You can now use Google Assistant voice controls to navigate Disney content on smart displays like Nest Hub and Nest Hub Max. To use the feature, you'll have to link your Disney subscription to your Google Home or Assistant app. Then, just say something like "Hey Google, play The Mandalorian," to stream content. From the start, Disney has been available on Google Assistant smart displays like Nest Hub. You can already use Assistant to play Netflix, Hulu, CBS All Access and HBO content, so it only makes sense that the same feature would be available for Disney .

The British startup Photogram AI has announced a new camera called the Alice Camera. It's an "AI-accelerated computational camera" that aims to deliver better connectivity than a DSLR and better quality than a smartphone. Smartphones have been making huge advances in the area of computational photography in recent years while traditional camera companies have largely been left in the dust. Alice is trying to bring the worlds of standalone cameras and computational photography together. Alice is an interchangeable lens camera that features a dedicated AI chip "that elevates machine learning and pushes the boundaries of what a camera can do."

Dive into the data science & machine learning behind Netflix's recommendation algorithms.

An international team of scientists said Monday it had joined forces to combat the spread of anti-Semitism online with the help of artificial intelligence.

Landing AI is helping food producers overcome not only the limitations of their human workforce but of traditional machine vision as well, using machine …

As machine–learning models become more prevalent in finance, experts warn that banks need to be on the lookout for a lurking threat: data poisoning.

Abstract: Deep reinforcement learning (DRL) algorithms have successfully been demonstrated on a range of challenging decision making and control tasks. One dominant component of recent deep reinforcement learning algorithms is the target network which mitigates the divergence when learning the Q function. However, target networks can slow down the learning process due to delayed function updates. Another dominant component especially in continuous domains is the policy gradient method which models and optimizes the policy directly. However, when Q functions are approximated with neural networks, their landscapes can be complex and therefore mislead the local gradient.

Large-scale dissemination of disinformation online intended to mislead or deceive the general population is a major societal problem. Rapid progression in image, video, and natural language generative models has only exacerbated this situation and intensified our need for an effective defense mechanism. While existing approaches have been proposed to defend against neural fake news, they are generally constrained to the very limited setting where articles only have text and metadata such as the title and authors. In this paper, we introduce the more realistic and challenging task of defending against machine-generated news that also includes images and captions. To identify the possible weaknesses that adversaries can exploit, we create a NeuralNews dataset composed of 4 different types of generated articles as well as conduct a series of human user study experiments based on this dataset. In addition to the valuable insights gleaned from our user study experiments, we provide a relatively effective approach based on detecting visual-semantic inconsistencies, which will serve as an effective first line of defense and a useful reference for future work in defending against machine-generated disinformation.

One of the top 10 trends in data and analytics this year as leaders navigate the covid-19 world, according to Gartner, is "augmented data management." It's the growing use of tools with ML/AI to clean and prepare robust data for AI-based analytics. Companies are currently striving to go digital and derive insights from their data, but the roadblock is bad data, which leads to faulty decisions. "I was talking to a university dean the other day. It had 20,000 students in its database, but only 9,000 students had actually passed out of the university," says Deleep Murali, co-founder and CEO of Bengaluru-based Zscore. This kind of faulty data has a cascading effect because all kinds of decisions, including financial allocations, are based on it.

See also my reviews of the related books Prediction Machines; Seeing Digital; A Human's Guide to Machine Intelligence; Machine, Platform, Crowd; …