1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent ...

In recent years, machine learning has revolutionized the study of glacier erosion rates, providing valuable insights into ...

The announcement number for this patent is CN116434782B, with the application date dating back to November 2022. 💡 Technical ...

The Global Microtasking Market is projected to surge from USD 5.125 billion in 2025 to USD 14.638 billion in 2030, driven by ...

ELLICOTT CITY, Md., Sept. 04, 2025 (GLOBE NEWSWIRE) -- Md Al Rafi has been awarded the Best Paper Award at the 2024 IEEE ...

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...

An AgriLife Research study shines fresh light — literally — on forensic death investigations by using machine learning and infrared light.

The integration of AI also strengthens context-awareness, enabling production systems and service platforms to dynamically adapt to shifts in human behavior or operational requirements. This ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Instead of retraining the LLM, the agent consults a dynamic store of past outcomes to make smarter decisions for new tasks.