Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the ...
SCAN project aims to build European GNSS-based and AI-driven technologies to detect and assess roadway pavement problems.
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
The partnership between Lantronix and Safe Pro Group reflects a broader transformation in how intelligence, security and autonomy converge at the edge. As defense and autonomous systems evolve, the ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even when using clear definitions (such as “Civil War,” “Invasion,” or “Local ...
A mysterious RNA molecule found only in breast cancer led researchers on a six-year hunt that uncovered an entire hidden layer of cancer biology. The story began with T3p, a tiny RNA molecule found in ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
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