A self-supervised language model called NucleicBERT offers researchers a new computational lens on the vast and poorly charted space of...

Researchers have developed MPANet, a multi-modal deep learning network that fuses raw radio signal sequences with Markov Transition Field images...

Researchers have introduced SDOFMv2, a family of AI foundation models trained on over 500,000 Solar Dynamics Observatory images that learn...

A wavelet-based deep learning framework developed at Southwest Jiaotong University separates true aerodynamic forces from start-up vibration in hypersonic wind...

A new review in the Journal of Ovarian Research maps how artificial intelligence is fusing hormones, imaging, clinical records, and...

A new systematic survey maps the full landscape of privacy attacks on deep learning and finds that while differential privacy...

A new Nature Machine Intelligence study provides causal evidence that language models actively use internal confidence signals to shape their...

A rigorous cross-domain benchmark finds no detectable advantage for quantum-inspired optimizers over well-tuned classical methods in neural-network training.

Researchers in China built an interpretable Random Forest model that predicts which women with diminished ovarian reserve will progress to...

Researchers have unveiled a Profit-Driven Simulation framework that tests AI toxicity detection models in realistic, revenue-sensitive social media environments and...