The major factors driving the artificial intelligence in manufacturing market are the increasing usage of robotics in manufacturing, usage of big data technology in the manufacturing sector, computer vision technology being used in manufacturing, and industrial IoT in manufacturing sector. Reluctance among the manufacturers to adopt AI-Based technologies are the major factors that may hinder the progress of the artificial intelligence in Manufacturing market in the near future. Additionally the growth opportunities of AI-Based technology in emerging and developed countries and more over improving operational efficiency of manufacturing plants are some of the major growth opportunities for the artificial intelligence in Manufacturing market players. Geographically, the artificial intelligence in Manufacturing market has been bifurcated into five regions North America, Europe, Asia Pacific, Middle East & Africa and Latin America. The Artificial Intelligence in Manufacturing market size and forecast period for each region has been estimated from 2017 to 2023.

Role of Artificial Intelligence in FinTech is getting more and more importance. AI is actually innovating the whole of traditional FinTech. We will discuss in detail about AI role in FinTech's discoveries, inventions and innovations. It was big and very important event for the FinTech and Banking industry in Khartoum Sudan. The opening speech was done by Sudan central bank officials which was the main attraction.

Owura Kwadwo Hottish illustrates a window of Microsoft Word using colored chalk on a blackboard. He uses it to teach computer skills to students at the Betenase M/A Junior High School in Kumasi, Ghana. Owura Kwadwo Hottish illustrates a window of Microsoft Word using colored chalk on a blackboard. He uses it to teach computer skills to students at the Betenase M/A Junior High School in Kumasi, Ghana. Could you teach computer class without a computer?

Paul Allen is pouring more money into artificial intelligence research. The Microsoft co-founder on Wednesday announced Project Alexandria, a new initiative that aims to help develop "common sense AI." Allen is committing $125 million over the next three years to the project, housed at the Seattle-based Allen Institute for Artificial Intelligence (AI2). The money will go toward Project Alexandria, as well as other work being done at AI2. AI research has seen exponential advancements over the past decade, but machines are still incapable of certain types of problem solving or dealing with unpredictable situations. "When I founded AI2, I wanted to expand the capabilities of artificial intelligence through high-impact research," Allen said in a statement. "Early in AI research, there was a great deal of focus on common sense, but that work stalled. AI still lacks what most 10-year-olds possess: ordinary common sense. We want to jump start that research to achieve major breakthroughs in the field."

An illustration shows what the earliest stars in the universe might have looked like. Stars are our constant companions in the night sky, but seas of twinkling lights weren't always a feature of the cosmos. Now, scientists peering back into deep time suggest that the earliest stars didn't turn on until about 180 million years after the big bang, when the universe as we know it exploded into existence. For decades, teams of scientists have been chasing--in fact, racing--to detect the signatures of these first stars. The new detection, from a project called EDGES, is in the form of a radio signal triggered when light from those stars began interacting with the hydrogen gas that filled primordial empty space.

Count Bill Gates as part of the growing camp of Hyperloop skeptics. Billionaire tech mogul Elon Musk has gotten closer to making his radical, pod-based transportation system a reality. But the Microsoft co-founder has cast some doubt on whether or not Hyperloop, which promises to ferry passengers hundreds of miles in a matter of minutes, will actually work. 'I am not sure the Hyperloop concept makes sense,' Gates said Tuesday during a question and answer session on Reddit. 'Making it safe is hard,' he added.

Wrinkles, crow's feet and laughter lines could become a thing of the past thanks to 3D modelling. A computer programme has developed that looks at how the upper layers of the skin fold to form wrinkles. It found that drier skin plays a major role in the development of the unwanted signs of ageing. By looking at how the wrinkles form in the first place, researchers hope to develop treatments to remove the unwanted creases. 'Besides its critical physiological functions as a biochemical barrier, this very thin layer plays a key role in determining the characteristics of skin micro-wrinkles, even in younger people,' said Dr Limbert.

Eliminating poverty is the number one goal of most countries around the world. However, the process of going around rural areas and manually tracking census data is time consuming, labor intensive and expensive. Considering that, a group of researchers at Stanford have pioneered an approach that combines machine learning with satellite images to make predicting poverty quicker, easier and less expensive. Using this machine learning algorithm, the model is able to predict per capita consumption expenditure of a particular location when provided with it's satellite images. The algorithm runs through millions of images of rural regions throughout the world. It then compares the presence of light in a region during the day and at night to predict it's economic activity.

Companies generate massive amounts of data, and this will rise exponentially as new computers and sensors are connected to the system. This huge amount of data is unusable if companies do not know how to manage it and transform it effectively. Multinational computer technology corporation Oracle forecasts 2018 will be the year when laggards will finally make the move to cloud, late adopters of big data will see immense benefits straight away, and those using artificial intelligence (AI) will drive the most insights. Samina Rizwan, Oracle senior director for big data and analytics for Middle East and Africa, says Oracle has been in the business of big data since before it became the buzzword it is today. She says the conversation around big data should be expanded to include analytics, AI, the Internet of things (IOT) and machine learning (ML), all encapsulated in the cloud.

Future Tense is a partnership of Slate, New America, and Arizona State University that examines emerging technologies, public policy, and society. In late September, Egyptian authorities began a crackdown against the country's queer communities after fans of Mashrou' Leila, an outspoken Lebanese indie rock group with an openly gay band member, displayed a rainbow flag at the group's concert in Cairo. The government responded quickly in what some activists called the worst campaign against LGBTQIA Egyptians in decades. Security forces arrested more than 85 individuals on a range of charges, including "habitual debauchery." Officials convicted at least 16 and issued sentences ranging from six months to six years in prison (though a handful were later released).