Read together, the books form an intergenerational dialogue that moves from diagnosing a historical rupture to examining the ...

Credit: VentureBeat made with OpenAI ChatGPT Images 2.0 After months of rumors and reports that OpenAI was developing a new, more powerful AI large language model for use in ChatGPT and through its ...

Abstract: Educational Data Mining (EDM) is the application of data mining methods in the educational domain. In the EDM field, we see mixed data (i.e., text and number data types). Grouping or ...

PyXAB is a Python open-source library for X-armed bandit algorithms, a prestigious set of optimizers for online black-box optimization and hyperparameter optimization. DOO Optimistic Optimization of a ...

Algorithms have become integral to our lives. From social media apps to Netflix, algorithms learn your preferences and prioritise the content you are shown. Google Maps and artificial intelligence are ...

K-Nearest Neighbors (KNN) is a simple yet effective supervised machine learning algorithm used for both regression and classification tasks. The algorithm works by finding the K nearest data points in ...

Abstract: Vehicular edge computing (VEC) is a novel computing paradigm, which is designed to satisfy the growing computation and communication needs of vehicle systems. With the assistance of VEC, ...

As known as well, in case of AI/ML applications such as LLM training, AllReduce is the most important operation of collective communications used to aggregate the gradient matrix distributed on ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Community detection is a vital task in many fields, such as social networks, and financial analysis, to name a few. The Louvain method, the main workhorse of community detection, is a popular ...

Library Evolutionary Algorithms for Clustering (LEAC) is a library of genetic algorithms to solve the problem of partition clustering. It includes 22 classification genetic algorithms for solving ...

The high prevalence of polycystic ovary syndrome (PCOS) among reproductive-aged women has attracted more and more attention. As a common disorder that is likely to threaten women’s health physically ...