A proof-of-concept study developed an ensemble machine learning model to estimate six-dimensional performance changes and ...

Infrastructure management firm Romonet is filing new patents as it hopes to overhaul its intelligence platform with machine ...

Population health programs continue to rely on blunt tools. Many risk stratification approaches emphasize historical utilization—basic risk scores or vendor-generated models that explain who was ...

Cloud-based athenahealth is expanding its portfolio to include machine learning and artificial intelligence with its acquisition of analytics startup Arsenal Health. Arsenal's Smart Scheduling tool ...

A preliminary study found that machine learning models predicting hip replacement outcomes trained on English data ...

Which kind of AI should companies focus on—generative AI, which produces writing, computer code, images, video and other content, or predictive AI, which targets ads, marketing, fraud detection, risk ...

The debate between predictive analytics and artificial intelligence shows the how intertwined these technologies are. Splitting hairs between the two shows that these terms are hierarchical and that ...

Machine learning has emerged as a transformative approach in the design and evaluation of steel alloys, offering data-driven models that complement traditional physics-based methods. By training ...

Newswise — In today’s digital landscape, an explosion of data from diverse sources like social media, sensors, and transactional systems has created a complex challenge for traditional analysis ...

The availability of low-cost business analytics tools has motivated many organizations to roll out customer profiling and predictive analytics applications in the hopes of revitalizing their marketing ...

The MS in Applied Data Analytics concentration in AI & Machine Learning provides an in-depth study of cutting-edge topics including neural networks, generative AI, automated reasoning, AI security, ...