If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The pressure is on for merchants to build customer trust through a smooth & secure experience from account creation through transaction. Our new research shows 92% of consumers demand fast, frictionless experiences AND security. Any loss of trust can send a shopper to your competitor, perhaps forever. Join Ekata experts Beth Shulkin and Matt Gonzalez as they discuss how friction, fraud and trust intermingle in the modern digital economy, the industry forces impacting card-not-present transactions and how companies can leverage machine learning behind-the-scenes to address these issues directly.
The European Commission says that the EU could become the most attractive, secure and dynamic data-agile economy in the world. The Commission's new data strategy is for the EU to seize new opportunities in digitised industry and business-to-business artificial intelligence (AI) applications. However, the Commission has scrupulously avoided the vital question of whether GDPR is an obstacle to the EU's plans to become an AI hub. The European Commission announced its new EU data strategy with the publication of two papers in February 2020. These were a white paper on AI and a communication entitled, "A European strategy for data".
Customer acquisition and retention remain the essential drivers of insurance revenue and profit. However, knowing how to create experiences to acquire and keep customers happy remains challenging. What Fintechs did in consumer banking, InsureTechs are doing to transform insurance customer experiences through smart mobile apps, integrating the phone's camera as an input channel, and collecting data to target personalized offerings. Artificial intelligence (AI) technologies show a lot of promise in transforming customer acquisition and retention, yet it is all too easy to assume that better technologies can, in themselves, transform customer experience. What's missing in these discussions is the human factor in the use of AI technologies: how AI tools can effect change in customer experience and operational excellence by focusing on the interactions of people, process and content.
Artificial intelligence (AI) stands apart as a transformational innovation of our digital age and its practical application all through the economy is developing apace. Artificial intelligence, automation and complementary technologies already play a critical role in how organizations work. According to a survey, 54% of executives state that AI solutions have increased profitability in their organizations, and that number is sure to develop in the coming years. But as opposed to many press reports, increased efficiency doesn't really bring about lost jobs. As business activities become smarter, with more AI incorporated in them, these tools will be utilized less to replace individuals and more to augment them.
NASA is running out of options in its mission to get its InSight lander's probe back on track. According to the agency, it will attempt to use a robotic arm attached to its InSight Lander to push down on a probe meant to drill into Martian soil which has struggled to achieve its mission throughout the past year. NASA says the goal is to stop the probe from popping out of its partially dug hole which it has done twice in recent months in addition to almost burying itself. While the act of pushing down on the probe with the arm should be relatively easy, NASA acknowledges that choosing to do so could create problems for the instrument if too much force is applied. The worry is that pushing down with the arm may damage a ribbon-like stretch of wires that attaches to InSight.
Michelle Harrison Bacharach, the cofounder and CEO of FindMine, an AI styling company, has designed a technology, Complete the Look, that creates complete outfits around retailers' products. It blends the art of styling with the ease of automation to represent a company's brand(s) at scale and help answer the question'how do I wear this?' The technology shows shoppers how to wear clothes with accessories. The company uses artificial intelligence to scale out the guidance that the retailer would provide. FindMine serves over 1.5 billion requests for outfits per year across e-commerce and mobile platforms, and AOV (average order value) and conversions by up to 150% with full outfits. "I'm picky about user experiences," Bacharach explains.
Stanford engineers have redesigned an iconic 1981 DeLorean with a futuristic feature that Dr. Emmett Brown didn't think of –self-driving capabilities. The vehicle, referred to as MARTY, has been converted into an all-electric, self-driving machine that boasts custom suspension and onboard computers. The team designed the vintage car to also drift in a bid to develop automated vehicles that can use all of the friction between the tires in order to'avoid any accident that is avoidable within the laws of physics'. The MARTY, which stands for Multiple Actuator Research Test bed for Yaw control, was develop by a team at Stanford's Dynamic Design Lab, which first designed to car to drift – a style of driving where the car moves forward but in a sideways position. Stanford engineers have redesigned an iconic 1981 DeLorean with a futuristic feature that Dr. Emmett Brown didn't think of –self-driving capabilities.
Ridesharing is a coordination problem in its core. Traditionally it has been solved in a centralized manner by ridesharing platforms. Yet, to truly allow for scalable solutions, we needs to shift from traditional approaches, to multi-agent systems, ideally run on-device. In this paper, we show that a recently proposed heuristic (ALMA), which exhibits such properties, offers an efficient, end-to-end solution for the ridesharing problem. Moreover, by utilizing simple relocation schemes we significantly improve QoS metrics, by up to 50%. To demonstrate the latter, we perform a systematic evaluation of a diverse set of algorithms for the ridesharing problem, which is, to the best of our knowledge, one of the largest and most comprehensive to date. Our evaluation setting is specifically designed to resemble reality as closely as possible. In particular, we evaluate 12 different algorithms over 12 metrics related to global efficiency, complexity, passenger, driver, and platform incentives.
Online commerce giant eBay has relaunched its dedicated mobile app for car sellers and buyers, more than four years after killing the app. The eBay Motors app has been in beta for a few months, and version 1.0 is now live for Android and iOS. The new incarnation sports a number of notable automated features to help people sell their vehicles, including an image-categorization tool that groups photos by type, which was built using Google's AutoML Vision Edge tool for Firebase. The app has also been rebuilt from the ground up using Flutter, Google's open source platform for developing cross-platform apps based on the same codebase. For background, eBay first launched a dedicated mobile app for cars back in 2011, but ended up pulling the app -- alongside three other standalone apps -- in 2015 as it consolidated its services under the main eBay platform.