New professional development programme helps UK teachers integrate artificial intelligence tools into classroom practice without requiring technical expertise Teachers need practical AI skills they ...
Educational Voice targets growing demand for animated training content as organisations shift toward video-based learning A well-produced training animation can reach thousands of employees ...
Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...
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 ...
anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...
Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...
That joyfulness can extend even to the more mundane lessons, like learning new vocabulary, which historically has involved ...
Highlights from 2025 around the Twelfth District. Discover how the SF Fed engages, listens to communities, and learns from ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Train State transition models or pretrain State embedding models. See the State paper. See the Google Colab to train STATE for the Virtual Cell Challenge. To start an experiment, write a TOML file ...
Abstract: The recent advent of in-context learning (ICL) capabilities in large pre-trained models has yielded significant advancements in the generalization of segmentation models. By supplying domain ...
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