Rachael Hinkle’s work with machine learning intersects political science, legal training and computational methods.

Responsible AI involves designing machine learning systems that are transparent, fair, and accountable. In the context of healthcare, responsible AI also includes protecting patient privacy, ensuring ...

The global media landscape is undergoing a structural shift as artificial intelligence, retail media and platform ecosystems reshape how brands reach ...

We explore critical stages of M&A transactions and examine how AI is now available for deployment at each stage and the ...

Equipo Health launches embedded AI ecosystem to surface real-time insights, reduce care team burden, and improve ...

New AAN guidance examines how consumer wearable devices can support neurologic care, including epilepsy monitoring and sleep ...

Abstract: For an energy-efficient adaptive data rate (ADR) algorithm in a long-range wide-area network (LoRaWAN) system, an asymptotic analysis on the spreading factor (SF) by the ADR-MIN algorithm ...

Among the primary concerns surrounding artificial intelligence is its tendency to yield erroneous information when summarizing long documents. These "hallucinations" are problematic not only because ...

Telecom companies should invest in sophisticated anti-fraud tools that employ machine learning and Artificial Intelligence (AI) to enhance detection and response times while conducting regular audits ...

March 16, 2026 - PRESSADVANTAGE - Jedi Digital Marketing Hong Kong has released an announcement describing the ...

In the study “Human-AI Synergy in Statistical Arbitrage: Enhancing Robustness Across Volatile Financial Markets,” published in the journal Risks, the researcher investigates how combining AI with ...