detecting

How Good Are People at Detecting AI?

As AI advances, AI-generated images and text have gotten increasingly indistinguishable from human-created content. Whether in the shape of realistic deepfake videos, art or sophisticated chatbots, these creations often leave people wondering in the...

Detecting Video-conference Deepfakes With a Smartphone’s ‘Vibrate’ Function

Latest research from Singapore has proposed a novel approach to detecting whether someone on the opposite end of a smartphone videoconferencing tool is using methods akin to DeepFaceLive to impersonate another person.Titled , the...

AnomalyGPT: Detecting Industrial Anomalies using LVLMs

Recently, Large Vision Language Models (LVLMs) corresponding to LLava and MiniGPT-4 have demonstrated the power to grasp images and achieve high accuracy and efficiency in several visual tasks. While LVLMs excel at recognizing common...

Detecting Cancer Growth Using AI and Computer Vision Introduction Methodology and Approach Data Collection and Preprocessing Model Training Inference Concluding remarks

AI for social good: applications in medical imagingThis model integrated in existing workflow of pathologists can act an assistive tool, and may be of high clinical relevance especially in organizations with limited resource capabilities,...

Detecting data drift to observe ML models in production (using Evidently library in Python) What’s data drift and why should we detect that ? Tips on...

Data drift occurs when the statistical properties of the input data change over time, resulting in a shift in the info distribution.Note:With default logic, z test is used for goal and KS test is...

Why detecting AI-generated text is so difficult (and what to do about it)

This tool is OpenAI’s response to the warmth it’s gotten from educators, journalists, and others for launching ChatGPT with none ways to detect text it has generated. Nonetheless, it remains to be very...

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