The Financial Express

How Mark Zuckerberg’s brain-to-text AI model promises to outshine Elon Musk’s Neuralink

Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging ...
IEEE

Interpretable Merging-Vehicle Acceleration Prediction via a Decoder-Only Transformer and Attention Map Clustering

Abstract: This paper proposes a decoder-only Transformer model for analyzing and clustering vehicle-to-vehicle interactions in highway merge zones. Leveraging deep learning, the model captures complex ...
IEEE

A Novel Method With Encoder-Decoder for Cross-Sensor Adaptation in Surface Shape Sensing With Sparse Strain Sensors

Abstract: Performance variations in sensor arrays, caused by intrinsic differences or installation conditions, can lead to inconsistent results during shape sensing. To obtain accurate results, a ...
GitHub

Input Encoders for Multi-Channel Signal Transformers

Recommendation. Default to nn.Linear(C, d_model) — it's the simplest thing that works and we never decisively beat it, because the per-channel projections spontaneously orthogonalise when the task ...
GitHub

GitHub - OssiLehtinen/channel-encoder-audit: Empirical audit of input encoders for multi-channel signal transformers — nn.Linear (C, d_model) matches every alternative. · GitHub

Input Encoders for Multi-Channel Signal Transformers Ossi Lehtinen, Ocon Oy — [email protected] Recommendation. Default to nn.Linear (C, d_model) — it's the simplest thing that works and we never ...