Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...

Discover why AI search engines outperform traditional search in accuracy and personalization. Explore key traditional search ...

Depending on the underlying graph, you also need to handle cycles intelligently. In social networks, mutual relationships are ...

We develop a search-based theory of mergers and acquisitions with heterogeneous firms and endogenous search complementarities. We use this model to understand how merger incentives and the firm size ...

The past year was a particularly transformative year for search, witnessing significant advancements in search engine algorithms, artificial intelligence integration, and user experience enhancements.

Joshua Blumenstock is a Chancellor’s Associate Professor at the School of Information at UC Berkeley. Emily Aiken is a PhD ...

Nvidia leads AI tech with $5 trillion market cap, driven by high demand for its GPUs in AI applications. AI market growth is projected to increase from $235 billion in 2024 to over $631 billion by ...