Abstract: Micro-expression recognition (MER) remains a challenging task due to the subtlety and low intensity of facial motion patterns. Existing deep models often struggle with spectral bias and ...

In this tutorial, we build a Meta-Agent that designs other agents automatically from a simple task description. We implement a system that analyzes the task, selects tools, chooses a memory ...

Nvidia CEO Jensen Huang noted a key difference between tasks and your job's broader purpose. AI automates tasks but preserves the purpose of many jobs in key industries, he said. AI was meant to wipe ...

WordPress’s experimental AI development tool, Telex, has already been put to real-world use, only months after its September debut. At the company’s annual “State of the Word” event on Tuesday in San ...

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As our planet warms, one crucial adaptation strategy is to make our cities and towns shadier, and the most beautiful way to do that is by planting more trees and taking better care of those already in ...

We introduce Uni-MuMER, which fully fine-tunes the Qwen2.5-VL-3B model for the HMER task without modifying its architecture, effectively injecting domain-specific knowledge into a generalist framework ...

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...

Technical skills are specialized hard skills developed through hands-on training and regular use. These skills are typically related to fields such as math, science, IT, or software tasks. Examples of ...

Many working professionals waste significant time each day because of inefficient scheduling habits. Practicing good time management is crucial if you want to boost your business output and maximize ...

Ninety-seven of the 140 law enforcement agencies that have signed 287 (g) agreements with ICE are in Florida. "The Florida Roundup" discusses the collaboration. Local governments across Florida are ...