A new study used deep-learning AI to help uncover how the brain's evolution differed over the past 320 million years in ...

Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, ...

The integration of neuromorphic computing and deep learning is revolutionizing computational neuroscience, offering new methods for interpreting complex ...

With a specialization in machine vision research, in 2008 Liang started writing machine-learning algorithms to analyze market trends and macro data to make investment decisions, according to Chinese ...

We provide a novel Software-Defined Networking (SDN)- driven Deep Learning (DL) approach to develop a secure ... decision about whether to send the data to the fog layer. The CNN approach is also ...

1-by-1 CNN layers capture the interaction between different types of input data. Deep learning transformer architecture is employed in a spatial-temporal (S-T) transformer module to capture long-range ...

To this end, a deep learning-based explainable CNN fusion model has been introduced in the proposed framework for automatic screening and interpretation of DR stages using digital fundus images. We ...

Then the wind kicked in. The temperature dropped. They were in waist-deep snow and whiteout conditions. They were lost on the tallest mountain in the Northeast, known for its extreme, changeable ...

Still, the bureau handed over the details of more than 5,000 FBI agents and employees who worked on investigations related to the January 6, 2021, US Capitol riot, CNN reported Tuesday.

In a Wednesday statement obtained first by CNN, the five former administrators said that to “weaken and even destroy the Agency is to the benefit of neither political party and the detriment of ...

CNN has reached out to WHO for comment. WHO has previously defended its response to the COVID-19 pandemic. In 2020, when Trump threatened to pull US funding from the body during his first term in ...