discovery of membrane materials. In this review, we cover strengths and weaknesses of the traditional methods, followed ...