These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

Secure your MCP deployments with quantum-resistant integrity verification. Learn how to protect machine-to-machine model contexts from future quantum threats.

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

The change is part of a deal to bring TikTok under U.S. ownership to avert a looming ban. By Emmett Lindner and Lauren Hirsch The software giant Oracle will oversee the security of Americans’ data and ...

Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...

At the University of Dayton, Dr. Taha leads the Parallel Cognitive Systems Laboratory. The lab is specialized in artificial intelligence algorithms, applications and hardware. Additionally, the lab ...

This is an implementation of the Karatsuba polynomial multiplication algorithm in the LEGv8 assembly language, a RISC ISA part of the ARM architecture family. This was done as my final project for ECE ...