When investors evaluate stocks, bonds, or any other financial assets, understanding the financial health and potential of the companies...

Sovereign default is a critical event for investors to understand, as it can have profound implications on investment portfolios, especially those containing sovereign debt instruments. A sovereign default occurs when a country fails to meet its debt obligations. This can happen due to various reasons, such as excessive foreign debts, fraudulent lending, weak revenues, rising interest rates, or a combination of several economic factors. Historically, there have been notable i

In the world of finance and investing, data is the linchpin that drives decision-making. Traditional numerical datasets have been at the forefront of analytical processes, but with the advent of complex, interconnected datasets, graph-structured data is gaining prominence. Graph Neural Networks (GNNs) have emerged as a potent tool to decode these intricate data structures, revealing patterns and insights that were previously elusive. However, like all deep learning models, G

Theory of Mind (ToM) refers to the cognitive ability to attribute mental states—beliefs, intents, desires, emotions, knowledge—to oneself and others, and to understand that others have beliefs, desires, and intentions that may be different from one's own. This concept, deeply rooted in psychology and cognitive science, is gaining traction in the realm of artificial intelligence . For investors, understanding the implications of ToM in AI can provide valuable insights into fut

In the rapidly evolving domain of Artificial Intelligence, Transfer Learning has emerged as a pivotal technique, enabling machines to learn faster and more efficiently. For investors, understanding Transfer Learning can offer insights into the potential of startups, the efficiency of AI systems , and the overall trajectory of the AI industry. In this article, we'll look into what Transfer Learning is, its significance, and its potential advantages for businesses. What is Tra

In the age of data-driven decision making, the temptation to impart every piece of information to machines is strong. After all, with an...

As the AI landscape evolves, newer models and architectures that push the boundaries of machine learning and deep learning emerge. Among these, Neural Algorithmic Reasoning and Graph Neural Networks (GNNs) are leading the charge in creating more interpretable and causally informed models . For investors eyeing the next big thing in AI, understanding these models is crucial. This article looks into these topics and showcases their significance in our journey towards Causal

In the intricate world of data analysis, discerning correlations is often more straightforward than unravelling the threads of causation....

The Graphical Lasso (GL) is a statistical method that is utilized to estimate sparse inverse covariance matrices, which are pivotal for understanding relationships between variables in high-dimensional datasets . When applied to causal inference , the aim is to deduce the causal relationships among these variables . Graphical Lasso is a tool used by experts to understand relationships in large amounts of data. It helps investors see how different factors are connected, w

Graph Neural Networks (GNNs) are shaping up to be the next big thing in the tech landscape. Operating at the crossroads of graph theory...