After leaving Google in March, Marc Levoy, the imaging expert who helped create some of the Pixel lineup's most important computational photography features, has landed at Adobe. In an email, the Photoshop-maker said Levoy will "spearhead company-wide technology initiatives focused on computational photography and emerging products, centered on the concept of a universal camera app." Precisely what that universal camera app will entail Adobe hasn't said yet. However, the company notes Levoy will work with its Photoshop Camera, Adobe Research, Sensei and Digital Imaging teams. As The Verge notes, Adobe's Photoshop Camera and Lightroom apps already include camera functionality.

Netflix and Prime have such engrossing content that keeps us glued to the screen all the time. There is a section on both of these platforms which displays the recommended content on the basis of the previous content that you have watched. These recommendations seem to be quite relevant to your watch history and the kind of content you would want to engage yourselves with. How this works in the background is by designing certain recommendation systems. Recommendation systems are a set of algorithms which give you recommendations based on your history.

Well-trained machine learning can identify potential markers for problems within a claim based on data from thousands of other claims.

The right planning and application of machine learning can help businesses grow, compete and prepare for the future.

The Artificial Intelligence and Machine Learning Market Research Report helps out market players to improve their business plans and ensure …

Data Science and Machine-Learning Platforms Market report comprises of a massive database concerning to the recent discovery and technological …

Through these sophisticated AI and machine learning technologies, the seven-minute film shows how thoroughly convincing deepfakes can be.

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Major companies have increasingly reoriented themselves around technologies such as artificial intelligence, machine learning and deep learning.

She writes on policy issues. Dhungana has a degree in economics from Princeton University. He is into programming and machine learning.