Categories: AI/ML News

Alternative model can identify fake news by processing both textual and visual data

The advent of the internet has changed the way people access and share information, making it easier for malicious individuals to spread biased, unreliable or false news. Recent technological advances, including artificial intelligence (AI) models that can generate realistic texts, audio recordings and images, are further contributing to this wave of misinformation.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

All in one WAN 2.2 model merges: 4-steps, 1 CFG, 1 model speeeeed (both T2V and I2V)

I made up some WAN 2.2 merges with the following goals: WAN 2.2 features (including…

14 hours ago

Implementing Advanced Feature Scaling Techniques in Python Step-by-Step

In this article, you will learn: • Why standard scaling methods are sometimes insufficient and…

14 hours ago

AlphaEarth Foundations helps map our planet in unprecedented detail

New AI model integrates petabytes of Earth observation data to generate a unified data representation…

14 hours ago

Automate the creation of handout notes using Amazon Bedrock Data Automation

Organizations across various sectors face significant challenges when converting meeting recordings or recorded presentations into…

14 hours ago

LangChain’s Align Evals closes the evaluator trust gap with prompt-level calibration

LangChain allows enterprises to make and calibrate a model to evaluate applications and get it…

15 hours ago

Mark Zuckerberg Details Meta’s Plan for Self-Improving, Superintelligent AI

Meta CEO Mark Zuckerberg told investors that his new research lab will focus on building…

15 hours ago