How Far Are We From Achieving Artificial General Intelligence?

These days, when you browse the internet for news on artificial intelligence, you’ll find out about new AI that just managed to do something humans do, yet far better. Present-day AI can detect cancers better than human doctors, build better AI algorithms than human developers, and beat the world champions at games like chess and Go.

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The United Kingdom’s Role In The Future Of AI

The UK has played an important role in the history and development of AI. Alan Turing, a British mathematician, is considered to be the father of theoretical computer science and has deep roots in AI as well. In addition to crafting the foundations for modern computing, Turing envisioned the Turing test, which aims to determine a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.

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Does AI Really Matter?

Artificial intelligence has been around for many decades. However, In the past decade, interest and investment in AI have skyrocketed. In the past few years, companies and organizations in just about every industry and across the world are adopting a wide range of cognitive technology solutions spanning the seven patterns of AI with applications in finance, retail, automotive, healthcare, government applications and many more industries showing adoption.

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How Is AI Helping To Commercialize Space?

Even before modern computers became a reality, science fiction gave us a plethora of examples of artificial intelligence and smart robots in the context of outer space. From Hal in 2001: A Space Odyssey and the computer on Star Trek to C3PO and R2D2 in Star Wars and even the fantastic machines in Hitchhiker’s Guide to the Galaxy, it seems that AI and space go together.

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What the Field of Archaeology Can Teach Us About Responsible AI

“Forget everything you think you know about the ancient Minoan culture,” the historian said to me at the palace gates. The story she told me on that hot, dusty day in July has since been pressing on me, like a constant drumbeat -- a reminder of why our work in Responsible AI is so so unrestricted in importance by just the demands of the here and now. Let us take you on a journey so that you can understand the very direct correlation between what archaeology can teach us about our high tech field.

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How can AI be a Trustworthy Magic Mirror?

We have already jumped into the pool of AI innovation. Just to be clear, this isn't a human inventing the AI but the human-invented AI inventing something new. There have been interesting debates on the patentability of the “machine” inventor.

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Competing For The Future With Intelligent Agents... And A Confession

Creative Destruction – What Came Before What’s Coming Next

Prior to the beginnings of Internet-based e-commerce, the computer was essentially a filing cabinet, handling the affairs of the back office, programmed under the file clerk metaphor: capture, storage, and retrieval of records. Today, however, we are not only seeing Sun Microsystems’ early vision that the network is the computer, now we can observe that the network is the business!

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With AI At Hand, Don't Stop Learning!

In our modern world, tomorrows stretch before us in profusion. Our working lives could last for eight decades. Think of the implications. It was only 12 years ago that the first iPhone was released. Smartphones are everywhere now and we rely on them to an astonishing degree. Think what new technologies may emerge over another 70 years! No longer can we simply learn for a while, earn for a while, and then retire.

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Might AI Spell The Death Of Search?

Just think for a moment about how much online searching you do. Need to find a nearby Thai restaurant? Just type your query into the search engine and presto: You receive page after page of results listing eateries in your area offering Pad Thai. Need to know the forecast in Austin? Again, punch in your query and you will receive no shortage of pages offering three-day forecasts, five-days forecasts, even year-round averages.

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Parenting 101: How to train an AI System to DO GOOD

In this article, we propose to put those pattern recognizing neo-cortexes to work and make them discover the pattern to get the reward. When considering the development of an AI that is meant to mine insights on human behaviors (and then possibly make decisions based on those insights), there is one really critical ‘Parenting 101’ lesson to consider. Incentivize the behaviors you want to see more of in three steps: Replicate what works, MEASURE and REPEAT.

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Too much of a good thing can be a very bad thing—Technology’s Future

Why we must act now to ensure that exponential technological progress remains a benefit for humanity and the planet. Technology has undoubtedly been good to us. AI systems are now able to detect some forms of skin cancer at a higher rate of accuracy than human doctors. Robots perform ultrasound exams and surgery, sometimes with little to no human intervention. Autopilots fly and land planes in the most adverse conditions and may soon be able to steer personal air taxis. Sensors gather live data from machinery and their “digital twins” to predict upcoming failures or warn of crucial repairs. 3D printers are capable of spitting out spare parts, improving maintenance options in remote locations.

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Pop Culture, AI And Ethics

I am a major sci fi fan. Well, at least I thought I was until I went to my first Star Trek convention in my 20s and realized that I was in the minority of people who did not speak Klingon or know episode numbers, titles or dates. Science fiction inspires technologists every day. Most recently, I have become inspired by Black Mirror, a show originally aired by the BBC and now offered on Netflix. The brainchild of Charlie Brooker, Black Mirror is the Twilight Zone for our times, giving us a glimpse as to how technology trajectories can be used to affect society in unintended ways in the coming decades.

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No-code/low-code: Why you should be paying attention

We’ve all been hearing the hype lately about low-code and no-code platforms. The promise of no-code platforms is that they’ll make software development just as easy as using Word or PowerPoint so that the average business user can move projects forward without the extra cost (in money and time) of an engineering team. Unlike no-code platforms, low-code platforms still require coding skills but promise to accelerate software development by letting developers work with pre-written code components.

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