u/Simplilearn

Check out the free Google Cloud courses offered by Simplilearn's SkillUp: https://shorturl.at/m1167

TRIBE v2, trained on a unified dataset of over 1,000 hours of fMRI across 720 subjects, predicts activity across 70,000 brain voxels. Meta is calling it the 'digital twin of human neural activity.'

It reliably predicts high-resolution fMRI brain activity, enabling zero-shot predictions for new subjects, languages, and tasks. Zero-shot, meaning it works on people it's never scanned.

The model's predictions are actually cleaner than those from a real fMRI scan, because real scans pick up heartbeats, head movements, and machine noise. The simulation is more accurate than the measurement. Neuroscience just got a public API!

You can explore the demo at https://aidemos.atmeta.com/tribev2

Scientists have developed lab-grown skin made from human cells that can be applied to robots, allowing them to mimic human expressions and even repair minor damage. The bioengineered material is created from living cells and designed to attach to robotic surfaces, giving machines a more lifelike appearance and movement.

In early experiments, the skin has shown the ability to self-heal when damaged and stretch naturally, enabling robots to form expressions such as smiling. Researchers believe this technology could improve human-robot interaction while advancing developments in prosthetics and medical applications.

The breakthrough highlights how biology and engineering are increasingly merging to create more realistic and adaptable machines.