ModiFace AI Helps Customers Find Their Ideal Hair Color NVIDIA Blog

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The days of hair coloring being characterized by failed henna experiments and leaps of faith at salons will soon be a thing of the past, thanks to AI. Episode 4 of our "I Am AI" docuseries introduces ModiFace, a Toronto-based company that's transforming the way people choose new hair colors and, along with it, the multi-billion dollar hair care industry. ModiFace has been bringing augmented reality to the beauty industry for the past decade. The company's founder and CEO, Parham Aarabi, had applied his work on using AI for face tracking and lip detection to enable consumers to see what beauty products would look like when applied. Already a leader in that market, ModiFace is now eyeing the much more ambitious task of letting people virtually try on hair colors. The company's iOS application does just that -- with startling effectiveness -- removing a lot of the inherent mystery that comes with deciding on a new hair color.


World's First AI-capable Toothbrush "Ara" Brings Machine Learning to Oral Care - 1redDrop

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AI is going everywhere – into space, inside the human body and now, into your mouth. Ara, the world's first AI-capable toothbrush will actually teach you how to brush your teeth better. If you're a dentist, you'll probably get to keep your day job. Ara, from Kolibree, a French oral care company with offices in France and the United States, connects with an app on your smartphone to transmit data about your brushing habits. It will know exactly how you brush and whether or not it's good enough to keep dental problems at bay.


Artificial intelligence and the new age beauty and cosmetics industry - Prescouter - Custom Intelligence, On-Demand

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The concept of beauty and cosmetics has advanced since the ancient Egyptian standards of smooth hair, clear skin, and beautiful eyes to include hair color and extensions, face contouring, and eyebrow enhancement. For each curve on our face, there now exists a product available to enhance and project it beautifully. The definition of beauty has changed over the years. Growing global economies, increasing disposable incomes, changes in lifestyle (indulgence in cosmetics for skin care, salon and spa treatments), and climate changes have resulted in increased skin care demands. The popularity of natural and organic beauty products, particularly in the United States and European countries, has also fostered the growth of the cosmetics market.


Olay talks AI: "Personalisation is something that's very interesting to us"

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The rise of AI and machine learning is impacting every sector, not just in terms of the marketing tools that exist to reach consumers with the right messages at the right time, but in the very products that brands can offer to their audience. From automated chatbots to intelligent recommendation engines, AI is enabling brands to personalise the products in new and exciting ways. One of the latest firms to take advantage of this technology is P&G skincare brand Olay, which has recently expanded its Olay Skin Advisor service to customers worldwide. The AI-powered platform is designed to help women better understand their skin, and find the products best-suited to their personal skincare needs. Mobile Marketing Magazine spoke to Dr. Frauke Neuser, principal scientist at Olay, about what led the brand to embracing AI. "What people don't realise is we have a lot of expertise and a lot of data in the area of imaging, both image capture and image analysis, and that's one of the core elements of the Olay Skin Advisor," said Dr. Neuser.


Nvidia is interacting with hundreds of deep-learning startups

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Nvidia chief executive Jen-Hsun Huang said that deep learning artificial intelligence has become a new computing platform, and the company is dealing with hundreds of startups in the space that plan to take advantage of the platform. Speaking at the GPUTech conference in San Jose, Calif., Huang noted that 5 billion was invested last year in A.I. startups, and there are probably a thousand companies working on the technology for applications ranging from face recognition to self-driving cars. "Deep learning is not an industry," he said. "Deep learning is going to be in every industry. Deep learning is going to be in every application."