Einstein is essentially a mix of organic and acquired technologies from Salesforce. Salesforce CEO Marc Benioff believes that artificial intelligence should just be infused through software and cloud services in a way that customers barely notice. Enter Salesforce's big "Einstein" initiative. Benioff teased out Einstein, Salesforce's artificial intelligence effort, and basically pre-empted his big theme for the company's Dreamforce powwow in October. Einstein is essentially a mix of organic and acquired technologies from Salesforce.

PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use, efficient, flexible and scalable deep learning platform, which is originally developed by Baidu scientists and engineers for the purpose of applying deep learning to many products at Baidu.

News digest – obesity in primary schools, the Crick, artificial intelligence and… Tasmanian devils?

Financial institutions and fintech innovators face increasing pressure to differentiate themselves through customer focused strategies to meet the greater expectations of their customers. As demand grows, increasingly they look to leverage big data solutions to create more profitable customer services and products. By harnessing the full potential of sophisticated data analytical tools, including artificial intelligence and machine learning applications, they can better understand current customer needs and serve them better in a more predictive manner. This webinar, brought to you by Finextra and Envestnet Yodlee, will examine the issues of creating value through the provision of transaction and data based services, in order to recognise requirements, spending trends, investment needs and identify cross and up-sell opportunities to create new sources of revenue. Register now to hear industry experts discuss the evolution of consumer transaction data analytics and how to leverage it to create a more engaging and personalised customer experience.

The biggest challenge with AI may be designing it. That's the implication of a study designed to last until 2116, called the "One Hundred Year Study on Artificial Intelligence." The Stanford-led project aims to report on the state of AI in our world every five years for the next century, as reported by a panel of two dozen experts--currently ranging from Julia Hirschberg, a pioneer of natural language processing, to Astro Teller, leader of Google's "moonshot" division. The first report, published online yesterday, reads a bit like a half-drawn map, a mix of observations, questions, and even warnings. First of all, "the panel found no cause for concern that AI is an imminent threat to humankind," which, phew.

To date, the promises of AI have largely remained unfulfilled. Real artificial intelligence--the kind that thinks; the kind that feels; the kind that observes; the kind you might fall in love with if you're not careful--is still a developer's daydream. Meanwhile, the AI we do have seem trapped in the same cycle of incremental evolution as the devices they inhabit. Maybe AI isn't supposed to be an app on a smartphone, or a software program on a speaker. Maybe it demands a dedicated device. Maybe it deserves its own body--not a humanoid body, of course, but a practical one; a body that allows it to integrate meaningfully and unobtrusively into your life.

This week on AI: 'See you on Sept. 7,' Apple's 14.5B bill, detonating Note 7 & more

US Transportation Secretary Anthony Foxx delivers an announcement in Washington, DC, in 2014. Automakers and ride-hail companies are racing to put self-driving cars on the road. In a few weeks, Uber passengers in Pittsburgh will be able to hail self-driving Volvos. Last month, Tesla announced its hopes to build an autonomous ride-hailing fleet. And this month, Ford said it plans to mass-produce autonomous vehicles by 2021.

Technology has greatly affected our lives over the years. Now, a study from Stanford University has revealed how artificial intelligence (A.I.) may change people's lifestyle -- from transportation, employment, health and household chores -- by the year 2030. Machine learning is a subfield of computer science, that grew out of the quest for artificial intelligence. It is so pervasive in today's world that you probably use it often in daily life, without even realising it. Machine learning has given us self-driving cars, effective web search, recommendations that you get when you visit web sites or social media sites, face detection in a digital photo album, stock trading etc. Mark Zuckerberg made it his new year's goal to create Jarvis-like artificial intelligence for his home -- at this point it lets him manage his house and toasts his bread.

Today's cars are getting smarter by the year. With internet connectivity coming standard on most new vehicles, several automakers and technology companies are entering this niche market to provide on-board infotainment, mapping and other applications. The hardware is already built into many cars, but it's the integration with smartphones that makes this an extremely useful tool. On September 1, Fiat Chrysler Automobiles (FCA) announced that the 2017 models of the Dodge Challenger, Dodge Charger and Chrysler 300 will get smartphone integration on UConnect, their onboard digital interface system. Apple users will be able to integrate the on-board system with Apple CarPlay and access everything from messages to maps to music to their phone contacts using either Siri voice control or UConnect's touch interface.