Artificial intelligence (AI), machine learning (ML), predictive analytics, cloud: There's a long and growing list of technologies that will have a huge …

Rastogi shared great insights on how companies can empower all individuals by using artificial intelligence and machine learning-powered tools.

Artificial Intelligence and Machine Learning enable Retailers to boost their bottom lines, in part by showing when it's not necessary to offer a discount.

A deepfake is a fake video or image using artificial intelligence to maliciously spread disinformation. This is a huge cyber-security risk on many fronts. "When fake news meets artificial intelligence (AI), the risk is robots will lie, leaving us with fake intelligence and artificial news, or exactly where we are now."

Society is experimenting changes in information consumption, as new information channels such as social networks let people share news that do not necessarily be trust worthy. Sometimes, these sources of information produce fake news deliberately with doubtful purposes and the consumers of that information share it to other users thinking that the information is accurate. This transmission of information represents an issue in our society, as can influence negatively the opinion of people about certain figures, groups or ideas. Hence, it is desirable to design a system that is able to detect and classify information as fake and categorize a source of information as trust worthy or not. Current systems experiment difficulties performing this task, as it is complicated to design an automatic procedure that can classify this information independent on the context. In this work, we propose a mechanism to detect fake news through a classifier based on weighted causal graphs. These graphs are specific hybrid models that are built through causal relations retrieved from texts and consider the uncertainty of causal relations. We take advantage of this representation to use the probability distributions of this graph and built a fake news classifier based on the entropy and KL divergence of learned and new information. We believe that the problem of fake news is accurately tackled by this model due to its hybrid nature between a symbolic and quantitative methodology. We describe the methodology of this classifier and add empirical evidence of the usefulness of our proposed approach in the form of synthetic experiments and a real experiment involving lung cancer.

Integrating the data and using artificial intelligence and machine learning "would be very helpful to farmers making the best decisions every single …

From there, you'll learn how to use machine learning tools like Python to automate your trading to limit your losses and maximize your gains.

Of all the domains where machine learning is expected to be revolutionary, medicine is perhaps the most universal.

Shelly Duvall is hiding from her crazed husband as he chops down the door with an axe. Jim Carrey sticks his head through the opening and cackles the iconic line: "Here's Johnny!" What you're seeing is not a Hollywood special effect. It wasn't done with After Effects, green screen, or with costuming and makeup. The video is a fake created by deep learning artificial intelligence – a deepfake.