@izakaminska@matthew_pines Not pretending to know very much in all this but questioning your statement that there’s not a better system - potentially Bitcoin offers a solution? Lots of embedded systems in place granted that have everyone’s long term trust. But I wonder…
Your brain's next 5 seconds, predicted by AI
Transformer predicts brain activity patterns 5 seconds into future using just 21 seconds of fMRI data
Achieves 0.997 correlation using modified time-series Transformer architecture
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🧠 Original Problem:
Predicting future brain states from fMRI data remains challenging, especially for patients who can't undergo long scanning sessions. Current methods require extensive scan times and lack accuracy in short-term predictions.
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🔬 Solution in this Paper:
→ The paper introduces a modified time series Transformer with 4 encoder and 4 decoder layers, each containing 8 attention heads
→ The model takes a 30-timepoint window covering 379 brain regions as input and predicts the next brain state
→ Training uses Human Connectome Project data from 1003 healthy adults, with preprocessing including spatial smoothing and bandpass filtering
→ Unlike traditional approaches, this model omits look-ahead masking, simplifying prediction for single future timepoints
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🎯 Key Insights:
→ Temporal dependencies in brain states can be effectively captured using self-attention mechanisms
→ Short input sequences (21.6s) suffice for accurate predictions
→ Error accumulation follows a Markov chain pattern in longer predictions
→ The model preserves functional connectivity patterns matching known brain organization
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📊 Results:
→ Single timepoint prediction achieves MSE of 0.0013
→ Accurate predictions up to 5.04 seconds with correlation >0.85
→ First 7 predicted timepoints maintain high accuracy
→ Outperforms BrainLM with 20-timepoint MSE of 0.26 vs 0.568
Two years ago @elonmusk told us his ‘nutty’ idea to ‘catch the largest and heaviest flying object ever made and pluck it out of the air.’
Looks like it wasn’t so ‘nutty’ after all.
Many people are asking why SpaceX is catching the booster stage like this. Why not land on landing legs like their Falcon 9rocket?
The Starship booster stage has no landing legs. This saves weight and results in faster turnaround time to launch again.