The pitch for humanoid robots is that their body looks like ours, so they should be able to do what we do, move through spaces built for people, use tools made for our hands, and pick up new skills by…
BeyondMimic: The 1st Revolutionary Way Guided Diffusion Controls Humanoids Read More »
You decide you want a hammer. Within a second your mind has sketched a rough plan. Walk to the garage, open the third drawer, and if it is not there, check the shed. You did not search over every possible…
Brain Inspired Planning With Cognitive Maps and Sampling Read More »
More and more people are bringing their troubles to a chatbot instead of a friend. Many come away feeling genuinely heard. Not everyone does, and the stakes of getting it wrong in an emotional conversation run high, from unhelpful advice…
Can LLMs Reliably Judge Empathic Communication Read More »
AlphaFold changed biology by cracking a puzzle that had resisted everyone for fifty years. Hand it a protein’s sequence and it tells you the shape that sequence folds into. The answer it gives is a single, crisp structure, and that…
Mac-Diff: A Diffusion Model for Diverse Protein Conformations Read More »
Graph neural networks look deceptively sturdy on paper. Stack a few convolution layers, pool the node embeddings, feed the result to a classifier, and you get strong numbers on clean benchmark data. The trouble starts once the input graph stops…
HPGRL: How Hierarchical Prototypes Make Graph Classification Resist Noise Read More »
A materials scientist sits down with a fresh stack of papers and already knows the stack is a rounding error. The field now publishes more abstracts in a year than any one person could read in a decade of weekends.…
How LLMs and Concept Graphs Predict New Materials Research Read More »
An oncologist wants to know how a patient tumour will spread over the coming months, and how the nutrients feeding it will move as it grows. The honest answer today involves a supercomputer and a long wait. Simulating how a…
A Neural Operator That Solves Free Boundary Problems Read More »
For half a century, simulating how atoms move has followed the same ritual. Work out the force on every atom, nudge each one a tiny step, then do it again, and again, millions of times over, with each step covering…
Force Free Molecular Dynamics With Equivariant Networks Read More »
A synchrotron beamline is a strange place to spend a Tuesday at three in the morning. Beam time is precious, booked months ahead, and the clock does not stop for a tired researcher nudging motors a fraction of a degree…
An Agentic AI That Operates a Synchrotron Beamline Read More »
Ask a generative model to dream up a new crystal and it will usually hand you something that looks a lot like what it already knows. That is not a flaw. It was trained to reproduce the patterns in its…
Reinforcement Learning Guides Diffusion to New Crystals Read More »