Gramian Angular Field (GAF): a transformation that turns time series into textures, enabling models like CNNs and Vision Transformers to read financial data like a heatmap.
GAF encodes the angular cosine similarity between every pair of time points — revealing hidden patterns, transitions, and temporal structure that lags and moving averages simply can’t.
If your signal has:
📊 trend shifts
🔁 cyclic structure
🔥 anomalies or bursts
…GAFs turn it into a form machines can see and classify
GAF encodes the angular cosine similarity between every pair of time points — revealing hidden patterns, transitions, and temporal structure that lags and moving averages simply can’t.
If your signal has:
📊 trend shifts
🔁 cyclic structure
🔥 anomalies or bursts
…GAFs turn it into a form machines can see and classify
💡 Remember Box
https://x.com/Shang_mit/status/1993749446467703214
implement adaptive speculative decoding in mlx swift #todo
Find two distinct ideas from disparate fields and create a novel connection between them. One that most people or no one would have noticed before. Make it truly unique. Have it be rich in detail but also use economy of language and succinct.