As demand for heart transplants continues to far exceed the number of available donor hearts, experts at the 46th Annual ...

As part of this system, TVision’s second-by-second, person-level attention data is incorporated as a high-quality input specifically within xpln.ai’s CTV modeling. TVision captures detailed viewer ...

Vaibhav Tummalapalli is using AI-driven models and scalable data platforms to help auto brands identify and convert ...

As Anthropic’s Mythos signals a shift to unprecedented machine-speed vulnerability discovery, EPSS is gaining renewed ...

With the rise of free ad-supported streaming television (FAST) channels and a continued desire to bring linear local television content to the digital universe via apps, such insights could prove ...

Researchers have shown how random forest algorithms can be applied to complex ecological models to uncover the mechanisms driving system behavior. By analyzing a stage‑structured consumer‑resource ...

For those unafraid of equations, What Are the Odds? is a practical, insightful guide to thinking like a statistician.

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

A new machine learning framework, PROLONG, forecasts that global wind and solar capacity could expand faster than most official climate scenarios suggest. Trained on 13,000 simulated national energy ...

Finance has never been more informed. Across institutions, decision-makers are surrounded by dashboards, forecasts, real-time ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types in patients with cancers of unknown primary (CUP), according to research ...