Whether financial institutions are looking for improved customer service, risk management, fraud prevention, investment prediction or cybersecurity, the scopes of machine learning and artificial intelligence are limitless. In the modern era of the digital economy, technological advancements are no longer a luxury for the organizations, but a necessity to outsmart their competitors and business growth. With the technological advancements in the recent times, the impact of Machine Learning (ML) and Artificial Intelligence (AI) are very critical than ever before. Previously, we discussed the scopes of big data and data science in banking and financial services. In this article will explain in detail about ML and AI, and their scopes in banking and financial services. Apparently, in order to be successful and making an impact, the banks and financial institutions need to make machine learning and artificial intelligence an expansion of their big data and data analytics approach.

Have a question about taxes, vehicle licensing or simply need the phone number for a state agency? If you live in Mississippi, just ask Alexa, Amazon's digital assistant that has been programmed to also work with state and local governments. In fact, Mississippi is one of several governments that uses so-called chatbots to handle a range of basic but frequently asked questions. In Utah, teenagers can solicit help reviewing questions that might be on a driver's test. In Los Angeles, residents can get detailed information about city-sponsored events.

The Optimizing Government Project brings together scholars and researchers to discuss the use of machine learning by government. In recent years, the private sector has succeeded in finding many ways to leverage machine learning--a type of artificial intelligence that enables computers to "learn and adapt through experience." Well-known private sector applications of machine learning include Google's self-driving car project, online recommendations personalized for customers on websites like Amazon and Netflix, and fraud detection by credit card companies. But as the private sector embraces machine learning in new ways, the application of machine learning by government agencies has only started to take root. The use of artificial intelligence by government, though, raises important questions for a democratic society--about fairness, equality, transparency, and accountability.

Alisa, a virtual reality assistant developed by Russia's tech giant Yandex, has been nominated to become the next president of Russia by thousands of supporters across the country. The favorite for elections scheduled for March 2018, President Vladimir Putin, announced his candidacy on Wednesday. Putin is seeking a fourth term in office which would extend his tenure into 2024. Other contenders for the presidency will likely include familiar political figures from the pro-Kremlin Communist Party and the nationalist Liberal Democratic Party, as well as new faces such as the former reality TV star Ksenia Sobchak and the business-oriented Party of Growth leader Boris Titov. It appears they will now be challenged by Alisa's progressive promise to bring "the political system of the future, built exclusively on rational decisions made on the basis of clear algorithms," the Lenta news website reported.

Before scientists can effectively capture and deploy fusion energy, they must learn to predict major disruptions that can halt fusion reactions and damage the walls of doughnut-shaped fusion devices called tokamaks. Today, researchers at the U.S. Department of Energy's Princeton Plasma Physics Laboratory (PPPL) and Princeton University are employing artificial intelligence to improve predictive capability....

Two new exoplanets have been discovered thanks to NASA's collaboration with Google's artificial intelligence (AI). One of those in today's announcement is an eighth planet – Kepler-90i – found orbiting the Sun-like star Kepler-90. This makes it the first system discovered with an equal number of planets to our own Solar system. The new exoplanets are added to the growing list of known worlds found orbiting other stars. This new Solar system rival provides evidence that a similar process occurred within Kepler-90 that formed our very own planetary neighbourhood: small terrestrial worlds close to the host star, and larger gassy planets further away.

The FDA has been championing digital health of late with wide-ranging guidance that derives from the 21st Century Cures Act. This legislation acknowledges the potential that digital health has to make a difference in patient care, potentially leading to more precise therapies. Several developments this week show that the regulator is right to be excited about its potential. Some of the most exciting advances have come in the field of cancer – medical devices firm Angle has produced a new analysis showing that its liquid biopsy device Parsortix could be used instead of conventional tissue biopsies. Parsortix works by monitoring a patient's bloodstream for circulating cancer cells and the University of Southern California research adds to the body of evidence showing that liquid biopsies could replace invasive and unpleasant tissue biopsies in the future.

Researchers used data from NASA's planet-hunting Kepler space telescope to discover an eighth planet orbiting a star known as Kepler-90. The planet, dubbed Kepler-90i, is a hot, rocky planet that orbits its star every 14.4 days, and was found with the help of artificial intelligence, NASA said Thursday. The discovery marks the first solar system to tie with our solar system in the number of planets orbiting one star. "The Kepler-90 star system is like a mini version of our solar system. You have small planets inside and big planets outside, but everything is scrunched in much closer," Andrew Vanderburg, a NASA Sagan Postdoctoral Fellow and astronomer at the University of Texas at Austin, said in a statement, Vanderburg and researcher Christopher Shallue, a senior software engineer with Google's research team Google AI, used machine learning to make the discovery.

A computer with an automatic facial recognition system shows German Interior Minister Thomas de Maiziere, center right, as he visits the Suedkreuz train station in Berlin, Friday, Dec. 15, 2017. At the train station, German authorities test automatic facial recognition technologies.

An illustration of NASA's Kepler spacecraft, which started hunting for new planets in 2009. In a first for astronomy, scientists trained a neural network to sift through scads of data from a planet-hunting telescope, and it found a whole new world. Dubbed Kepler-90i, the newfound planet had been hiding in the buckets of data gathered by NASA's Kepler spacecraft. It joins seven other planets circling a star roughly 2,500 light-years away, which means the Kepler-90 system ties our own planetary family for hosting the most known worlds. "Kepler has already shown us that most stars have planets," NASA's Paul Hertz said during a press conference revealing the discovery.