Impacts4d
Using Machine Learning for Anomaly Detection
Machine learning algorithms are a powerful tool for detecting anomalies in network traffic structure. In this way they can ...
Hosted on MSN20h
The Role of Machine Learning in Analyzing Rugby Performance Metrics
Rugby is speed, momentum, and brute strength. But with every bone-rattling tackle and a pass shaped in geometric precision ...
Science Daily1d
Researchers reduce bias in AI models while preserving or improving accuracy
Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while ...
AZoRobotics on MSN2d
Identifying and Mitigating Bias in Machine Learning Models
A new MIT technique improves machine learning by removing key biased data points, boosting model performance for minority ...
acm.org5d
Causal Inference Makes Sense of AI
By combining scientific knowledge and data, Causal AI models can discover valid links that might otherwise go unnoticed.
EurekAlert!5d
Enabling AI to explain its predictions in plain language
MIT researchers developed a system that converts AI explanations into narrative text that can be more easily understood by ...
Techno-Science.net8d
How Machine Learning is Enhancing Digital Banking Services
Unlock the impact of machine learning in digital banking with smarter personalization, advanced fraud detection, efficient operations, and optimized customer support.
Meta launches AI model Motivo for humanoid agents; mind reasoning program for machine learning
Meta Platforms (META) launched AI model Meta Motivo for human-like digital agents, which has the potential to enhance the ...
Blood tests are currently one-size-fits-all − machine learning can pinpoint what’s truly ‘normal’ for each patient
If you’ve ever had a doctor order a blood test for you, chances are that they ran a complete blood count, or CBC. One of the most common blood tests in the world, CBC tests are run billions of times ...