Long-Term Reflection and Learning . On the surface, Obsidian looked generic to me, like any other app out there, but only using it over a couple of months revealed its underlying ...

Ralph Gootee, CTO and Co-Founder at TigerEye, leads the development of a business simulation platform designed to enhance ...

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

AMD lifts the lid on its latest graphics solutions, from RDNA 4 discrete GPUs to revamped Z2 mobile gaming APUs and its FSR 4 ...

Differentiable numerical framework for effective field theory in quantum many-body systems ... The same type of computational graph has been a cornerstone of the neural-network-based machine learning.

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

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 ...

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 ...

By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning Network Want to learn ...

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 ...