“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

A deep learning algorithm called FaceAge could allow clinicians to improve their qualitative assessments, and possibly catch ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Pulsar’s risk scoring engine integrates a diverse array of data points, synthesizing user-provided information with ...

TruthScan, a deepfake detection software, aims to protect both consumers and enterprises from AI-related fraud attacks.

Nutshell reports that ethical AI practices in sales build customer trust through transparency, human oversight, and ...

LinkedIn rewards different signals in 2026. Chris Donnelly brings data-backed insights from analyzing 300,000 posts on what ...

Abstract: Brain structural magnetic resonance image (MRI) is a very useful way to learn about the structure and function of the brain. For doctors, finding and classifying brain tumor (BT) is a ...

Learn how business logic serves as the framework of rules and algorithms, enabling smooth data flow between databases and ...

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

Artificial intelligence (AI) and consumer technology are becoming the new operating system for consumer-packaged goods brands. What used to be a world driven by shelf space, trade promotions and ...

Abstract: The large-scale, high-dimensionality of datasets poses major obstacles to effective and precise data clustering in the field of big data analytics. This work focuses on a well-known ...