Media
Tools to Spot Deepfakes and AI-Generated Text - KDnuggets
With the emergence of incredibly powerful machine learning technologies, such as Deepfakes and Generative Neural Networks, it is all the easier now to spread false information. In this article, we will briefly introduce deepfakes and generative neural networks, as well as a few ways to spot AI-generated content and protect yourself against misinformation. I have many elderly relatives and some middle-aged relatives that just aren't well-versed with technology. Some of these people believe nearly anything they read, or at least believe it enough to share it on social media. While that doesn't sound so bad, it depends on what you are sharing.
Council Post: Building Ethical And Responsible AI Systems Does Not Start With Technology Teams
Chief Technology Officer at Integrity Management Services, Inc., where she is leading cutting edge technology solutions (AI) for clients. In his book Talking with Strangers, Malcolm Gladwell discusses an AI experiment that looked at 554,689 bail hearings conducted by New York City judges. As one online publication noted, "Of the more than 400,000 people released, over 40% either failed to appear at their subsequent trials or were arrested for another crime." However, decisions recommended by the machine learning algorithm on whom to detain or release would have resulted in 25% fewer crimes. This is an example of an AI system that is less biased than a human.
Bidirectional Encoder Representations from Transformers (BERT): A sentiment analysis odyssey
Alaparthi, Shivaji, Mishra, Manit
The purpose of the study is to investigate the relative effectiveness of four different sentiment analysis techniques: (1) unsupervised lexicon-based model using Sent WordNet; (2) traditional supervised machine learning model using logistic regression; (3) supervised deep learning model using Long Short-Term Memory (LSTM); and, (4) advanced supervised deep learning models using Bidirectional Encoder Representations from Transformers (BERT). We use publicly available labeled corpora of 50,000 movie reviews originally posted on internet movie database (IMDB) for analysis using Sent WordNet lexicon, logistic regression, LSTM, and BERT. The first three models were run on CPU based system whereas BERT was run on GPU based system. The sentiment classification performance was evaluated based on accuracy, precision, recall, and F1 score. The study puts forth two key insights: (1) relative efficacy of four highly advanced and widely used sentiment analysis techniques; (2) undisputed superiority of pre-trained advanced supervised deep learning BERT model in sentiment analysis from text data. This study provides professionals in analytics industry and academicians working on text analysis key insight regarding comparative classification performance evaluation of key sentiment analysis techniques, including the recently developed BERT. This is the first research endeavor to compare the advanced pre-trained supervised deep learning model of BERT vis-\`a-vis other sentiment analysis models of LSTM, logistic regression, and Sent WordNet.
NEWS: Humanoid AI Robot To Take the Role of Lead Actress in an Upcoming Sci-Fi Film -- The Confessionals
Robots are likely to replace a lot of jobs in the future, but these roles are generally well-suited to automation. For some jobs -- particularly creative professions -- it'll be much harder to simply swap in a digital employee. But as a forthcoming feature film proves, it won't be impossible. According to Hollywood Reporter, science-fiction movie b will be the first to rely on an artificially intelligent actor. Meet Erica (pictured above), a humanoid robot that will take center stage in Life Productions' $70 million picture, which tells the tale of a scientist tasked with creating perfect human DNA.