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  2. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    In order to assess the most effective algorithms for detecting deepfakes, a coalition of leading technology companies hosted the Deepfake Detection Challenge to accelerate the technology for identifying manipulated content. [173] The winning model of the Deepfake Detection Challenge was 65% accurate on the holdout set of 4,000 videos. [174]

  3. Federal Board of Intermediate and Secondary Education

    en.wikipedia.org/wiki/Federal_Board_of...

    The FBISE was established under the FBISE Act 1975. [2] It is an autonomous body of working under the Ministry of Federal Education and Professional Training. [3] The official website of FBISE was launched on June 7, 2001, and was inaugurated by Mrs. Zobaida Jalal, the Minister for Education [4] The first-ever online result of FBISE was announced on 18 August 2001. [5]

  4. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  5. What is a deepfake? Everything you need to know about ... - AOL

    www.aol.com/news/deepfake-everything-know-ai...

    Deepfake audio has medical applications in the form of voice replacement, as well as in computer game design - now programmers can allow in-gamer characters to say anything in real time rather ...

  6. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    There are two markups for Outlier detection (point anomalies) and Changepoint detection (collective anomalies) problems 30+ files (v0.9) CSV Anomaly detection: 2020 (continually updated) [329] [330] Iurii D. Katser and Vyacheslav O. Kozitsin On the Evaluation of Unsupervised Outlier Detection: Measures, Datasets, and an Empirical Study

  7. Audio deepfake - Wikipedia

    en.wikipedia.org/wiki/Audio_deepfake

    Another recent challenge is the ADD [77] —Audio Deepfake Detection—which considers fake situations in a more real-life scenario. [ 78 ] Also the Voice Conversion Challenge [ 79 ] is a bi-annual challenge, created with the need to compare different voice conversion systems and approaches using the same voice data.

  8. Deepfake pornography - Wikipedia

    en.wikipedia.org/wiki/Deepfake_pornography

    Deepfake detection has become an increasingly important area of research in recent years as the spread of fake videos and images has become more prevalent. One promising approach to detecting deepfakes is through the use of Convolutional Neural Networks (CNNs), which have shown high accuracy in distinguishing between real and fake images.

  9. DARPA - Wikipedia

    en.wikipedia.org/wiki/DARPA

    Johnson and York were both keen on space projects, but when NASA was established later in 1958 all space projects and most of ARPA's funding were transferred to it. Johnson resigned and ARPA was repurposed to do "high-risk", "high-gain", "far out" basic research, a posture that was enthusiastically embraced by the nation's scientists and ...

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