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Found 6 results

  1. Above: A neural network -- InstaGAN -- swaps clothing. Swapping giraffes for sheep. Switching skirts with jeans. It might sound far-fetched, but those are just a couple of the feats a machine learning algorithm designed by researchers at the Korea Advanced Institute of Science and Technology and the Pohang University of Science and Technology can accomplish after ingesting large datasets of images. It’s described in a new paper (“InstaGAN: Instance-Aware Image-to-Image Translation“) published on the preprint server Arxiv.org this week.
  2. Microsoft Cortana, and why the future of AI is contextual Cortana is getting a new lease on life, and it may be the breakthrough AI needs. To a lot of people watching the technology world and digital assistants, Microsoft's Cortana often ranks low on the list of options. A lot has happened since 2013, when Microsoft began putting Cortana into Windows Phones, including the death of that platform. But in 2019, the voice assistant is getting some significant revisions, including contextual-based conversational abilities as announced at the Build developer conference
  3. Intel offers AI breakthrough in quantum computing Intel's senior vice president and head of Mobileye, Amnon Shashua, on Wednesday unveiled new research done with colleagues at Hebrew University that both establishes important proof for capabilities of deep learning, and also offers a way forward for computing some commonly intractable problems in quantum physics.
  4. Please, Facebook, give these chatbots a subtext! Facebook’s latest research on intelligent agents shows the field continues to be divorced from the underlying motivations and impulses that make dialogue and interaction rewarding. Imagine yourself in a restaurant, waiting for a table. A stranger approaches and asks, "Do you come here often?" Do you Reply, "Yes, and how come I've never seen your type here before?" because you agree to pick up on the hint and flirt?
  5. Today, at the 5G Mobile World Conference, Nvidia co-founder and CEO Jensen Huang, announced Nvidia Jarvis, a multi-modal AI software development kit, that combines speech, vision, and other sensors in one AI system. Here's a YouTube video of the presentation: As stated before, Jarvis is the company's attempt to process multiple inputs from different sensors simultaneously. The wisdom behind this approach is that it will help build context for accurately predicting and generating responses in conversation-based AI applications. To prefac
  6. Over the weekend, Nvidia announced that it has trained an AI – which you can test out yourself – to put the expression of one animal realistically onto the face of another. With Nvidia's new GANimal app, you can put the smile of your pooch onto the face of a lion, tiger, or bear. In fact, this app can recreate the expression of any animal on the face of any other creature. To accomplish this, the technology company trained an AI using generative adversarial networks, "an emerging AI technique that pits one neural network against another". The network can t
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