Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

The OFIQ software library is intended to support large-scale biometrics programs with information about the usefulness of ...

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

Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...

Expertise in the various dimensions of integration and implementation is an essential but often overlooked component of transformative research on complex societal and environmental problems, such as ...

This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...

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 ...

This year has been a continuation of learning and understanding about how AI impacts our industry. It’s been less about the chaos of the initial disruption and more about “how do we leverage this?” My ...