Washington D.C. [USA], July 14 (ANI): Researchers developed a new artificial intelligence (AI) tool for detecting unfair discrimination such as race or gender. Preventing unfair treatment of individuals on the basis of race, gender or ethnicity, for example, been a long-standing concern of civilized societies. However, detecting such discrimination resulting from decisions, whether by human decision-makers or automated AI systems, can be extremely challenging. This challenge is further exacerbated by the wide adoption of AI systems to automate decisions in many domains including policing, consumer finance, higher education, and business. "Artificial intelligence systems such as those involved in selecting candidates for a job or for admission to a university are trained on large amounts of data. But if these data are biased, they can affect the recommendations of AI systems," said Vasant Honavar, one of the researchers of the study presented at the meeting of The Web Conference.

Hedge funds have been in the doldrums and face mounting pressure to justify their fees. Will artificial intelligence come to the rescue? A growing number of hedge funds are putting money behind the idea that a branch of AI called machine learning could provide a way to get back on top. A software program that searches for regularly occurring patterns in more data than even the most sleep-deprived junior analyst could examine, and then tests its hypotheses against even more data. What can satellite shots of mall parking lots tell you when combined with in-store sales data?

Japan's mtes Neural Networks and DTCO announced their partnership to promote the "CitiOS Project", combining structural health monitoring (SHM) and blockchain technology to monitor structural changes in infrastructures such as buildings, stations, railways, etc. CitiOS can significantly improve public safety for the areas that have suffered from earthquakes. Earthquakes has always been one of the biggest security issues facing Taiwan and Japan. The damage to infrastructures generated by earthquakes has often caused unacceptable casualties and an irreparable lost in property value. CitiOS will predict whether infrastructures changes in time and take necessary measures to overcome various defects. Moreover, with the aging of population in Japan, they can no longer rely entirely on manpower to manage urban infrastructures.

But don't worry, you don't need to be a qualified scientist to wrap your head around customer physiology. Physiology The way in which a living organism or bodily part functions. The following'neuro' tips and tricks are based on years of comprehensive research. All you need to do is run, measure and refine these data-backed mind hacks for your particular business. Be prepared to metaphorically zap some customer brains into motion!

AI has definitively beaten humans at another of our favorite games. A poker bot, designed by researchers from Facebook's AI lab and Carnegie Mellon University, has bested some of the world's top players in a series of games of six-person no-limit Texas Hold'em poker. Over 12 days and 10,000 hands, the AI system named Pluribus faced off against 12 pros in two different settings. In one, the AI played alongside five human players; in the other, five versions of the AI played with one human player (the computer programs were unable to collaborate in this scenario). Pluribus won an average of $5 per hand with hourly winnings of around $1,000 -- a "decisive margin of victory," according to the researchers.

Emirates NBD will also use AWS data analytics, Internet of Things, Natural Language Processing, alongside other innovative technology as part of its continuing efforts to better engage with clients and simplify banking. A front runner in retail banking creation, Emirates NBD is working with AWS due to its wide and deep portfolio of cloud solutions and the increased security and controls Emirates NBD can reach from the cloud, and is continued to purchase AWS as its preferred supplier for machine learning workloads. With AWS, Emirates NBD will take additional advantage of AWS artificial intelligence and system learning solutions including Amazon SageMaker, a totally managed machine learning service for construction, training, and deploying system learning models to provide pertinent real-time banking experiences. To create a more profitable and customer centric banking expertise, Emirates NBD can also be leveraging Amazon Personalize, an AWS system learning service which allows the evolution of personalized recommendations to establish new personalized retail banking software. Among the first of those software is a personal finance manager which uses an automated, self learning system to deliver an extremely personalized banking experience to clients so as to predict what each individual client needs as well as match this with the most suitable solution.

The Institute of Chartered Accountants of Trinidad and Tobago (ICATT), earlier this month, hosted a business forum comprising an audience of financial executives from various sectors including energy, banking and finance at the KPMG Headquarters in Port of Spain. The event themed "Artificial Intelligence (AI) – the Future of Accounting" exposed professional accountants to global developments, good practice guidance and knowledge-sharing that will enhance their roles and domain across the economy. In delivering the opening remarks, ICATT's president, Stacy-Ann Golding, praised the ICATT Professional Accountants in Business (PAIB) Committee for organising the forum, the topic of which, she noted, was critical to improving the readiness of today's accounting professionals to deal with AI and its implications. Bring a depth of insight and experience were featured speakers Nigel Romano, managing director and chief executive officer, JMMB Bank and Leslie Lee Fook, director of Artificial Intelligence, Automation and Analytics at Incus Services Ltd. Romano spoke on the use of AI, "I can recall the now obsolete, clunky computerised systems used in accounting during the 1970s and how they helped speed up work processes at that time. Today a similar shift is happening as current systems will soon be overshadowed by those powered by self-learning / machine learning capabilities."

"We analysed an adult income data set containing salary, demographic and employment-related information for close to 50,000 individuals. We found evidence of gender-based discrimination in salary. Specifically, we found that the odds of a woman having a salary greater than $50,000 per year is only one-third that for a man. This would suggest that employers should look for and correct, when appropriate, gender bias in salaries," said Honavar.

A team of researchers at the University of North Carolina at Chapel Hill and the University of Maryland at College Park has recently developed a new deep learning model that can identify people's emotions based on their walking styles. Their approach, outlined in a paper pre-published on arXiv, works by extracting an individual's gait from an RGB video of him/her walking, then analyzing it and classifying it as one of four emotions: happy, sad, angry or neutral. "Emotions play a significant role in our lives, defining our experiences, and shaping how we view the world and interact with other humans," Tanmay Randhavane, one of the primary researchers and a graduate student at UNC, told TechXplore. "Perceiving the emotions of other people helps us understand their behavior and decide our actions toward them. For example, people communicate very differently with someone they perceive to be angry and hostile than they do with someone they perceive to be calm and contented."

The flu vaccine is getting a boost from AI. The flu vaccine isn't perfect, but Australian scientists are trying to make it work better. Researchers at Flinders University in South Australia have developed a way to use artificial intelligence to create a "turbocharged" flu vaccine. A vaccine created with the computer program -- Smart Algorithms for Medical Discovery, or Sam for short -- started clinical trials in the US about a week ago, Flinders University Professor Nikolai Petrovsky said in an email to CNET. Petrovsky told the Australian Broadcasting Corporation that Sam can be trained and can then learn to create new drugs.