Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

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Orange Bank has entered the banking market with Djingo, a virtual advisor powered by IBM's Watson. "The virtual advisor brings customers a unique experience allowing them to interact with their bank when and where they want," said André Coisne, CEO of Orange Bank. For the French, mobile banking is becoming the preferred mode of interaction with their bank. Today, nearly two out of three (63%) French people have downloaded their bank's app on their mobile, and almost half (47%) consult their app at least once a week*. Orange Bank offers a new quality of customer services through a virtual advisor called'Djingo', which is powered by IBM Watson delivered through IBM Services.

We propose an approach to address two issues that commonly occur during training of unsupervised GANs. First, since GANs use only a continuous latent distribution to embed multiple classes or clusters of data, they often do not correctly handle the structural discontinuity between disparate classes in a latent space. Second, discriminators of GANs easily forget about past generated samples by generators, incurring instability during adversarial training. We argue that these two infamous problems of unsupervised GAN training can be largely alleviated by a learnable memory network to which both generators and discriminators can access. Generators can effectively learn representation of training samples to understand underlying cluster distributions of data, which ease the structure discontinuity problem. At the same time, discriminators can better memorize clusters of previously generated samples, which mitigate the forgetting problem. We propose a novel end-to-end GAN model named memoryGAN, which involves a memory network that is unsupervisedly trainable and integrable to many existing GAN models. With evaluations on multiple datasets such as Fashion-MNIST, CelebA, CIFAR10, and Chairs, we show that our model is probabilistically interpretable, and generates realistic image samples of high visual fidelity. The memoryGAN also achieves the state-of-the-art inception scores over unsupervised GAN models on the CIFAR10 dataset, without any optimization tricks and weaker divergences.

The role of artificial intelligence in advertising is leaping from the experimental stage to something more commonplace, as all marketers want to reach "the right person, at the right time, at the right place with the right message." That was the impetus behind lawn care services chain TruGreen's expanded use of IBM Watson Advertising's AI tools to target specific customers with ads recommending specific offers related to local conditions. TruGreen boasts 2.3 million commercial and residential customers with 260 lawn care branches in the United States and Canada, plus about 35 franchise locations. To reach those people and businesses with a timely message about their individual lawn care needs, the IBM Watson ads takes in many factors that might come into play, such as weeds, thin grass, dryness, lack of growth, or grass discoloration. "At TruGreen, we are constantly looking for new and innovative ways to interact with consumers," said Kari Rajaniemi, Chief Marketing Officer, TruGreen.

"Orange Bank has entered the banking market with an innovative, new offer. Djingo powered by Watson is one of the bank's innovations. The virtual advisor brings our customers a unique experience allowing them to interact with their bank when and where they want," said André Coisne, CEO of Orange Bank. For the French, mobile banking is becoming the preferred mode of interaction with their bank. Today, nearly two out of three (63%) French people have downloaded their bank's app on their mobile, and almost half (47%) consult their app at least once a week*.

IBM Watson CTO Rob High has done a lot of thinking about the privacy, security, and ethical implications of artificial intelligence. He presented some of those ideas at Mobile World Congress 2018, and we talked to him about some of his key findings. You can watch the interview above or read the transcript below. High said, "One of the things we have to realize about AI--it's relatively new to all of us. There's a lot about it that we don't all fully understand. Even as a technologist, we know where we're trying to bring the technology, but on the other side there's lots of people for which this technology is new. The experiences around that are going to be different. As with any new technology, it's really important that we be thinking now about how we do that ethically and responsibly. For us, that comes down to three basic principles. "What that basically means is that when you're using an AI technology, you have to trust that it's going to be doing the right thing.

IBM Corp.'s Watson is heading to space, specifically the International Space Station, in the form of an 11-pound, artificially intelligent smiling orb. The orb, dubbed CIMON, short for Crew Interactive Mobile Companion, will be taken to the ISS in June by German astronaut and scientist Alexander Gerst. It has been designed as an experimental assistance system to support astronauts in performing routine work. Complete with an "expressive digital face," CIMON will initially assist Gerst in running a series of tests, including an experiment with crystals, solving a Rubik magic cube based on videos, and a complex medical experiment. "CIMON's digital face, voice and use of artificial intelligence make it a'colleague' to the crew members," IBM said in a blog post Monday.

The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets pdf ai arxiv.org