Jing Zheng Explores Generative AI and Machine Learning Optimisation for Digital Advertising Efficiency

A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative ...
IFLScience on MSN

This brilliant map has 3D models of nearly every single building in the world - all 2.75 billion of them

Google Maps has got fresh competition. Using machine learning, computer engineers have developed an interactive map that ...

What is the Difference Between Deep Learning and Machine Learning

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
Que.com on MSN

Understanding AI: Breaking down machine learning, deep learning, and generative AI

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

Neel Somani on How Privacy-Preserving Machine Learning Is Changing the Digital Landscape

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

New machine-learning models capture the rapid evolution of antimicrobial resistance

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Machine learning model predicts protein binding on gold nanoclusters

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
AlphaGalileo

Machine Learning Model predict protein binding on gold nanoclusters - Opens doors for next-generation biomedical nanomaterials

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Devdiscourse

AI models struggling to keep pace with exploding medical data volumes

Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...
Yale Environment 360

Machine learning model predicts PTSD symptom severity over time

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...