Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.
An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
Modern Engineering Marvels on MSN

How a dropout mastered PhD-level AI with ChatGPT

For Gabriel Petersson, the path to becoming a research scientist at OpenAI didn’t start in a lecture hall but began with a ...
Narsing Rao Dyavani's journey is not one of simply writing code, but of reimagining the very foundations of our digital world ...
Narsing Rao Dyavani's journey is not one of simply writing code, but of reimagining the very foundations of our digital world ...
Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
Overview: Keras remains one of the most intuitive and developer-friendly frameworks for building deep learning models, making ...
You can train your own image models for deployment on an ESP32-S3, and it's really easy.
A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected regions from only one or a few labeled samples.