As a teenager in Nigeria, I tried to build an artificial intelligence system. I was inspired by the same dream that motivated the pioneers in the field: That we could create an intelligence of pure logic and objectivity that would free humanity from human error and human foibles. I was working with weak computer systems and intermittent electricity, and needless to say my AI project failed. Eighteen years later--as an engineer researching artificial intelligence, privacy and machine-learning algorithms--I'm seeing that so far, the premise that AI can free us from subjectivity or bias is also disappointing. We are creating intelligence in our own image.

In recent times, these words have created a hype which is undoubtedly due to the fact that human history and interaction are ultimately going to be altered in no mean terms by these concepts. The end of this article is to simply bring light to this seemingly technical world which would affect us positively if we understand and make use of the advantages it comes with. Big data basically refers to data sets that are so large in multiple varieties (example videos and images) and comes at such a speed that it is virtually impossible to use the traditional data processing applications to handle them. Every day, data is being generated in various ways and forms through devices, sensors and new technology platforms. Due to the nature of collection, it is often unstructured, however big data encompasses all data whether structured, semi structured or unstructured.

The global insurance industry will grow more strongly than the global economy in 2018 and 2019, Munich Re predicts in its latest outlook. "This year and next, we expect global premium to grow by more than €460 billion in all. This is equivalent to average annual premium growth of 5.3% (in real terms, i.e., adjusted for inflation: 3.7%), whereas global GDP is expected to grow by only 4.9% (3.3% in real terms). Life insurance, in particular, looks set to return to strong annual premium growth of 5.6% (3.9% in real terms) after a weak 2017. Property-casualty insurance is benefiting from the currently favorable economic environment. In this segment, we are expecting annual growth rates of close to 5% (3.3% in real terms). Emerging countries are the primary growth drivers, but somewhat stronger growth rates in high-volume industrialized countries are also contributing to this positive development."

Tokyo: The government of Japan is planning to introduce English-speaking Artificial Intelligence (AI) robots in classrooms to help children improve their English speaking skills, considered one of the worst in the world. The Japanese education ministry would be launching a pilot programme to test the effectiveness of the initiative in April 2019, reports Efe news. The initiative will be initially rolled out in 500 schools throughout the country with the aim of fully implementing it in two years, public broadcaster NHK reported Saturday. The programme also includes study apps and online conversation sessions with native English speakers. Japan has proposed improving English skills ahead of the surge in tourists expected during the 2020 Summer Olympics in Tokyo.

In Nigeria (and Africa), the proliferation of artificial intelligence is very much still in its infancy thanks to several problems ranging from a lack of adequate infrastructure to cultural and socio-economic barriers to adoption. But that doesn't mean Africa is taking a backseat and'unlooking'. As far back as 2008, South African company BrandsEye was already using a proprietary mix of search algorithms, crowdsourcing and machine learning to mine online conversations for sentiment and provide that data to enterprise customers. Also, Egyptian startup Affectiva, launched in 2009 by Rana El Kaliouby, uses emotion recognition to detect moods and make decisions based on facial expressions and has raised $34 million in venture capital till date. In Nigeria, the space is heating up, slowly but surely.

Ibrahim al-Asiri is seen in these images supplied to Yemeni police as part of a terror suspect handbook. A top Al Qaeda bomb maker who masterminded a plot to bring down an airliner over Detroit on Christmas Day 2009 was killed in a U.S. drone strike in Yemen last year, a senior U.S. official told Fox News Monday. The Associated Press previously reported that Ibrahim al-Asiri was dead, citing a tribal leader and an Al Qaeda-linked source who said that he was killed in the governate of Marib in eastern Yemen. The tribal leader said that al-Asiri was struck by the drone, along with two or four of his associates, as he stood beside his car. Al Qaeda itself has remained silent about its top bomb maker.

As a teenager in Nigeria, I tried to build an artificial intelligence system. I was inspired by the same dream that motivated the pioneers in the field: That we could create an intelligence of pure logic and objectivity that would free humanity from human error and human foibles. I was working with weak computer systems and intermittent electricity, and needless to say my AI project failed. Eighteen years later -- as an engineer researching artificial intelligence, privacy and machine-learning algorithms -- I'm seeing that so far, the premise that AI can free us from subjectivity or bias is also disappointing. We are creating intelligence in our own image.

In recent times, these words have created a hype which is undoubtedly due to the fact that human history and interaction are ultimately going to be altered in no mean terms by these concepts. The end of this article is to simply bring light to this seemingly technical world which would affect us positively if we understand and make use of the advantages it comes with. Big data basically refers to data sets that are so large in multiple varieties (example videos and images) and comes at such a speed that it is virtually impossible to use the traditional data processing applications to handle them. Every day, data is being generated in various ways and forms through devices, sensors and new technology platforms. Due to the nature of collection, it is often unstructured, however big data encompasses all data whether structured, semi structured or unstructured. The measure of what is considered big data keeps growing, as data keeps being collected.

We've entered an age of Artificial Intelligence (AI) and while many people are still getting used to the idea of AI, education institutions have already started a rollout as part of the curriculum. For years, we've adapted to the traditional way of learning, but today the contemporary classroom has become more digitized with the exploitation of artificial intelligence within schools and teaching students how it is used in the workplace to close the digital skills gap. The future of learning with AI, and other technologies, should be aimed not only at learning subject content but also at cultivating curiosity, creativity, and resilience in students. The ethical development of these kinds of innovations will require both teachers and students to have a robust understanding of how to work with data and AI to support their participation in society and across professions. In the field of artificial intelligence, the possibilities are truly endless.

A large yet tidy refugee camp rises from the desert near the Syrian-Jordanian border. Most people wouldn't think of this as a hub of innovation, but nevertheless, a science and technology show has arrived with cameras and microphones. They're interviewing officials from UNICEF who describe the techniques they developed to safely remove sewage from the camp. Another week, and the cameras arrive in Stockholm to watch a new type of drone make its way through a dark tunnel. The show in question is 4Tech, a program on the BBC Arabic that since 2011 has attracted viewers in a market dominated by glitzy Arab versions of reality shows like "The Voice" and "Who Wants to Be a Millionaire."