ICON.AI, the smart beauty device maker behind the world's 1st All-in-one Multi-Function Smart Makeup Mirror Device, named as CES 2020 Innovation Awards Honoree for Venus, Smart Makeup Mirror with Alexa Built-in. This press release features multimedia. ICON.AI, the smart beauty device maker behind the world's 1st All-in-one Multi-Function Smart Makeup Mirror Device, named as CES 2020 Innovation Awards Honoree for Venus, Smart Makeup Mirror with Alexa Built-in. ICON.AI reveals the Mirror at the 2020 CES .Venus is an all-in-one, multi-function smart makeup mirror featuring 7″ touchscreen LCD, Alexa built-in (smart display speaker), skin diagnostic/AR makeup function, table mood lamp, LED ring lights for makeup, in addition to the best user experience and user-centered design. Venus is a brand-new innovative beauty device which integrates artificial intelligence with various features/technology for beauty & cosmetic industry and customers.

LAS VEGAS--(BUSINESS WIRE)--Ambarella, Inc. (Nasdaq: AMBA), an artificial intelligence (AI) vision silicon company, today announced that Ambarella and Amazon Web Services, Inc. (AWS) customers can now use Amazon SageMaker Neo to train machine learning (ML) models once and run them on any device equipped with an Ambarella CVflow -powered AI vision system on chip (SoC). Until now, developers had to manually optimize ML models for devices based on Ambarella AI vision SoCs. This step could add considerable delays and errors to the application development process. Ambarella and AWS collaborated to simplify the process by integrating the Ambarella toolchain with the Amazon SageMaker Neo cloud service. Now, developers can simply bring their trained models to Amazon SageMaker Neo and automatically optimize the model for Ambarella CVflow-powered SoCs.

PointPredictive Inc., the San Diego-based machine learning company, announced today that Byrider has selected the companys risk scoring solutions to help them better segment high- and low-risk applications and dealers to improve profitability, expand loan availability and enhance the lending experience for both consumers and dealers. As part of the integration, Byrider will use the companys scoring solution " Auto Fraud Manager with Auto Fraud Alert Reporting " to identify misrepresentation and prevent default on high-risk applications while streamlining the approval process of low-risk applications to improve and expedite both the consumer and dealer loan funding experience, ultimately expanding their loan portfolio profitably. Byrider selected PointPredictives machine learning AI scoring after extensive testing of the solution and evaluating retrospective results. In our retrospective test with PointPredictive, we saw a significant lift in identifying defaults tied to misrepresentation and fraud, said Gary Harmon, Chief Risk Officer of Byrider. PointPredictive launched Auto Fraud Manager with Auto Fraud Alert Reporting to help address the $6 billion-dollar annual problem of misrepresentation and fraud that plagues the auto lending industry.

Newswire) VSBLTY Groupe Technologies Corp. (CSE: VSBY) (5VS.F) (VSBGF) ('VSBLTY'), a leading retail software technology company, and Pure Integrative Pharmacy, the Vancouver-based firm with 16 pharmacies throughout British Columbia in Canada, today announced a pilot program to educate consumers about the specific cutting-edge vitamins and supplements that will help them take control of their own health and enjoy greater vitality, safely and sustainably. Pure Integrative Pharmacy is part of Overwaitea Food Group, a major grocery chain operator, which already has more than 160 stores in western Canada under the Save-On-Foods banner, among others. VSBLTY technology provides enhanced customer engagement and audience measurement using machine learning and computer vision. Its industry-leading VisionCaptor and DataCaptor software combine motion graphics and interactive brand messaging with cutting-edge computer vision measurement and insights. "We're delighted to partner with Pure Integrative Pharmacy in this unique educational program that will also provide the firm with data analytics that help them better understand shopper engagement with innovative, in-store digital tools," said Jay Hutton, VSBLTY founder & CEO.

New York, December 30, 2019: The global Artificial Intelligence Platform market is segregated on the basis of Component as Tools and Services. Based on Deployment the global Artificial Intelligence Platform market is segmented in Cloud and On-Premises. Based on End-User Industry the global Artificial Intelligence Platform market is segmented in Manufacturing, Healthcare, BFSI, Research and Academia, Transportation, Retail and Ecommerce, and Others. The global Artificial Intelligence Platform market is expected to exceed more than US$ 10.8 Billion by 2024, at a CAGR of more than 28% in the given forecast period. The global Artificial Intelligence Platform market report provides geographic analysis covering regions, such as North America, Europe, Asia-Pacific, and Rest of the World.

Automation Anywhere, a global leader in Robotic Process Automation (RPA), today announced the acqui-hire of product engineering start-up Cathyos Labs to support the company's expansion and product innovation. Cathyos Labs specializes in product development, automation, RPA and predictive analytics. Through the acqui-hire, Automation Anywhere will strengthen its engineering team to increase product development, support and delivery for customers in India and across the region. Cathyos Labs is the first talent led acquisition by Automation Anywhere. Throughout India, acqui-hires are becoming common as organizations purchase a company in order to acquire or gain access to its employees, but not necessarily the company's products and services.

The North America artificial intelligence in fashion market accounted for US$ 128.7 Mn in 2018 and is expected to grow at a CAGR of 37.9% over the forecast period 2019-2027, to account for US$ 2254.2 Artificial Intelligence in fashion market is expected to experience remarkable growth in the coming years due to the rising technological advancements and expanding services and facilities in artificial intelligence in the fashion arena. Also, the availability of the massive amount of data due to the increased proliferation of digital services across the globe is anticipated to provide a strong thrust to the growth of artificial intelligence in fashion market. The penetration of advanced technology in the fashion sector worldwide and the real-time consumer behaviour insights and increased operational efficiency are driving the adoption of artificial intelligence in the fashion industry also present a bright outlook ahead for the artificial intelligence in fashion market in the coming years. However, Data privacy and security concerns across the sector would pose a stern challenge to the growth of the artificial intelligence in fashion market in the coming years. Despite these hindrances, the introduction of Natural Language Programming (NLP) to the fashion industry is a massive opportunity for AI in fashion vendors are anticipated to offer ample growth opportunities for the players operating in the artificial intelligence in fashion market during the forecast period of 2019 to 2027.

NEW YORK--(BUSINESS WIRE)--No city in the world is ready for the disruptions that will be brought on by the Age of AI. Significant improvements must be made by governments and private sector institutions to fully prepare for the challenges that lie ahead. This, according to a global study conducted by the Oliver Wyman Forum, which ranked 105 international cities in terms of their preparedness for the broad technological and digital disruption that will be spurred by AI and related technologies. The index ranks cities on four key criteria: the quality of a city's plan (Vision); a city's ability to execute on forward-looking plans (Activation); the extent and quality of talent, education, and infrastructure (Asset Base); and how the interplay of Activation and Asset Base are impacting its overall momentum (Trajectory). Singapore shows the most readiness overall, with an average score of 75.8 out of 100 across the four criteria.