XAPP AI announced today that it has achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This designation recognizes that XAPP AI has demonstrated deep experience and expertise in building or integrating machine learning (ML) solutions on AWS. XAPP AI Conversational Self Service for Contact Center Intelligence (CSS4CCI) is designed to help customers succeed quickly with intelligent AWS ML services by automating knowledge capture for turnkey solutions in less than 60 minutes, and then scale their solutions without limits via Optimal Conversation Studio (OC Studio). AI driven applications are maturing rapidly and creating new demands on enterprises. AWS is keeping pace and continuously evolving AWS Competency Programs to provide customers an ability to engage enhanced AWS Partner technology and consulting offerings.

The Interactive Advertising Bureau (IAB), the national trade association for the digital media and marketing industries, is focusing its AI Standards Working Group to develop artificial intelligence (AI) standards, best practices, use cases, and terminologies in an effort to scale AI and enable the industry on its full potential. The group is newly co-chaired by IBM Watson Advertising and Nielsen. The first release of 2021, "Artificial Intelligence Use Cases and Best Practices for Marketing," will help executive leaders, marketers, and technologists get the most from AI, and do it responsibly. Created for those already working with AI or looking to leverage it in their business, this guide draws directly from the real-world experience of co-chairs IBM Watson Advertising and Nielsen as well as top publishers, agencies, and ad tech companies in the industry. It's not an ivory tower overview of AI: it's a specific guide for what to do for executives that are in the thick of it.

GUANGZHOU, China,--(BUSINESS WIRE)--XPeng Inc. ("XPeng" or the "Company", NYSE: XPEV), a leading Chinese smart electric vehicle ("Smart EV") company, today announced the launch of a long-distance navigation-assisted autonomous driving expedition from March 19 to 26, 2021, covering a total distance of 3,675 km across six provinces in China. The performance of XPeng's newly released autonomous driving assistance function - Navigation Guided Pilot (NGP) - will be fully tested in 3,145 km of highway driving, starting from Guangzhou, all the way north to Beijing. The Xpeng P7 Premium version, equipped with XPILOT 3.0 which supports the NGP function, will be driven by members of the media and third parties during the 7-day drive expedition, the longest driving challenge to date for an autonomous driving assistance function in mass-produced models in China. The total distance of 3,675 km consists of about 3,145 km of highways, where the key functionalities and reliability of the NGP, including automatic highway ramp entering and exiting, automatic switching of highways and optimization of lane choices, automatic lane changing, overtaking and speed limit adjustment, will be fully tested by the press and third parties. The frequency of human driver intervention, and the success rate for the functions listed above, are among the key indicators to be tested in these sophisticated driving scenarios on China's highways. Over the course of 7 days, the fleet of P7s will drive across 10 cities in China in six provinces, starting from Guangzhou, to Shantou, Quanzhou, Wenzhou, Hangzhou, Shanghai, Nanjing, Qingdao, Jinan, finishing in Beijing.

The demand for hydroponics is likely to surge in the near future because of their ability to provide better crop yields in a lesser time period, control soil borne pathogens, and nutrient availability in the system. Apart from that, the increasing global population and reduction in the number of agricultural lands is slowly surging concerns about food security. Hence, governments of various countries are taking initiatives to encourage farmers to adopt unique agricultural practices. Aquiculture is one such intelligent crop production technique that is enabling farmers to grow crops faster than conventional methods. Also, rising R&D activities by companies to enhance productivity is expected to propel the hydroponics market growth in the near future.

What's New: EXOS, a leader in the field of advancing human performance, is piloting Intel's 3D Athlete Tracking (3DAT) technology in training aspiring professional athletes to reach their peak performance. As pro days loom, these athletes seek to take their game to the next level with 3DAT by leveraging artificial intelligence (AI) to gain actionable insights about their velocity, acceleration and biomechanics when sprinting. This press release features multimedia. Two-time Olympic gold medalist Ashton Eaton works as a product development engineer in Intel's Olympic Technology Group. "There's a massive gap in the sports and movement field, between what people feel when they move and what they actually know that they're doing," says Eaton, who won gold medals in the decathlon.

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TELUS International, a digital customer service pioneer that develops, creates, and produces next-generation technologies for multinational and innovative brands, has completed the previously discussed acquisition of Lionbridge AI, the company's artificial intelligence (AI) subsidiary. On December 31, 2020, the contract was concluded. TELUS International is a branch of TELUS Group, a major telecom and information technology organization headquartered in Canada. As the organizations collaborate to promote the increasingly evolving domain of artificial intelligence, Lionbridge AI will supplement TELUS International's evolving range of next-generation digital solutions. The sale of Lionbridge AI will bolster Lionbridge's determination to providing creativity for its core language customers throughout technology, life sciences, gaming, digital commerce, and more.

Deciphering what flavor notes are present in a given coffee is more art than science. Tasters spend hours upon hours training their palates, translating the sensory information through the lens of past (highly subjective) flavor experiences to arrive at descriptors that best align with the original sensory input. But one startup is looking to take a more scientific approach to identifying flavors in coffee. The company is called Demetria and they have created an app to "detect a specific and high value sensory ("taste") profile of green coffee." In a press release announcing the company, Demetria touts itself as "the first AI-powered taste and quality intelligence [software as a service] startup for the coffee supply chain."

In June 2020, a new and powerful artificial intelligence (AI) began dazzling technologists in Silicon Valley. Called GPT-3 and created by the research firm OpenAI in San Francisco, California, it was the latest and most powerful in a series of'large language models': AIs that generate fluent streams of text after imbibing billions of words from books, articles and websites. GPT-3 had been trained on around 200 billion words, at an estimated cost of tens of millions of dollars. The developers who were invited to try out GPT-3 were astonished. "I have to say I'm blown away," wrote Arram Sabeti, founder of a technology start-up who is based in Silicon Valley. "It's far more coherent than any AI language system I've ever tried. All you have to do is write a prompt and it'll add text it thinks would plausibly follow. I've gotten it to write songs, stories, press releases, guitar tabs, interviews, essays, technical manuals. I feel like I've seen the future."

Clinton Township, Michigan--(Newsfile Corp. - March 1, 2021) - Resgreen Group (OTC PINK: RGGI) ("RGGI"), a leading mobile robot company, today announced the development of Atlas, its new Autonomous Mobile Robot (AMR) for demanding industrial and mission critical 24/7 applications. The vehicle can use either natural feature or magnetic tape guidance to navigate through manufacturing facilities and warehouses. The natural feature or free guidance requires no wires, tape or navigation marks. Instead, the vehicle uses advanced lasers to scan its surroundings, and then determines its position based on the mapped features along its path. "Atlas mobile robot was designed to meet a wide variety of customers' needs, whether it's free navigation requiring no modification to your facility or more cost-effective magnetic tape guidance," said Parsh Patel, CEO of RGGI. "We also understand industrial customers require a rugged vehicle that is built to last and moves heavy loads easily." It features 5G communications and operates using an Android or iOS application in manual mode and WiFi in automatic mode.