Agnik, the global leader of the vehicle analytics market, announced today that it is going to offer a wide range of Deep Machine Learning-based solutions for powering its new and existing products in ...

The emergence of tools like ChatGPT complicates the ability of instructors to assess genuine learning, raising concerns about the future of this educational model. The COVID pandemic accelerated the ...

Background: Critical thinking is a crucial skill in the nursing profession and must be fostered through nursing education. Simulation-based learning (SBL) with technological modalities is a ...

Ohio State may offer university-wide asynchronous classes on every federal general election day as part of an effort to encourage civic engagement if university leadership approves the resolution.

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Set your own properties inside of package.json for opencv4nodejs up to 4.6.0 depends on necessary versions and flags "opencv4nodejs": { "autoBuildWithoutContrib": 1 ...

Reinforcement Learning RL is increasingly used to enhance LLMs, especially for reasoning tasks. These models, known as Large Reasoning Models (LRMs), generate intermediate “thinking” steps before ...

💫 Advancing Long-form Writing Capabilities: Our resulting writer models show that our RL framework largely improves long-form writing performance over strong SFT baselines. 💫 Generalization from ...

Abstract: Semi-asynchronous federated learning (SAFL) leverages the benefits of synchronous and asynchronous updates, effectively addressing the straggling effect caused by heterogeneity among clients ...

As language models scale in parameter count and reasoning complexity, traditional centralized training pipelines face increasing constraints. High-performance model training often depends on tightly ...