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AI-Based Deepfake Detection Platforms

Clean the Sky - Positive Eco Trends & Breakthroughs

CVEDIA's AI Solution Seeks to Put Users' Mind at Ease

— October 30, 2019 — Pop Culture
Singapore-based start-up CVEDIA is hypothesising an AI solution that is "one step ahead of deepfakes."

AI-generated videos are posing a problem on many fronts -- this is especially so for women, social media and perhaps even for democracy in the future. CVEDIA has proposed its software as a viable AI solution for deepfake detection.

CVEDIA's field of operation includes the development, training, and validation of machine-learning applications. It does so by referencing SynCity -- "a platform that runs proprietary algorithms that simulate real-world physics" and their environments, including people, lighting, and so on. These are done so meticulously that the artificial intelligence algorithm interprets them as real. The start-up believes that "since its algorithms are believable to the AI, [then] they can also be used to train it to detect fake videos."

Photo Credits: CVEDIA Media
Trend Themes
1. AI-based Deepfake Detection - CVEDIA's AI solution aims to address the issue of deepfake videos by detecting them with AI technology.
2. Machine Learning Applications - CVEDIA's platform focuses on the development and validation of machine learning applications for different industries.
3. Realistic Environment Simulation - The SynCity platform allows for the simulation of real-world physics to create believable environments for AI algorithms, enabling deepfake detection.
Industry Implications
1. Social Media - Social media platforms can use CVEDIA's deepfake detection AI software to prevent the spread of harmful and false content.
2. Media and Entertainment - Media and entertainment companies can utilize CVEDIA's realistic environment simulation platform for creating immersive virtual experiences.
3. Cybersecurity - CVEDIA's AI solution can also be used in cybersecurity to detect deepfake videos that may be part of phishing scams or other types of attacks.
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