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IBM's Watson-based voice assistant is coming to cars and smart homes

Engadget

One of IBM's first partners Harman will demonstrate Watson Assistant at the event through a digital cockpit aboard a Maserati GranCabrio, though the companies didn't elaborate on what it can do. In fact, IBM already released a Watson-powered voice assistant for cybersecurity early last year. You'll be able to access Watson Assistant via text or voice, depending on the device and how IBM's partner decides to incorporate it. So, you'll definitely be using voice if it's a smart speaker, but you might be able to text commands to a home device. Speaking of commands, it wasn't just designed to follow them -- it was designed to learn from your actions and remember your preferences.


IBM Watson unveils the AI-infused Watson Assistant. It's no Alexa or Siri

USATODAY - Tech Top Stories

A hotel room can make a guest feel welcome by proactively addressing their needs once they step into the room. Watson Assistant can set the room temperature and make dining recommendations based on preferences from past stays, turn on the lights and close the blinds depending on the time of day. IBM Watson is seeking to join the exclusive club occupied by Siri, Alexa, and the Google Assistant. At the IBM Think 2018 conference in Las Vegas on Tuesday, IBM is set to announce the Watson Assistant, an artificial intelligent advisor that the company describes as an "AI enterprise assistant." "Enterprise" is the key clue not to think of Watson Assistant has another Alexa or Siri but rather a new product tailored to IBM Watson partners.



Time on Alchemy is running out, have you switched to the new IBM Watson services

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Time on Alchemy is running out, have you switched to the new IBM Watson services

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Orange Bank brings new customer experience with its virtual advisor powered by IBM Watson – IBS Intelligence

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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.


Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks

arXiv.org Machine Learning

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.


Lawn Care Brand TruGreen Is Using IBM Watson Advertising's AI To Plant Repeat Business

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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 taps IBM Watson for virtual advisor

#artificialintelligence

"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: The 3 ethical principles AI needs to embrace

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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.