Artificial intelligence has been tasked with many projects in its brief history, but assisting in the latest United Nations projects aimed at ending world poverty, could represent the noblest goals yet posed to the artificial thinking of machine learning. It may also be the most challenging as its measurements and assessments would be applied to the entire world. Ending world poverty by 2030 is the most ambitious of 17 global missions, planned by the United Nations in 2015. These Sustainable Development Goals will require substantial amounts of data and data analysis. Marshall Burke of Stanford University's Earth System Science explained to Quartz the need for some measure to gauge the success of the project. "How are we going to know if we've eliminated poverty if we don't collect data?

OK, they didn't literally run for any hills. But the EFF wrote a very panicked blog post warning of the dangers to come if an AI trained to hack wasn't parented properly. The histrionic post made a few headlines, but missed the point of the competition entirely. If the AI playing Def Con's all-machine Capture the Flag had feelings, they would've been very hurt indeed. The seven different AI agents were projects of teams that hailed from around the world, coming together to compete for a 2 million purse.

In 1997 a remarkable event caught everybody's attention - the then champion of the world Garry Kasparov lost a tournament to a supercomputer Deep Blue. It was called "a beginning of a new era of computers" by many and now it seems that time keeps justifying those loud statements... Being a sub-set of artificial intelligence, machine learning involves algorithms allowing computers to autonomously learn from input data. A fundamental distinction from "usual" software programs, such as Photoshop or, say, Excel, is that in machine learning computers don't have to be explicitly programmed but can change and improve their algorithms by themselves. The history of machine learning goes back to the 1950th. The first learning program was created by Arthur Samuel in 1952 and it was the game of checkers.

'Executives who don't use AI will become jobless'

There are currently over 100 million students waiting to become the next generation of engineers, rocket scientists and astrophysicists to get humans from Earth to Mars and beyond, but they may not be able to fulfill their potential simply due to a lack of access to a quality education. According to a study from UNESCO, more than 100 million young people worldwide, 62 to 66 million of whom are girls, are not attending school of any kind. Hundreds of millions more are unable to afford good-quality or safe schools. However, groups like OneWeb and ONE are aiming to provide universal Internet access worldwide by 2020, greatly expanding the ability to use educational resources online. Nevertheless, Internet access does not guarantee a quality education.

Asking about the benefits of artificial intelligence and machine learning reminds me a little of the transition to suitcases with wheels. Do you remember lugging around those old suitcases? If not, good for you -- this original advertisement from US Luggage will take you back! Thank Bernard Sadow for persistence with his idea to add wheels, because when he pitched his idea people thought he was crazy. Surely no one would want to pull their own suitcase?

Can FinTech and AI solve the ESG data puzzle?

China's next generation missiles to adapt to war situation according to Artificial Intelligence

Nikola Tesla, the inventor, electric car company namesake, and beloved darling of the internet, had a great many visions in his mind. And not just killer robots, but killer robots he thought were so deadly that the mere risk of their use would bring about peace. The patent, for "Method of and apparatus for controlling mechanism of moving vessels or vehicles," was granted November 8th, 1898. For a device like this to work, it needed to be wireless, and Tesla envisioned it powered by electrical waves. In a broad sense, then, my invention differs from all of those systems which provide for the control of the mechanism carried by a moving object and governing its motion in that I require no intermediate wires, cables, or other form of electrical or mechanical connection with the object save the natural modia in space.

Can FinTech and AI solve the ESG data puzzle?