Differentiable Morphing is a machine learning algorithm that can morph any two images without reference points. It called “differentiable morphing” because neural network here is not used in traditional data to label mapping sense, but as an easy way to solve optimisation problem where one image is mapped to another via warp maps that are found by gradient descent. So after maps are found there is no need for the network itself.
AI has made headlines for the last few years, but after the new normal of remote work was accelerated in 2020, it has been more of an impact on remote talent acquisitions — which is expected to continue in the months and years ahead.
Here’s an article by Ilker Koksal published in Forbes on Leveraging AI In Remote Talent Acquisition.