CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...
Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.
FaithTime has launched its Bible Lessons Library, an accessible collection of teaching articles created to help readers understand Scripture with clarity and confidence. The library addresses a ...
Abstract: The rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language ...
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Model Context Protocol (MCP) is an open-source and universal communication protocol that allows AI models to connect to external data sources. MCP has been developed by Anthropic, and Google, OpenAI, ...
Most of what’s sold as “contextual” today still runs on the same keyword logic we used a decade ago. The industry didn’t reinvent contextual targeting; it simply replaced one keyword with a cluster.
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 ...
PROVIDENCE, R.I. [Brown University] — New research found similarities in how humans and artificial intelligence integrate two types of learning, offering new insights about how people learn as well as ...
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