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Today we will let you know how artificial intelligence will change the future. Sometimes you start work, and in a domino-like way, it gets going and going.

Its seemingly feeding off itself. Also, quickly moving in an almost unstoppable way. For instance, you might be close to those famous YouTube videos of a beaker. That will directly gush out foam when loaded with a special liquid. It is related to a type of chain reaction.

History shows that as the first creation of the atomic bomb. Some scientists included were concerned. What if the nuclear shell set off, it might start a chain effect. That is due to lighting a fission burst in the air and create a globally vast fire.

There is a venue today where researchers and scientists are bandying about a chain reaction phenomenon.

Do people usually ask what artificial intelligence is? How will it bring change to our world? Any vehemently say that we will likely have an AI intelligence explosion that will someday happen. There are many risks that this might occur around between 2050 to 2100.

To be fair, nobody knows. Honestly, it might be trash, and there will never be an AI intelligence burst, never. Or, there might be an AI intelligence blast. It will happen in 2500, far off in fate. None of us today will be about to see it happen. Except I assume, you soon find a wonder cure to end aging.

Perhaps those prognosticators are right. It will occur in the next 30 to 80 years. Get yourself alert. Lets get a closer glance at the claimed chance of an AI intelligence blast in any state.

Todays Artificial intelligences definitions are indeed not on a level with the human mind. The digitally based AI of modern times can do some very complex and exciting stuff. Yet, it is at best irrational AI. That can only run in short-range or areas. It needs any similarity of practical logic linked with human intelligence.

The real AI can unreservedly cross the Turing Test. A simple method for solving out if something shows intelligence. It is both popular and vile. Usually, it pointed to Artificial General Intelligence. There isnt any AGI now. Various efforts began to trade Artificial General Intelligence.

Heres the thing. Suppose we humans act to build AGI, the real AI. Yet, no matter how hard we work. No matter how strong we work at it. We finally dont reach the vaunted AGI alternatively, if you worry that real AI will choose to wipe us out or restrict us. For trick theories about how AI might end-up being our nemesis or be our best friend ever.

All right, lets think for the time that people dont have what it gets to make real AI. Does this imply that well always not have exact AI? Point to request the chain reaction idea. In theory, maybe we can do an enough intelligent AI mode. Hence, it then dives into an intelligence explosion. Thus, we didnt have to solve out what it takes to obtain AGI. Instead, we only wanted to put the proper Artificial Intelligence future mutually to spark the chain effect that would guide the right Artificial Intelligence.

You could tell that we might be ready to spark the arrival of real AI. Okay, maybe, we could design to have the chain effect. In which matter, kudos for being clever to solve that out. It can also be that we dont have any concept of how to reach the point of starting an intelligence chain reaction. Thus, our AI works just abruptly and suddenly get into an intelligence firestorm by its own choice.

If that comes to pass, it could result in a glance, in a moment, so fast. That we didnt even know it was occurring. Some accept it might be a more common issue, one that could get its time. Meantime, we might be looking in wonder as it opens. How far along might the AI intelligence burst run? Some think that artificial intelligence in computers will end when it enters the human brains full equivalent.

Why so? Because it stated that maybe humankind shows the highest possible skill. There isnt anything behind it. In contrast, another aspect is that the AI intelligence noise will rush right past the human brain. It will invade somewhere around so-called superintelligence. It is also known as referred to as ultra-intelligence.

One hope is that this AI will assuredly be behind our skill level. Yet, it will itself also have a limit or last edge to it. It wont be any amorphous knowledge that is all-absorbing. There are those, though, which implies the AI intelligence explosion might be an endless chain reaction. AI intelligence might keep running and running, growing wiser and wiser, doing so for the rest of infinity.

What would it mean for humankind if the AI data report was something that once started was ever-expanding? It can be helpful, or it can be not very correct. Maybe the AI brain that makes the AI skill with the AI super-duper mind. That allows superior AI intelligence, ad infinitum, and will keep getting better and better.

People argue in support of the negative effects of Artificial Intelligence skill issues. They are apt to ask what a next-level technology can believe, do, know, or state. That those of us with average intelligence cannot think, do, or form. The usual answer is that skill could probably solve cancer, solve world hunger. It can also explain how the world began. Again, honestly answer all nagging open issues and questions that humans, having only routine intelligence, have yet to solve.

A flourish is that it could be that our average skill. That is lacking. Even to know what future technology could think about anything. Thus, we dont know what a superintelligence. Let alone a super-duper mind could think of everything.

