New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...
Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...
Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
Modern conservation technology has one simple goal, even though achieving it is anything but simple: to spot a threat or ...
Harshith Kumar Pedarla explores using GANs to simulate network attacks. Synthetic data augmentation improves detection scores ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results