If emotion functions as an operating system of silicon-based life, its implications extend far beyond robots. It defines not a feature category, but a new computing paradigm: any device that senses, ...
Abstract: While large language models(LLMs) have shown the ability to perform few-shot in-context learning(ICL) on novel tasks, their robustness to prompt variability ...
Explore the evolution of Security Information and Event Management (SIEM) as it integrates AI and machine learning to enhance ...
MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
Melissa Loble, Instructure's chief academic officer, recommends a focus on 'readiness' as a broader concept as we try to understand how to build meaningful education experiences that can form a bridge ...
To sustain academic integrity in an AI-present learning environment, educators must redesign assessment to foreground ...
Leading US and Chinese artificial intelligence models are frustrating to use in real-world settings because they struggle to learn from context, Tencent Holdings said in a new technical paper – the ...
The trajectory of artificial intelligence has reached a critical inflection point. We know how to scale individual models to hundreds of billions of parameters, yet they still struggle with plasticity ...
Google Research on November 7, 2025, introduced a new machine learning paradigm called Nested Learning, designed to solve catastrophic forgetting in AI models. This long-standing problem causes models ...
One of the main aims of memory research is to devise strategies that would support effective learning. So far, the golden standard of learning guidelines is supposed to involve repeated retrieval ...
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework ...
ABSTRACT: Motivation is formed by a breadth of elements, including biological, psychological, social, cultural, and environmental influences, and is characterised as a key component of students’ ...
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