Its too far behind our pay class, as they say. We might be psychic ants in contrast. Maybe try to push us up the intellect stairs, or might select to grasp us as pets. Maybe on Earth, or perhaps lead us someplace else. It might guide us to new skills or choose we arent worth the stress and erase us. The AI skill would either allow our existence, maybe aid our living.

Are we maybe venturing too much by trying to achieve all advantages of Artificial intelligence explosion, possibly? There are two surfaces to such a coin. The AI skill might clear us out, an possible adverse result. Or save us by showing us how to be calm and co-exist with AI and with each other.

A base to the AI field on an AI intelligence explosion first published on paper. It was entitled Speculations Concerning The First Ultraintelligent Machine in 1965 by John Good Irving. The ultra-intelligent machine is well built. It will be the last discovery that man needs make since it will lead to an intelligence explosion. It will unimaginably transform society.

Well, we did not reach there yet. Though many are working, you might get excited. Some read those notes in differing ways.

For instance, the rise of an AI skill would be the last discovery. That humans needs make is open to shifts in meaning.

Such as:

A different added twist is whether we might get tangled with the AI skill.

Here is the plan. If the AI grows super-intelligent, perhaps this will rub-off on people. Think how sometimes when with someone else that is sensible, it boosts your intellect. You glum off or grasp or somehow expand your mind due to the interaction. Exposure to the other persons intelligence. Doesnt it seem logical to expect that if we did achieve AI skill, it would ergo inevitably lead to an increase in our intelligence as a species?

Imagine you assume that the mind has a strictly bounded intellectual skill. And if we are there now, the counter-argument is that the AI still cant arrange much on our physical barriers. Thus, we arent going to grow any further intelligence.

Maybe the AI skill could give us some study lids. It would grow our otherwise lacking and brain-constrained intelligence upon sitting on our head.

One extra quick point worth adding here is the alleged coming of something referred to as the AI singularity. The singularity is considered the time and energy at which AI grows sentient. You might be thinking that indeed, the curiosity must, therefore, be the point. You are going through the time of the AI skill explosion.

Perhaps, perhaps not. Imagine we dont have an AI intellect system and, in another way, reach curiosity by handcrafting AI to that level.

Another outline is that we do reach the deviation. At that time, the AI itself knows that theres more to be done. It somehow can spur or spark an intelligence explosion to further its evolution (which it chooses to do, at its choice). The basis is that the curiosity and the AI skill explosion are not certainly the same. Though they have many potential in-common touch-points, they arent necessarily conjoined. Though, despite this seeming apparent notion, some still argue they are most undoubtedly coexistent and co-dependent. In upcoming years, the world will get to know the artificial intelligence benefits to society.

Lets tally to this study the role of AI-based real self-driving cars.

Right self-driving cars are ones that the AI drives the vehicle wholly on its own. There isnt any person guide during the driving task. That is how artificial intelligence will change the future.

These driverless vehicles consider Level 4 and Level 5. In contrast, a car that requires a human driver to co-share the ambitious effort usually view at Level 2 or Level 3. The vehicles co-share the driving task. These also define as semi-autonomous. It typically contains many automatic add-ons that related to as ADAS (Advanced Driver-Assistance Systems).

There is not yet an exact self-driving vehicle at Level 5. We dont even know if this will be possible to achieve and how hard it will take to reach that point.

However, there is debate over whether this trial should permit or not. We are only life-or-death guinea pigs in research taking place on our highways and byways. Some point out).

For Level 4 and Level 5 decent self-driving cars, there wont be a personal driver needed in the driving duty. All tenants will be riders. AI is performing driving skills.

There is a lot there to talk about and argue about these things.

One aspect is that it shows unlikely that the AI self-driving wheels devised today will offer the AI intelligence explosion.

It makes up the whole extra discussion about whether the struggle to present the right AI self-driving machines. We need to discover and codify AGI or true AI. If that so, we might be in for a massive wait to view real self-driving vehicles.

All said, the idea of a mind explosion indeed seizes our vision. Study of the wonder we would all feel if self-driving cars suddenly started to have their AI driving modes provoke an intelligence explosion. They decided to be our car drivers no longer and instead become the drivers of our existence and future. It almost makes your head explode.

Read more:
How Artificial Intelligence Will Change The Future: AI in Self-Driving Cars - Techiexpert.com - TechiExpert.com

The ever-increasing adoption of AI-powered systems in all areas of the economy could either lead to potential discrimination against women or open up new career prospects. Lets find out what needs to be done to achieve the second scenario.

