Google Cloud has launched Vertex AI, a fully managed cloud platform that simplifies the deployment and maintenance of machine learning models. Vertex was announced during this year's virtual I/O developer conference and somewhat breaks from Google's tradition of using its keynote to focus more on updates to its mobile and web development solutions. Google announcing the platform during the keynote shows how important the company believes it to be for a wide range of developers. Google claims that using Vertex enables models to be trained with up to 80 percent fewer lines of code when compared to competing platforms. "Data science practitioners hoping to put AI to work across the enterprise aren't looking to wrangle tooling. Rather, they want tooling that can tame the ML lifecycle. Unfortunately, that is no small order. It takes a supportive infrastructure capable of unifying the user experience, plying AI itself as a supportive guide, and putting data at the very heart of the process -- all while encouraging the flexible adoption of diverse technologies."

During a virtual keynote at Google I/O 2021, Google's developer conference, Google Cloud has launched Vertex AI, a fully managed cloud platform that simplifies the deployment and maintenance of machine learning models. It's designed to help companies to accelerate the deployment and maintenance of AI models, Google says, by requiring nearly 80% fewer lines of code to train a model versus competitive platforms. Vertex offers access to the MLOps toolkit internally at Google for computer vision, language, conversation, and structured data workloads. MLOps, a compound of machine learning and information technology operations, is a newer discipline involving collaboration between data scientists and IT professionals to productize machine learning algorithms. "Data scientists have a big challenge about manually piecing ML point solutions, creating a lag time in model development and experimentation, resulting in very few models making it into production. To tackle these challenges, Vertex AI brings together the Google Cloud services for building ML under one unified UI and API, to simplify the process of building, training, and deploying machine learning models at scale" Craig Wiley, the director of product management for Google Cloud's AI Platform states.

During a virtual keynote at Google I/O 2021, Google's developer conference, Google Cloud has launched Vertex AI, a fully managed cloud platform that simplifies the deployment and maintenance of machine learning models. It's designed to help companies to accelerate the deployment and maintenance of AI models, Google says, by requiring nearly 80% fewer lines of code to train a model versus competitive platforms. Vertex offers access to the MLOps toolkit internally at Google for computer vision, language, conversation, and structured data workloads. MLOps, a compound of machine learning and information technology operations, is a newer discipline involving collaboration between data scientists and IT professionals to productize machine learning algorithms. "Data scientists have a big challenge about manually piecing ML point solutions, creating a lag time in model development and experimentation, resulting in very few models making it into production. To tackle these challenges, Vertex AI brings together the Google Cloud services for building ML under one unified UI and API, to simplify the process of building, training, and deploying machine learning models at scale" Craig Wiley, the director of product management for Google Cloud's AI Platform states.

In some stores, sophisticated systems are tracking customers in almost every imaginable way, from recognizing their faces to gauging their age, their mood, and virtually gussying them up with makeup. The systems rarely ask for people's permission, and for the most part they don't have to. In our season 1 finale, we look at the explosion of AI and face recognition technologies in retail spaces, and what it means for the future of shopping. This episode was reported and produced by Jennifer Strong, Anthony Green, Tate Ryan-Mosley, Emma Cillekens and Karen Hao. Strong: Retailers have been using face recognition and AI tracking technologies for years. And what if you could know about the presence of violent criminals before they act? With Face First you can stop crime before it starts.] It detects faces, voices, objects and claims it can analyze behavior. But face recognition systems have a well-documented history of misidentifying women and people of color. And they're trying to sell it and impose it on the entirety of the country?] Strong: This is Representative Alexandria Ocasio-Cortez at a 2019 congressional hearing on facial recognition.

The cosmetics market remains as lucrative as ever, if the latest estimates are anything to go by. It's anticipated to be worth $806 billion by 2023, driven in part by spending on AI in retail, which alone is expected to top $7.3 billion by 2022 thanks to blossoming tech like computer vision. L'Oréal has its finger on the pulse. Following on the heels of My Skin Track pH, a strip co-developed with skincare brand La Roche-Posay that can measure skin acid on the fly, it today debuted the Perso, an AI-powered system that's designed to deliver personalized skincare and cosmetic formulas. The Perso, which measures 6.5 inches tall and weighs just over a pound, features an automatic mechanism that dispenses portioned doses of product at its top.

