Pietro Rossi had a problem. An insurance company needed a model that could price bonds based on the likelihood of changes in credit ratings. The standard, off-the-shelf models are based on probability ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

The Society of Pension Professionals (SPP) broadly supports the Financial Conduct Authority’s (FCA) latest proposals on adapting rules for a changing pensions market, while cautioning that regulators ...

This study addresses endosomal escape in oligonucleotide therapies and how engineered peptides can enhance intracellular drug delivery efficiency.

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Using the Frontier supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers from the Georgia Institute of Technology have performed the largest direct numerical ...

As artificial intelligence continues to reshape industries at an unprecedented pace, venture capitalists face a critical ...

Last year Twilio created a new role - Head of Marketing Innovation and AI, a job taken on by Piyush Sagar Mishra who explains ...

Will artificial intelligence ever be able to reason, learn, and solve problems at levels comparable to humans? Experts at the ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Put enough AI agents together and they’ll spout Shakespeare—or philosophy. That’s not sentience. What we should talk and think about is the utility of Agentic AI. If it can hold negotations for ...