Novel update laws with convergence analysis are formulated based on the mathematical representation of each layer in convolutional neural networks. The proposed learning laws enable concurrent updates ...

such as masked autoencoder (MAE) reconstruction and contrastive learning, offer a promising solution by reducing reliance on labeled data. Nonetheless, transformer-based MAEs are computationally ...

To address the challenge of controlling protein activation in living animals for gain-of-function studies, researchers from ...

A groundbreaking new study from computer vision startup Voxel51 suggests that the traditional data annotation model is about ...

2025 — Researchers explored how manual and keyboard practice influenced children's abilities in their reading and writing learning process. 5-year-olds were ... Apr. 28, 2025 — Scientists aren ...

Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix ...

Mistral's Codestral Embed will help make RAG use cases faster and find duplicate code segments using natural language.

Some say Washington's hand was forced by a deep fear of nuclear action, given heightened rhetoric from Indian and Pakistani officials and alarming intelligence reportedly received by U.S. agencies.

Researchers at Imperial College London developed an AI-driven framework that combines wearable health data with real-time ...

A new academic study introduces a deep learning framework designed to detect subtle semantic differences between human- and AI-generated text. As AI-written ...