Each month, over two million banking transactions and services are performed using the OCBC Mobile Banking app. Since 19 August 2019, the app has offered an AI-powered voice-based virtual assistant – which has helped with over 20,000 requests made via voice. In half of these requests, the customer was seeking information about spending categories and budgets; another 30 per cent concerned past banking transactions. Other mobile banking services that were performed using voice included locating ATMs, paying bills and changing banking PINs. The new voice-activated banking service, which was developed and trained over 13 months and is called the OCBC Banking Assistant, 'lives' in the OCBC Mobile Banking app.

Editor's note: This is the latest installment in an Uptech series of video interviews and accompanying transcripts about the emerging development and uses of Artificial Intelligence along with Machine Learning, YourLocalStudio.com and WRAL TechWire are working together to publish this series. Alexander Ferguson is the founder and CEO of YourLocalStudio. Artificial intelligence, machine learning: These emerging technologies are changing the way we live, work, and do business in the world for the better. How is AI actually being applied in business today, though? In this episode of UpTech Report, I interview Chaitanya Hiremath, who also goes by Chad.

Ever feel like the broadcasts for running meets lack a few bells and whistles that you may notice during other sporting events? If so, Tokyo 2020 is hoping to change that--and revamp the viewer experience with artificial technology innovations. On Wednesday, Intel announced a new partnership with International Olympic Committee (IOC) and the Tokyo Organizing Committee of the Olympic Games, and as part of it, also revealed some of the tech they will have at the event to offer broadcasters in Tokyo next July. As a result, track and field fans should be in for a very different viewing experience than they are used to. For starters, the tech giant is debuting what they call 3D Athlete Tracking (3DAT).

Complete report on Machine Learning in Finance market report spread across 100 pages, list of tables & figures, profiling 10 companies.

Last December Synced compiled its first "Artificial Intelligence Failures" recap of AI gaffes from the previous year. AI has achieved remarkable progress, and many scientists dream of creating the Master Algorithm proposed by Pedro Domingos -- which can solve all problems envisioned by humans. It's unavoidable however that researchers, fledgling technologies and biased data will also produce blunders not envisioned by humans. That's why a review of AI failures is necessary and meaningful: The aim of the article is not to downplay or mock research and development results, but to take a look at what went wrong with the hope we can do better next time. Traffic police in major Chinese cities are using AI to address jaywalking.

Amid the excitement surrounding the potential of artificial intelligence, financial institutions have a responsibility to ensure that AI is used in a way that's fair, transparent and accountable, according to TD Group President and Chief Executive Officer, Bharat Masrani. "TD is in the trust business, and we have worked hard to develop that trust over the past 163 years," he said. Masrani's comments came as part of a panel discussion among global financial sector leaders in Davos, Switzerland during the World Economic Forum on Thursday. AI is transforming the financial sector, giving financial institutions a tremendous opportunity to know their customer better and deliver experiences they would have never imagined. The panel discussion--which was hosted by Deloitte and also featured Sabine Keller-Busse, Chief Operating Officer of UBS, and Ann Cairns, Vice Chairman of Mastercard--focused on how financial institutions can unlock the opportunity of AI while upholding their responsibilities to customers, employees and society.

Researchers from Charité - Universitätsmedizin Berlin and the German Cancer Consortium (DKTK) have successfully solved a longstanding problem in the diagnosis of head and neck cancers. Working alongside colleagues from Technische Universität (TU) Berlin, the researchers used artificial intelligence to develop a new classification method which identifies the primary origins of cancerous tissue based on chemical DNA changes. The potential for introduction into routine medical practice is currently being tested. Results from this research have been published in Science Translational Medicine. Every year, more than 17,000 people in Germany are diagnosed with head and neck cancers.

Artificial intelligence (AI) has been on everyone's lips lately, and for good reason. The technology is constantly finding new applications and has already transformed a number of industries, including healthcare, communications, automotive, and financial, with others set to follow in the near future. Given the stakes involved, it may not be particularly surprising that law enforcement has somewhat lagged behind other sectors when it comes to the adoption of artificial intelligence. However, that's slowly starting to change, with law enforcement agencies around the world increasingly turning to AI to help them fight crime. A recent report published by MarketsandMarkets estimates that the global law enforcement software market will grow from $10 billion in 2017 to $18 billion by 2023.

China's rapidly evolving surveillance technologies have snared their share of fugitives in recent years. Most of these cases have involved facial recognition cameras, which can detect individual facial features regardless of glasses, hats or masks. There were the 80-odd wanted suspects picked out of crowds of tens of thousands of fans at concerts by Jacky Cheung, a legendary Hong Kong pop star. In April this year, a genius student wanted on suspicion of killing his mother was caught after being on the lam for almost four years. He was nabbed within 10 minutes of entering Chongqing airport, local media outlet Southern Metropolis Daily reported.

Technology and AI are increasingly being used to improve our lives, especially in the medical field. Now, researchers at the University of Oxford have used machine learning to help estimate the health of arteries and have developed a new biomarker to predict heart disease, and prevent future heart attacks. The researchers claim it can identify people at risk five years before it strikes. The typical procedure for those with chest pain is to conduct CCTA or coronary CT angiogram -- an imaging test to check the arteries. "If there is no significant narrowing of the artery, which accounts for about 75 per cent of scans, people are sent home, yet some of them will still have a heart attack at some point in the future," the press release claims.