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Facebook has taken efforts towards encouraging the creation of deepfakes in order to develop state of the art deepfake detection software. Facebook was the prominent partner in hosting the Deepfake Detection Challenge (DFDC), held December 2019, to 2114 participants who generated more than 35,000 models. [214]
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 ...
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.
There is research about which types of computer-aided chemistry would benefit from machine learning. [131] It can also be used for "drug discovery and development, drug repurposing, improving pharmaceutical productivity, and clinical trials". [132] It has been used for the design of proteins with prespecified functional sites. [133] [134]
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
The general approach by these tech companies is the detection of problematic news via human fact-checking and automated artificial intelligence (machine learning, natural language processing and network analysis). Tech companies have utilized two basic counter-strategies: down-ranking fake news and warning messages. [70]
Fei-Fei Li (Chinese: 李飞飞; pinyin: Lǐ Fēifēi; born July 3, 1976) is a Chinese-American computer scientist known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s.
Computational chemistry can help predict values like activation energy from catalysis. The presence of the catalyst opens a different reaction pathway (shown in red) with lower activation energy. The final result and the overall thermodynamics are the same. Computational chemistry is a tool for analyzing catalytic systems without doing experiments.