For years, there have been debates that artificial intelligence will change the labor market. Nowadays the focus has shifted from the inevitability of the future to an assessment of how and when the world will change and what it means for all of us. There have been several attempts to create AI, but Artificial General Intelligence the one portrayed in films and books is still a long way from being built. What do we have now?

There are many narrow smart algorithms that solve niche tasks and can find patterns in large amounts of data.They help to make decisions on, for example, whether a suspicious transaction should be stopped or allowed, where cargo should be sent, or whether a loan should be granted.The probability of a mistake in these systems is lower comparing to a human beings performance.Further development of algorithms capable of supplementing or replacing human decision-making will reduce the number of roles requiring routine decision-making, which are often taken on by women. It is already difficult to imagine a bright future of tour operators, taxi dispatchers, clerks, and some other professions. According to a forecast made by IMFresearchers, 11% of jobs held by women will be automated within the next two decades. The focus will also shift into designing these algorithms.

More and more decisions are made automatically and, sadly, not in womens favor. For example, two years ago Amazon, the largest online retailer in the world, was forced to dismiss an automated CV-reviewing system because it discriminated against female developers.This situation occurred because the data used to train machine learning models represented a hiring history for 10 years. At that time, the majority of candidates were male, but this does not prove that men are better at technical work.Considering that algorithms are becoming in charge of making an ever-increasing number of decisions, similar side effects can be an issue.

It is widely believed that algorithms just find patterns within an existing data set. However, focusing on data, it is easy to forget two aspects of this problem: the limitations of existing algorithms and, more importantly, the role of people who train them. Most algorithms just catch the correlation within the data, without understanding anything about it. Even the best data is meaningless as long as people who can solve problems and ask the right questions are not involved, so the algorithms will simply reflect our own biases.

Developers of AI systems must carefully monitor the way datasets are formed and track any biases that might occur.Mistakes made by the algorithm should be tracked: sometimes the percentage of errors is quite low, but they could be related to one group of people.For example, a scoring model systematically refuses to give loans to residents of Chinatown. Such behavior is particularly dangerous because we are shifting more and more responsibility for decision-making onto the system. Some advanced algorithms which are currently in use cannot even be interpreted; i.e. we are unable to understand why a certain decision has been made at all, or which factors influenced it.

Its interesting to note that the rise of computer science is strongly connected with women:Ada Lovelace created programming, Betty Holberton designed the first general-purpose computer, and Margaret Hamilton developed the software for the Apollo project.Today, only15% of specialists in the field of artificial intelligence around the world are women, which is disappointing for many advocates of gender equality.Some people worry that the future will be created by men for men.The presence of female analysts eases the situation since they can spot the problems with products that are not easy to discover if you dont face discrimination on a daily basis.

Women already spend a lot of energy ensuring that they are treated honestly and fairly. Perhaps a legal base is needed. Some regulatory bodies have already taken up this issue. For example, the EU General Data Protection Regulation (GDPR) requires companies to explain the reasons behind decisions made by AI systems and to monitor them to prevent any discrimination. Currently, only large companies and governments can afford the software and hardware required to launch the most advanced AI models. This barrier could be used to help set up some basic rules before the technology becomes widely used.

Many futurists are optimistic about womens chances of success. Why? The most valuable skills in this brave new world are those that algorithms cannot master: the use of soft skills and emotional intelligence. As such, 83% of organizations surveyed byCapgemini believe that emotional intelligence will be a prerequisite for success in the coming years. The new labor market will value compassion, multi-tasking, cooperation, and empathy traits that are traditionally associated with women, meaning that women will have greater chances of being hired. However, there is a nuance here. To succeed in an AI-ruled world, a great work of retraining and adaptation is necessary. After all, it will be not the strongest and intelligent that survives, it is the one that is most adaptable to change.

Extra risks for women will be caused by an inability to adapt.The new challenges of automation are added to conventional difficulties, creating barriers to gender equality. Nowadays there is a need for mobility and flexibility among employees as it is now easier to change profession, employer, industry, and even country than ever before. Women are often less mobile than men, because of their second job at home. Whats more, they are oftenexcluded from networking, which allows men to improve their skills, find mentors, and new employment opportunities.

On the other hand, companies will be more motivated to push their employees to develop skills that cannot be automated. If women are proactive and able to adapt, they will have more employment opportunities.Bear in mind that being good at something no one needs is the biggest waste of time. In the future, two categories of skills will be most important: the ability to negotiate and standing your ground, and the ability to see trends and build strategies.

