Through the years of its troubles, when it hemorrhaged reputation and people, Wells Fargo never backed off from its determination to innovate. The fourth-largest U.S. bank has been a digital banking powerhouse for years on both the retail and business banking sides. It has 30 million digitally active customers -- about 43% of its total customer base. The bank's Innovation Group, a key element of that success, has been led since May 2018 by Lisa Frazier, EVP and Head of Innovation, making her one of the highest-ranking women in financial technology. Frazier, an Australian, has an unusual background for a digital banking leader.

Accel Robotics, one of a growing number of AI startups that's setting out to enable automated cashierless stores, has raised $30 million in a series A round of funding led by SoftBank, with participation from New Ground Ventures, Toyo Kanetsu Corporate Venture Investment Partnership, and RevTech Ventures. Founded out of San Diego in 2015, Accel Robotics is developing the AI and computer vision smarts needed for checkout-free stores, which are designed to make queuing a thing of the past and will generate vast swathes of consumer data. The general idea is that the shopper simply walks into a store, picks items from the shelves, and then walks out again -- with the receipt sent directly to their mobile device. Accel Robotics has largely flown under the radar compared to other companies operating in the burgeoning cashierless store sphere, but it said it is already working on deployments across North America and Japan -- including in restaurants and drugstore chains. Amazon is arguably the highest profile cashier-free store operator, and since the ecommerce giant debuted its concept Amazon Go stores back in 2016, it has expanded the outlets to 18 locations across the U.S. A number of startups have launched to bring automated supermarkets to every city by helping retailers adapt their existing stores.

The global industry potential of artificial intelligence is well-documented, yet the vision of this AI future is uncertain. AI and automation trends are generating significant debate among economists and governments, particularly around employment impact and uncertain social outcomes. The mainstream attention is warranted. According to PwC, AI "could contribute up to $15.7 trillion to the global economy in 2030, more than the current output of China and India combined." AI is at a crossroads, and its long-term outlook is still hotly debated.

The global industry potential of artificial intelligence is well-documented, yet the vision of this AI future is uncertain. AI and automation trends are generating significant debate among economists and governments, particularly around employment impact and uncertain social outcomes. The mainstream attention is warranted. According to PwC, AI "could contribute up to $15.7 trillion to the global economy in 2030, more than the current output of China and India combined." AI is at a crossroads, and its long-term outlook is still hotly debated.

NEW DELHI: There is a need for degree courses and professional training programmes in Artificial Intelligence (AI) with the changing technology landscape, according to industry and academic experts. While the Central Board of Secondary Education (CBSE) has already introduced AI as an optional subject in schools, no full fledged degree courses are available in the area in the country besides few short term courses. "In the digital era and rapidly-evolving business landscape, AI is influencing a range of industries and altering the job roles. The world is looking at AI for its widespread applications in almost every industry and is considered to be the next big technological shift in industrial and smartphone revolution. The need of the hour is to make AI education more focused and easily available," said Varun Dhamija, Vice President, Pearson Professional Programs (PPP). "According to our recent survey, 60 pc Indians believe that the world is shifting to a model where people participate in education over a lifetime which makes it age agnostic.

Although corporate adoption of automation technology is becoming more widespread, success remains elusive. Three-quarters of respondents in a 2018 McKinsey global survey say their companies have begun to automate some business processes or plan to do so within the next year. Yet many find total returns have fallen short of their expected target. Our client work indicates there are two main reasons for this. First, too many organizations fail to consider how automating certain steps in a business or customer-facing process will affect upstream or downstream handoffs and connections, which can introduce new inefficiencies, capping the value delivered by automation.

It takes minutes for most new Minecraft players to work out how to dig up the diamonds that are key to the game, but training artificial intelligence to do it has proved harder than expected. Over the summer, Minecraft publisher Microsoft and other organisations challenged coders to create AI agents that could find the coveted gems. Most can crack it in their first session. But out of more than 660 entries submitted. The results of the MineRL - which is pronounced mineral - competition are due to be announced formally on Saturday at the NeurIPS AI conference in Vancouver, Canada.

Computer vision models have learned to identify objects in photos so accurately that some can outperform humans on some datasets. But when those same object detectors are turned loose in the real world, their performance noticeably drops, creating reliability concerns for self-driving cars and other safety-critical systems that use machine vision. In an effort to close this performance gap, a team of MIT and IBM researchers set out to create a very different kind of object-recognition dataset. It's called ObjectNet, a play on ImageNet, the crowdsourced database of photos responsible for launching much of the modern boom in artificial intelligence. Unlike ImageNet, which features photos taken from Flickr and other social media sites, ObjectNet features photos taken by paid freelancers. Objects are shown tipped on their side, shot at odd angles, and displayed in clutter-strewn rooms.

A prominent group of researchers alarmed by the harmful social effects of artificial intelligence called Thursday for a ban on automated analysis of facial expressions in hiring and other major decisions. The AI Now Institute at New York University said action against such software-driven "affect recognition" was its top priority because science doesn't justify the technology's use and there is still time to stop widespread adoption. The group of professors and other researchers cited as a problematic example the company HireVue, which sells systems for remote video interviews for employers such as Hilton and Unilever. It offers AI to analyse facial movements, tone of voice and speech patterns, and doesn't disclose scores to the job candidates. The nonprofit Electronic Privacy Information Center has filed a complaint about HireVue to the US Federal Trade Commission, and AI Now has criticised the company before.

Peggy and David Closs, John H. McConnell Chair Emeritus and Chair Emeritus of the Dept. of Supply Chain Management, Michigan State University, discuss how the supply chain has changed with the advent of new technology. He says consumers want more precise delivery and more customized product. They also discuss how there is a shortage of workers in the supply chain and what needs to be done to combat it.