Hidden discreetly in our brain is a small area called the ventral tegmental area, or VTA. This region is essential in our ...

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications—from autonomous driving to robotics. Researchers at the Technical University ...

Large Language Models (LLMs) have rapidly become indispensable Artificial Intelligence (AI) tools, powering applications from ...

The implemented system reduced fraud liability for issuing banks significantly while decreasing false positive alerts. This ...

Abstract: An improved hybrid grey wolf optimization algorithm (IHGWO) is proposed to solve the problem of population diversity, imbalance of exploration and development capabilities, and premature ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...

In order to ensure the prediction accuracy of mechanical properties, a TCMSSA-ELM model, which is a hybrid of the sparrow search algorithm (SSA) optimized by the tent chaotic mapping (TCM) algorithm ...

Other factors used by the algorithm are largely out of a caretaker’s control, and align closely with socioeconomic status. The neighborhood that a family lives in contributes to their score, and so ...

Abstract: In this paper, we present a new class of quasi-Newton methods for an effective learning in large multilayer perceptron (MLP)-networks. The algorithms introduced in this work, named LQN, ...