Beyond 3-D: Data scientists introduce novel AI tool to interpret complex biological data

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability ...
Centre for International Governance InnovationOpinion

Why Machine-Readable Standards Must Complement, Not Replace, Legal Architecture

The harder question now is supervisory: how can regulators see, interpret and supervise digital asset activity across users, ...
AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
The Robot Report

We know how to build smarter robots. Now, we need to learn smarter ways to test them

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...
IEEE

Fair Weak-Supervised Learning: A Multiple-Instance Learning Approach

Abstract: With the prevalence of machine learning in many high-stakes decision-making processes, e.g., hiring and admission, it is important to take fairness into account when practitioners design and ...
IEEE

Recent Advances in Optimal Transport for Machine Learning

Abstract: Recently, Optimal Transport has been proposed as a probabilistic framework in Machine Learning for comparing and manipulating probability distributions. This is rooted in its rich history ...
techxplore

Self-supervised machine learning adapts to new tasks without retraining

The field of machine learning is traditionally divided into two main categories: "supervised" and "unsupervised" learning. In supervised learning, algorithms are trained on labeled data, where each ...