Beyond Real Weights
Progressive PHM reparameterization compresses multimodal language models by 35%, achieving 48% faster inference while preserving output quality — accepted at WACV 2026.
A basic neural network that connects market data to actionable insights. Information flows forward, layer by layer.
Now the network remembers. Loops allow information to persist, catching patterns that unfold across hours of market activity.
Extended LSTM stretches memory across weeks. It tracks major structural levels, regime changes, and multi-week cycles.
No more sequential processing. Every data point connects to every other instantly — like having 100 researchers working in parallel.
LSTM captures momentum. xLSTM tracks structural trends. Transformers reveal hidden correlations. Together, they surface insights no single model could.
The latest updates and breakthroughs from RobotTrader
Progressive PHM reparameterization compresses multimodal language models by 35%, achieving 48% faster inference while preserving output quality — accepted at WACV 2026.
Novel bidirectional fine-tuning method integrating positive and negative rationales with PEFT, enabling 3B models to surpass label-only 70B models on multilingual financial sustainability classification.
Explore ResearchRevolutionary multi-scale decomposition combining wavelet transforms with neural attention mechanisms. Achieved 38.7% improvement in trend prediction accuracy.
Explore ResearchRevolutionary approach combining natural language semantics with time series analysis for 41.2% reduction in forecasting errors.
Explore Research