L'Oréal's recently acquired Augmented Reality and Artificial Intelligence entity, ModiFace, and L'Oréal Research & Innovation, have announced the launch of a digital skin diagnostic for consumers based on 15 years of scientific research on skin aging by L'Oréal R&I evaluation teams. This new technology is based on an Artificial Intelligence-powered algorithm developed by ModiFace and nourished by L'Oréal's skin aging expertise and photo database. Using deep learning, the algorithm has been trained on 6000 clinical images from L'Oréal's R&I evaluation and knowledge studies conducted with Skin Aging Atlases, and then a new model has been created on over 4500 smartphones selfies for 3 groups of women (Asian, Caucasian and Afro-American) in 4 different lighting conditions. The results, which were developed with dermatologists, achieved a high level of skin assessment precision. Accurate results were obtained with different facial expressions and photo taking conditions (light, phone position) similar to those used by consumers.

You likely know Paris-based L'Oréal as a global cosmetics and beauty care company (the largest in the world), but you might not be aware of the company's commitment to research, innovation, and technology. In fact, since 2012, L'Oréal operates its own technology incubator, a group that operates like a start-up but focused on where beauty and technology meet. Here's an overview of the company's incubator and some other ways they are using artificial intelligence such as with its AI-powered digital skin diagnostic. L'Oréal's first incubator lab was located in New Jersey, but it now also operates additional labs in San Francisco, Paris, and Tokyo that are focused on a small number of products--a mix of apps and wearables and objects to help cosmetics be connected and customized to meet the specific needs of each customer. The incubator partners with entrepreneurs and academia to develop the latest and greatest products by using technology.

Artificial intelligence, it's said, will provide power to the 4th industrial revolution, changing the manner in which we work, live and interact. It's quickly disrupting all sorts of industries, and in beauty, organizations from probably the largest multinationals to impartial start ups are more and more investing in AI to bring groundbreaking innovative developments to customers. Earlier this year L'Oreal snapped up AI and augmented reality (AR) beauty brand ModiFace with plans to "support the reinvention of the beauty experience". Coty, meanwhile, has launched an accelerator programme for AI start-ups to earn an opportunity to work with the beauty company. And Perfect Corp has debuted its first Global AI Challenge, inviting resourceful innovators to build up beauty tech treatments using AI across all item categories from toothpaste to nail polish.

You likely know Paris-based L'Oréal as a global cosmetics and beauty care company (the largest in the world), but you might not be aware of the company's commitment to research, innovation, and technology. In fact, since 2012, L'Oréal operates its own technology incubator, a group that operates like a start-up but focused on where beauty and technology meet. Here's an overview of the company's incubator and some other ways they are using artificial intelligence such as with its AI-powered digital skin diagnostic. L'Oréal's first incubator lab was located in New Jersey, but it now also operates additional labs in San Francisco, Paris, and Tokyo that are focused on a small number of products--a mix of apps and wearables and objects to help cosmetics be connected and customized to meet the specific needs of each customer. The incubator partners with entrepreneurs and academia to develop the latest and greatest products by using technology.

L--Or--al, and its recently acquired augmented reality (AR) and artificial intelligence (AI) entity Modiface, have teamed up to introduce a new digital skin diagnostic tool. The new AI powered SkinConsult - for the firm--s Vichy brand - has been trained using 6,000 images from its Skin Ageing Atlases database in order to deliver accurate skin assessment for all skin types. Three groups of women from Asian, Caucasian and African ethnicities were used in the image collection process across Japan, France, China, India and the US. The Vichy SkinConsult will provide customers with a tailored diagnostic in three steps. Customers can upload a selfie to the brand--s website, after which they will receive feedback on fine lines, dark spots, wrinkles and pores before receiving a tailored product routine to address these concerns.