Background Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study ...
Researchers at the University at Albany and Rutgers University have developed an early-warning framework that can predict harmful social media interactions before they erupt, paving the way for ...
Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: ...
Abstract: This article proposes a new current control for switched reluctance motor (SRM) drives. The proposed method is based on the principles of model-free predictive control. Therefore, it ...
A benchmark called OSWorld-Verified, designed to monitor AI's ability to navigate desktop environments, found that GPT-5.4 scored 75%, up from 47.3% with its GPT 5.2 model. That also beats the average ...
Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...
GPT-5.4 is out now on ChatGPT (where it goes by the name GPT-5.4 Thinking) as well as on the OpenAI API and OpenAI’s coding ...
Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...
Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...
China, India, and Japan Are Fueling Sustained Demand Across the APAC Truck Tire Market Chinese manufacturers are ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
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