FILE In this Monday Dec. 21, 2009 file photo, Sudan, a northern white rhino, arrives at the Ol Pejeta Conservancy in Kenya. There's just one male northern white rhino left in the world, and he's getting some help from the Tinder dating app. A Kenyan wildlife conservancy is teaming up with Tinder for a campaign called "The Most Eligible Bachelor in the World," focusing on the rhino named Sudan. They are raising money for research to save the species from extinction. Sudan and his last two female companions are unable to breed naturally because of issues that include old age.

With fintech startups threatening the traditional banking industry, some financial institutions are refusing to play the role of helpless victim by launching their own innovation hubs. However, most of these idea labs aren't found in the U.S. Rather than resign themselves to fate and surrender market share as they are increasingly marginalized by fintech startups, many of the world's leading banks are taking the lead with a proactive strategy: launching their own internal innovation labs. These aren't just hollow corporate initiatives designed to generate some PR buzz. And they go beyond the typical R&D department you might find tucked away in some corner office. They are bona fide programs, with their own slick facilities backed by a real investment -- both money and manpower.

Meet Dave: an AI dressed up in a bearsuit that's just launched to save you from the evils of expensive overdraft fees. Hand Dave access to your checking account and the app's machine learning algorithms will get busy crunching your spending data so the bear can warn you about pending transactions -- like a monthly subscription for Netflix or your typical Saturday night Uber bill -- which might push you into the red and incur an expensive bank penalty. The US-only app predicts a user's "7 Day Low", aka the lowest it thinks your bank balance will drop in the next seven days, in order to encourage and support better money management. The ultimate aim being to help people avoid having to fall back on their overdraft as "an expensive form of credit", says co-founder Jason Wilk, describing it as a sort of "weather forecast" for money management. Dave also includes a payday loan facility -- so users who face the inevitability of having to dip into a negative balance can opt to borrow up to $250 ahead of their next paycheck to see them through.

Cars are turning into computers with a unique set of requirements. One of the more important components is a camera, which is a secondary feature in PCs. Cameras are aiding mirrors in allowing cars to self park, and they will serve as the eyes for autonomous cars, helping capture and analyze images. The number of cameras on cars will only grow as drivers seek a better view of the vehicle's interiors and exteriors. For car makers, the next big goal is to bring context and understanding to those images.

Digital All Stars is a series of articles which aims to celebrate the best of South African digital. The articles, which will appear on Memeburn and Ventureburn, recognise and celebrate South Africa's best digital entrepreneurs, business people, advertisers, and media professionals among others. In this piece we take a look at some interesting African startups involved in developing artificial intelligence (AI) solutions. South African startup DataProphet last year received a significant investment of an undisclosed amount from Yellowwoods Capital Holdings to expand its international offering. As part of the deal, DataProphet will act as the advanced analytics partner for the group.

U.S. Defense Secretary James Mattis (R) greets an airman as he boards a U.S. Air Force C-17 for a day trip to a U.S. military base in Djibouti from Doha, Qatar April 23, 2017. DJIBOUTI -- U.S. Defense Secretary Jim Mattis on Sunday visited Djibouti to bolster ties with the tiny and impoverished African country that is home to an important base for U.S. counterterrorism forces, including drones. Mattis, the first Trump administration official to visit Djibouti, planned to meet with President Ismail Omar Guelleh and greet U.S. and French troops. He was accompanied by Marine Gen. Thomas Waldhauser, head of U.S. Africa Command. The U.S. operates drone aircraft from Djibouti for surveillance and combat missions against al-Qaida-affiliated extremists in Somalia and elsewhere in the region.

By Aakar Patel There is a cliff approaching fast that India is unprepared for. It's in the near future and will be upon us in 25 or 30 years, according to the people who have understood it best. In brief it is the creation of an artificial intelligence that is smarter than man. Once this is created, it will replicate itself and improve itself faster than we can imagine, leave alone compete with. Science writers call this moment the technological singularity.

The interdisciplinary field of computational sustainability is using Machine Learning algorithms to analyze and extract valuable insights from sets of Big Data gathered from environmental fields. It's not just about having large data sets or advanced pattern finding algorithms; it's how we use them. The following projects highlight how Machine Learning and Big Data are helping conservation efforts of all kinds. The ambitious Earthcube project has been in development the past five years and aims to produce a living 3D replica of Earth to serve scientists of different disciplines. It has been built upon interconnected projects that use computer science, Big Data, and geoscience, among various other branches of learning.

There is a cliff approaching fast that India is unprepared for. It's in the near future and will be upon us in 25 or 30 years, according to the people who have understood it best. In brief it is the creation of an artificial intelligence that is smarter than man. Once this is created, it will replicate itself and improve itself faster than we can imagine, leave alone compete with. Science writers call this moment the technological singularity.

Machine learning uses human expertise to boost algorithm effectiveness, finds Frost & Sullivan's Digital Transformation team Dedicated web application testing is fast becoming essential to any organisation's cyber security approach. The rapid proliferation of connected devices and the direct links among applications, http protocol, and web services create numerous points of vulnerability for hackers to exploit. Machine learning technology offers an innovative way to prevent these attacks and optimise web application security testing. How Machine Learning will Strengthen the Web Application Security Testing Market, a recent whitepaper from Frost & Sullivan's Digital Transformation Growth Partnership Service, details the evolution of web application attacks, showcases different machine learning algorithms, explains the best approach to select a machine learning partner for web application testing and provides an exciting innovation matrix regarding the web security testing ecosystem. To access the white paper, please click on the following link: https://goo.gl/3x0joh