The 4th industrial revolution and Neural Networks are changing everything

Me

The 4th industrial revolution has changed everything. We have moved from the time that was just as difficult and dangerous, to a time where the risks of a nuclear war could be low enough to justify taking a risk. It is the only time we could think about that we all could be saved. Just to show you a glimpse into the future, I generated this article with an open source tool by Open AI neural network, in literally 15 minutes. I simply entered a sentence and the neural network took that sentence and created a full body of text, 2 to 3 paragraphs long instantly. This is very impressive because of it's fairly sophisticated responses and iterations of the initial input sentence. Further, the type of relevant material it is able to articulate in a human-like research effort. Enjoy.

Neural Network

When I first met the young man at the airport who had come looking for me, I got nervous. After being with him for a bit longer, I realized that this was the right guy to be around in my situation. As I saw his calm and steady manner in the face of the crisis in the situation he and I, came out of. From there we got connected and the conversation started to take place. He told me about what he was going through and how he was getting through it. We sat down and talked about what he was going through over his life, both personally and professionally. He had many personal struggles in his life, so I just wanted to help him out.

Neural Network

Our conversation was about the risks we are taking with this technology that we've made and that is opening up an enormous potential for us in the 21st century. I saw an opportunity for a partner to work with us. We have been building coalitions, partnerships, intermediary partnership agreements, teaming agreements for the last 15 years and we are still building it today.

Me

Artificial intelligence, like any other kind of technology, will face a number of challenges during its lifetime. But I don't believe that these will prevent or defeat any artificial intelligence. Artificial intelligence will inevitably have to learn to deal with these challenges, and to adapt to the needs of its users as well as the demands of its surroundings.

Neural network

I am optimistic regarding the future, and believe that artificial intelligence will take many steps forward throughout its life and in its technological evolution. However, its progress will be made at a human-level, and its development will be limited. My hope is that it will not just be limited to solving problems like speech and language comprehension, but will also be able to learn how to recognize things which are similar to human beings, and how to interpret and understand the things which are not humans, such as objects (artificial and human-made) which are not similar enough, and the world and its objects, as well as other people. 

Me

Imagine, at this very moment, a neural network is dictating the words in this article. That's how far we have come with AI. What about General AI?

Neural Network

I want to say a few words about how general Artificial Intelligence will be presented in the article. The article is not intended to go into the specific topics of the debate today. The aim is to be a general overview of general methods of thinking about AI as well as an introduction to the ideas and people involved in the debate, to make some important points on the topic and to have some fun with it! This is something a little different from my usual work: there is no aim of presenting a single view of what AI is, but rather of presenting an overall view and of presenting different views of why they differ, thus creating a diversity of opinion. I hope this can be a fun project, a useful one nonetheless. I hope there will be a lot of new voices in AI and in AI philosophy, which would be useful to the debate!

This article is also not intended to be the end of the debate. There will obviously be many other articles that focus on different areas of the General Artificial Intelligence debate.The article will aim to shed some light on the underlying philosophical principles and concepts underlying the debate as it currently stands and will also help shed some light on the current state of play. I believe that the best way to deal with these debates would be to provide our own, highly detailed, and concise, response to every statement made in the "mainstream" media. With these documents in hand I believe we can then develop a more coherent and more informed response to the many questions asked about AI by the public as a whole through the media on a daily basis. The reason I am writing this is because I believe that there is potential for a very broad and balanced exploration of each area within the debates concerning the current state of the art of Artificial Intelligence. 

My belief is that by taking a long, clear and careful look at the various issues that are often raised in the field of General Artificial Intelligence, we can better understand each area and perhaps work towards a more open and inclusive solution that encourages creativity, innovation and scientific integrity – all of which are vital to the ongoing survival of humanity."

Neural Network

"For the UK, a focus on collaborative efforts amongst the UK's leading academic research firms, and the wider community of AI developers and users, will be required." The report – titled The Road Ahead for AI Research in 2018 – is intended for industry stakeholders and the government. It is to be published at the end of next September after its release by AI research groups. Dr James Witherow, executive director of the Institute for Advanced Study (IAS), said the report was significant in that it set out what future opportunities lay for the field.

"This is one of the first major assessments of the state of AI research in the UK in general, and for the artificial intelligence sector in particular," he said.

"The IAS report shows much promise for advancing AI applications beyond the current research paradigm and we applaud the government for making AI the central goal of the new National Research Council (NRC). This will bring new ideas and potential technologies to the UK science and research community."

Robots are currently being used to help out at farms, and as part of this new initiative, the government has also committed to developing robotics for other "critical sectors", especially in manufacturing. The report also points to "huge investment opportunities in healthcare" but says these are "likely to remain in medicine and medical research, rather than new sectors for robotics."

"It is clear that the UK has already been a leading pioneer in the field" of robotics research, the report concludes. "But the UK has very different priorities to the rest of the world, and the challenge facing the UK in the coming years cannot be tackled by UK-funded research alone."

"UK research must keep pace with developments elsewhere to ensure the UK remains a world leader in its fields." The government also must do more to engage and support its international students, it will be concluded.

The new research suggests that in the coming years, students are likely to be drawn from a number of international locations as they study overseas. The number of international students is predicted to increase from 1.4 million students in 2010/11 to 4.8 million in 2020/21.

However, the report does also suggest that the number of international students will likely decline in the next four years. The UK's position in international research in fields other than computer science - which includes social science and humanities - will deteriorate over the next 10 years, the report suggests.

The report predicts computer science to continue to provide the bulk of study in the UK, with engineering and information technology (IT) providing a bigger share from 2013 to 2020. The report also highlights that the numbers of international students studying maths, statistics and science fields will begin to decrease, while there will be less international students studying computer science. Computer Science - the top courses The chart below shows the proportion of students taking GCSE computer science. Chart by the Student Censorship Society. The report says the numbers of international students would be "disappointing" if they had no impact on the number of graduates.

There will be more fewer students from overseas taking GCSE computer science - but their numbers will continue to rise, the report reckons. Some 5 per cent of recent international students studied abroad, including three per cent of those with A* or A grades compared to five per cent last year and five per cent four years ago. The number on A*-level was five per cent, a fall of 10 percentage points since the second year.

The figures show an increase in the number of overseas international students from Singapore. The rise is the biggest since 2011, although it is still less than double the increase recorded in 2007, the peak year when more than 40,000 international students studied in the UK. The growth in the number of international students is driven by new countries including Poland, Russia - and the former Soviet Union. Students from these countries, which are expected to grow in numbers, come primarily from the EU, Japan, China and the USA.

Foreign students were the most common origin of EU students in 2015. The trend has now reversed in recent years.

This article was created by a neural network, and citations from relevant works related to AI and technology innovation, an open source capability at what I describe as tier-2 AI capability to give a glimpse into the future. Imagine where this can take your imagination, applicable to constellation of models across all industries.