Ever since computers were invented, people have made up stories about how they'd one day become smarter than the humans that made them. While that seemed impossible with the first mega computers that had limited functional capabilities, the idea of an independent computer system is becoming more real with the development of AI.

AI, also known as artificial intelligence, has captured the fascination of people around the world. If it's developed correctly, it could be the next major technology transformation that the world undergoes. It would help many people and change lives, so what progress is being made? Recently, the Brain Simulator II was announced as a major step forward in the advancement of AI. Read on to learn more about this program and what it means for the tech community.

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A new study by management consultancy AT Kearney reveals that confidence is growing among C-suite executives that technology will help businesses navigate a complex and rapidly changing environment.

In an age of increasing automation and artificial intelligence (AI), leaders recognize the differentiating role of non-technical and interpersonal skills such as creativity and leadership -- skills that are not only difficult to find but also expected to become even more important. 42 percent for example say that creativity and innovation skills are hard to find.

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There's been a fear of automation in the workforce as far back as work has existed. Machines taking jobs away from the people who need them has been and will continue to be a source of anxiety for many.

Though it may seem like a reasonable fear, it's far from reality. Yes, machines are capable of a growing number of increasingly complex tasks, but not every job is at risk of disappearing. Machines can handle menial labor and difficult calculations, but work that requires critical thinking skills is impossible to automate. Things might be different in the movies, but the machines that exist in real life learn through patterns and repetition. There are some jobs where automation doesn't enter the picture at all. So where's the line?

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In the 1979 cult-fiction novel, The Hitchhiker's Guide to the Galaxy, an enormous super computer named Deep Thought took 7.5 million years to conclude that "The answer to the ultimate question of life, the universe and everything is 42."

He may not have meant it, but what Douglas Adams wrote in 1979 was a portent to why so many questions are being asked about the practical use of AI in business. The recent explosion in AI technology has largely been driven by the availability of large quantities of data, the availability of sufficient computation power and the ever-increasing demand for data analytics to support business strategy. These strategies can be driven by greater efficiency by reducing operating costs or increasing revenue opportunity by improving customer service and product availability.

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AI and machine learning have demonstrated some impressive abilities in recent years, but the models behind the technology and the reasons why it came to the decision it did are often hard for the people interacting with it to understand.

In order to help people gain an insight into machine decision making, IBM Research is launching AI Explainability 360, a comprehensive open source toolkit of state-of-the-art algorithms that support the interpretability and explainability of machine learning models.

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There are few aspects of our everyday lives that don’t now rely on computers at some level. But does this reliance on technology mean that the machines are getting smarter than we are?

Server and network monitoring specialist CloudRadar has put together an infographic examining our reliance on technology.

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Microsoft is investing $1 billion in a multi-year partnership with OpenAI-- a company co-founded by Elon Musk three years ago.

The partnership will see Microsoft and OpenAI working together to build new Azure AI supercomputing technologies. Microsoft says that it will focus on building a platform to create new AI technologies and deliver on the promise of artificial general intelligence (AGI).

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Data center environments must stay consistent regarding things like humidity and temperature. Otherwise, the costly equipment inside them could begin malfunctioning. Moreover, data center clients want assurances that the valuable information stored within a facility will be available whenever they need it, and maintaining consistency comes into play there, too.

Here are four ways machine learning and artificial intelligence (AI) are upending data center management.

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New data from the Capgemini Research Institute reveals that 69 percent of organizations believe that they won't be able to respond to critical cyber threats without AI.

Over half (56 percent) of executives say their cybersecurity analysts are overwhelmed by the vast array of data they need to monitor to detect and prevent intrusion. In addition, the type of cyberattacks that require immediate intervention, or that cannot be dealt with quickly enough by analysts, have increased

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Artificial intelligence is appearing in more and more of our everyday technology. But it raises a number of questions about how it will react in challenging situations.

Security education comparison site Cyber Security Degrees has produced an infographic looking at the ethics of AI and how we feel about its impact on our lives.

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AI is popping up in all sorts of things at the moment, but what happens when it goes wrong or is used for questionable purposes?

A new report from Malwarebytes Labs looks at how AI is being used, with a particular emphasis on cybersecurity, and at the concerns that are growing surrounding its use.

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Primary schools, universities, companies and even all the rest of us have a role to play in preparing for the rise of AI in the workforce. So what can we do to make sure people are still employable as AI starts becoming more common in business settings?

Let's take a look at the work ahead of us.

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There has been a lot of hype around AI to the point where some people are simply tuning it out. I think this is a mistake. While there are limits to what AI can do, there also are sophisticated attacks that we’d miss without it.

The need for AI is driven by three fundamental yet significant changes in the enterprise computing environment.

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New research from threat detection specialist Senseon looking at the state of cyber security in SMEs reveals increasing uncertainty about whether the investment into the security solutions they’re currently using is worth the cost.

The survey also reveals that SMEs have been slow to implement AI solutions, despite the vast majority of SMEs surveyed (81 percent) thinking that AI will be fundamental to the future of cyber security.

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In 2019, cyber threats are occurring at a rapid pace. In fact, cyber attacks are the fastest growing crime globally and are continuously increasing in sophistication, size, and impact. At the same time, the number of qualified cybersecurity professionals is dwindling. In a recent blog post, Ann Johnson, the head of Microsoft’s cybersecurity solutions group, used estimated data from the research firm Cybersecurity Ventures to project a shortage of about 3.5 million qualified cybersecurity workers by 2022.

Artificial intelligence (AI) can serve as a helpful tool in cybersecurity. AI can help businesses of all sizes and across many industries better prepare for impending security threats. Here are three of the most impactful benefits of AI in online security:

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