Artificial intelligence techniques have advanced rapidly in recent years, and their practical applications can be found in a wide range of fields, from facial recognition to image analysis. In order to target the user, malware writers are now attempting to write more progressive, sophisticated...

The study examines the predictability of S\&P 500 stock movements during the COVID-19 pandemic. It presents a comparative analysis of random forest and logistic regression models and evaluates the importance of different COVID-19-related features and control variables for the prediction task....

Sentiment analysis is a vital tool for uncovering insights from financial articles, news, and social media, shaping our understanding of market movements. Despite the impressive capabilities of large language models (LLMs) in financial natural language processing (NLP), they still struggle with...

Large language models (LLMs) have shown the potential of revolutionizing natural language processing in diverse domains, sparking great interest in finance. However, the finance domain presents unique challenges, including high temporal sensitivity, constant dynamism, and a low signal-to-noise...

Corporations are among the dominant contributors to climate change and environmental degradation. At the same time, they could still become champions to turn the ship around. With great power comes great responsibility. The emphasis on profit maximization led carbon majors to be one of the main...

Fifth Industrial Revolution: The fifth industrial revolution is a term that is used to describe the impact of converging technologies such as Artificial Intelligence, blockchain, virtual and augmented reality, biotechnology and much more. This phase marks an increasingly deep integration between...

Personal judgment and experience will influence the location and release date of a restaurant. It can be challenging to extrapolate subjective data across cultures and geographical areas. A supervised learning algorithm can construct complicated representations of complex variables using simple...

Outliers are observations that deviate significantly from the norm, and their detection has been a critical topic in various research areas and application domains, such as video surveillance, network intrusion detection, and disease outbreak detection. In recent years, deep learning-based...

These lecture notes are part of a course on Big Data Asset Pricing. The topics covered include an overview of machine learning, supervised and unsupervised learning, and general ML methods such as bias-variance trade-off, hyper-parameter tuning, train-validation-test methods, and feature...

In the era disruptive technology the emergence of artificial intelligence has fundamentally improved banking operations. The execution of artificial intelligence is no longer discretionary for financial institutions and now it is considered an essential tool to meet customer expectations....