Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

Some computers are easy to spot. Artificial, human-built computers like those found in smartphones and laptops are abstract ...

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...

Jan 30 (Reuters) - Shares of videogame companies fell sharply in afternoon trading on Friday after Alphabet's Google (GOOGL.O), opens new tab rolled out its artificial intelligence model capable of ...

Abstract: This study focuses on the model reference adaptive tracking control problem for uncertain switched systems using a dynamic event-triggered approach. Compared with the existing studies, the ...

Something to look forward to: The reports that Nvidia was to unveil DLSS 4.5 with 6x dynamic frame generation at CES have proved accurate. The company says that the update to its suite of AI-powered ...

Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...

As an emerging 3D cell culture system, organoid technology has demonstrated substantial potential in basic research and translational medicine by recapitulating in vivo organ structures and functions.

September 26, 2023, Paper: "his Perspective evaluates recent progress in modeling nature–society systems to inform sustainable development. We argue that recent work has begun to address longstanding ...