Tag: recurrent neural networks

A new dendrite-inspired recurrent neural network architecture outperforms LSTMs on chaotic forecasting benchmarks and achieves strong seizure detection in raw ...

Researchers at the University of Tokyo show that a single recurrent spiking neural network can learn event identity, timing, and ...

Researchers in Vietnam have developed a hierarchical reinforcement learning system that trains surface-to-air missiles to simultaneously pursue maneuvering targets and ...

A new prediction-based neural network called RMTA-Net combines recurrent temporal processing, learnable memory banks, and adaptive attention to detect video ...

Researchers have built Tiny-STM, a 68.4-kilobyte LSTM controller with a simple coordinate memory that lets an ESP32 microcontroller track objects ...

Researchers in Greece have developed a two-stage framework combining kinematic-aware AIS data preprocessing with a bidirectional recurrent network to predict ...

Researchers have developed a parallel long short-term memory network with self-attention that reaches 91.6 percent accuracy in recognizing sentiment in ...

Recurrent neural networks trained on demanding multitask curricula spontaneously develop modular, brain-like architectures, showing that computational demands rather than wiring ...

Researchers have developed a frequency-domain AI network that detects periodic patterns in human check-in data to predict a user's next ...

Researchers at North Carolina State University have developed S-DEIM, a method that reconstructs global sea surface temperatures from sparse observations ...