In this paper, researchers propose a system for automatic detection of violence in videos, utilizing audio and visual cues for classification.

In this paper, researchers propose a system for automatic detection of violence in videos, utilizing audio and visual cues for classification.

“The soul becomes dyed with the colour of its thoughts.”

In this paper, researchers propose a system for automatic detection of violence in videos, utilizing audio and visual cues for classification.

In this paper, researchers propose a system for automatic detection of violence in videos, utilizing audio and visual cues for classification.

The iPad Pro has transitioned from a basic-task-only device, to being so capable, it genuinely could become your primary device.

In this paper, researchers propose a system for automatic detection of violence in videos, utilizing audio and visual cues for classification.

Let’s say that we want to raise an Exception1. But we also want to make it clear that Exception1 is caused by Exception2. In order to do…

In this paper, researchers propose a system for automatic detection of violence in videos, utilizing audio and visual cues for classification.

Explore how financial nihilism and Bitcoin challenge traditional finance, offering bold alternatives. Will you reshape your financial future? Read more now 👀➡️

Penguiana has continued to expand its market presence as the project's strategic initiatives and robust community engagement have been central to this impressiv

Artificial intelligence. It’s the buzzword on everyone’s lips, promising a future straight out of science fiction. Self-driving cars…

Salesforce Marketing Cloud (SFMC) provides advanced tools for website tracking and customer journey tracking, enabling businesses to gather…

1-page. Well-formatted.

Annotators can click on words to highlight the same word across the trace and the question text. Buttons on the right automatically become inactive

We use PaLM 2 L (Unicorn) to generate the traces used in BIG-Bench Mistake. All traces are generated at temperature = 0. We algorithmically append “Thought N:”

In this paper, we describe and release our dataset BIG-Bench Mistake for mistake-finding and propose a backtracking method to correct logical errors.

This paper explores few-shot in-context learning methods, which is typically used in realworld applications with API-based LLMs

6/1/2024: Top 5 stories on the HackerNoon homepage!

In this study, researchers describe three lines of work that seek to improve the training and evaluation of neural models using naturally-occurring supervision.