Abstract: As the updating frequency decreases, the stagnation effect poses a challenge to the accuracy of model-free predictive control (MFPC) based on signal gradients. To mitigate this issue from ...

Chandigarh [India], June 27: In a significant advancement for smart agriculture and precision farming, researchers at Chandigarh University have developed an Artificial Intelligence (AI)-powered ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

Real environments can't inject edge cases on demand. Alibaba's Qwen-AgentWorld simulates them — and outperformed ...

A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...

Abstract: We present a sampling-based model predictive control method that uses a generic physics simulator as the dynamical model. In particular, we propose a Model Predictive Path Integral ...

The company said on Tuesday that it was holding back on releasing the new technology but was working with 40 companies to explore how it could prevent cyberattacks. By Kevin Roose Reporting from San ...

To drive growth, companies should transform customer support from reactive to predictive and proactive. Using foresight, ethical data and strategic alignment can turn customer experience into a key ...

Assigning a prognosis for a disease or predicting therapy outcomes is a key step in clinical decision-making and precision medicine. It enables the differentiation between non-responding and ...

Patients with non-traumatic cerebral hemorrhage admitted to the intensive care unit (ICU) are known to be at high risk for developing sepsis. However, limited research exists to quantify this risk.