El Niño-Southern Oscillation (ENSO) is the strongest interannual variability signal in Earth's climate system. The shifts ...

In June, Google DeepMind took the wraps off AlphaGenome, its latest machine learning model for biological discovery. While ...

At the global level, the system identifies the most influential variables driving predictions, such as the credibility of the information source, framing signals, or linguistic complexity. At the ...

Digital transactions have emerged as a dominant force in today’s global commerce sector, empowering businesses and financial institutions like never before. However, at the ...

Blockchain technologies are digital systems that work by distributing copies of information across several computers, also ...

More information: Shiru Wu et al, Point Defect Detection and Classification in MoS2 Scanning Tunneling Microscopy Images: A Deep Learning Approach, Molecules (2025).

Although deep learning shows potential for early detection of STIs, there are challenges to ensuring the generalisability of such algorithms due to limited heterogeneous data. Standardised, diverse ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological disorders and treatment responses.

Using the APTOS 2019 Blindness Detection dataset, which includes diverse, labeled retinal images, we train, test, and benchmark deep learning models under standardized conditions, employing Python and ...

In this paper, we propose an innovative deep learning-based model designed to detect potential security vulnerabilities in source code. The model is pretrained on the open-source PyPI code repository ...