The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

I traded the static results of Flash Fill for dynamic formulas that update automatically.

Their findings demonstrate that although spurious correlations—a simple example of which is when a machine-learning system, not having "seen" many cows pictured at the beach, classifies a photo of a ...

Abstract: Malware poses a significant threat to network and information system security, particularly in industrial Internet of Things (IIoT) environments, where embedded systems and edge devices ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Giosuè Baggio is in the Language Acquisition and Language Processing Lab, Norwegian University of Science and Technology (NTNU), Trondheim NO-7491, Norway. Binz et al. explore horizontal integration ...

President Joseph Nyuma Boakai has launched the Excellence in Learning in Liberia (EXCEL) Project—a national program aimed at improving literacy and numeracy outcomes for children in early childhood ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

The ESP32-Stick-PoE-A-Cam(N16R8) is an open-source ESP32-S3 development board with Ethernet, camera, and active PoE support designed for machine learning applications. Compared to similar boards like ...

Abstract: High-frequency induction logging is a crucial technique in subsurface exploration, particularly in the oil and gas industry. It involves transmitting electromagnetic signals into the ground ...