A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

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Revolutionary brain-computer interface decoding system Date: March 30, 2025 Source: The University of Hong Kong Summary: Researchers have conducted groundbreaking research on memristor-based brain ...

This study introduces GCRTcall, a Transformer-based basecaller designed for nanopore RNA sequencing signal decoding. GCRTcall is trained using a joint loss approach and is enhanced with gated ...

The Block Transformer demonstrates comparable language modeling performance to vanilla models with equivalent parameters, achieving similar perplexity and accuracy on zero-shot evaluation tasks. It ...

Accurate traffic flow forecasting is crucial for managing and planning urban transportation systems. Despite the widespread use of sequence modelling models like Long Short-Term Memory (LSTM) for this ...