The entanglement-assisted training algorithm of the MicroAlgo supervised quantum classifier opens up new possibilities in this field.

Researchers at Google have open-sourced EvoLved sIgn mOmeNtum (Lion), an optimization algorithm for training neural networks, which was discovered using an automated machine learning (AutoML ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

Intermediate algorithm training: Refine your history and reject videos you don't want to see If likes, subscriptions, and the bell are all small nudges to the algorithm, are there big nudges you ...

Many algorithms claiming to identify melanoma better than dermatologists are trained on retrospective datasets, which is not reflective of real-world clinical practice, said Jonathan Kentley, MBBS ...

Across all three of the aforementioned algorithms, performance was better on faces showing “neutral” or “happy” expressions, the most common expressions in the training databases.

New research highlights a problem machine learning researchers in medicine are increasingly worried about: Training AI systems on data skewed by sex could make them less accurate.

BERT is an AI language model that Google uses within its algorithm to help provide relevant search results by better understanding the context of the searcher's query.

The algorithms used to estimate your training load have some fundamental flaws, scientists say ...

shenzhen, May 16, 2025-- Shenzhen, May. 16, 2025–– MicroAlgo Inc., today announced the development of a novel quantum entanglement-based training algorithm— the Entanglement-Assisted ...