Organizations need employees who can talk to both machines and people. Recently, technologies have been significantly democratised, meaning that you do not need a PhD to work with AI.Today is the best time to gain insight on the foundations of a technology which at first seems complicated, even if your profession is not connected with data analysis at all.

It would be useful for executives to at least make themselves comfortable with the methods of machine learning for analyzing different types of data. Such analysis will make it possible to assess use cases for AI implementation in a specific area and to build an effective strategy for digital transformation. A deep dive into the topic and acquisition of practical skills, such as programming and creating machine learning models, will be useful for those who spend a lot of time running routine analysis and who want to automate the decision-making process.

Implemented projects from industries that are more mature when it comes to AI adoption, such as IT companies, banks, and retailers, can be good sources of inspiration. Even such a conservative industry as manufacturing has started digital transformation programs for production optimization, for example, to forecast machinery breakdowns.

According toIDC forecasts, by 2021 AI systems will be implemented in one form or another at 75% of enterprises. So, the relevant skills will be required in almost all industries. Allocate an hour and watch a video on the principles of machine learning. Only by having a clear understanding of how it works, it is possible to ask the right questions and set goals. Knowledge of a few principles is more important than understanding detailed implementation ways for all algorithms in a software package.

Once you understand the basic principles, its important to understand which tasks are the most relevant for applying AI and to try delegating some responsibilities to the machine to increase the quality of work and performance. By studying successful scenarios of AI application, many people realize that this technology can be used for a wide range of processes and tasks that involve working with large amounts of data.Women should learn how to find prospective use cases for new technologies, have sufficient motivation to look for answers, and take under control their education and career.

Data analysis skills are relevant to a huge number of professions, from marketing experts to mechanics working with a CNC machine. For example, AI can identify anomalies in a technological process. Currently, there is a lack of personnel in data science and artificial intelligence space. The problem is so urgent that large companies are offering free platformsfor studying. After the training, you may not be able to perform as good as an experienced data scientist, but you will be able to translate a task from a business domain for the researcher, for example, regarding an analysis of CV-collection or even writing music.

According to the Institute of Electrical and Electronics Engineers, an international non-profit association of specialists in the field of computer science, The need for specialists in artificial intelligence has revealed itself in almost every area of life. Experts are urging for AI training for specialists in areas such as healthcare, agriculture, and logistics.

Conventional methods of working are rapidly becoming obsolete. Humanity has to choose once again: to lament about fate and talk about the rise of the machines or to get ready for the future and acquire the skills that are in demand. The Luddites have lost in their fight against the machines, simply because machines are economically efficient. And, as we know now, after all the number of jobs created thanks to the adoption of machines has been far greater than the number of jobs gone.

The most insightful employees were not afraid of industrialization, and made use of and reaped the benefits of new technologies. So, why cant women do the same?

See the rest here:
Artificial Intelligence and Discrimination: To Be or Not To Be? - IoT For All

Description:

The Barcelona Institute for Global Health (ISGlobal) is a cutting-edge institute addressing global public health challenges through research, translation to policy and education. ISGlobal has a broad portfolio in communicable and non-communicable diseases including environmental and climate determinants, and applies a multidisciplinary scientific approach ranging from the molecular to the population level. Research is organized in three main areas, Malaria and other Infectious Diseases, Child and Maternal Health, and Urban Health, Climate & Non-Communicable Diseases. ISGlobal is the first global public health centre to have received the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.

What we are looking for:

We are seeking a postdoctoral researcher to join the new Biomedical Data Science Research Group of Dr. Paula Petrone at ISGlobal, created in the framework of the Severo Ochoa Program, with the vision of leveraging data analytics and artificial intelligence to improve health care outcomes. This is a unique opportunity for a motivated data scientist to contribute to the digital transformation of biomedicine and carry out research that has social impact and responds to unmet medical needs.

The postdoctoral researcher will develop novel research that applies advanced analytics and machine learning approaches to biomedical data and real-world evidence, IoT and digital therapeutics, bioinformatics and health informatics. An ambition of this team is to implement predictive modelling as well as explainable AI methods to understand disease drivers leading to early disease diagnosis.

Previous experience in the biomedical field is not a requirement but highly desirable. Interest is additionally expressed for candidates with demonstrated experience in at least one of the following topics: bioinformatics, health informatics, medical imaging, computer vision, machine learning, natural language processing, deep learning and explainable artificial intelligence.

Main duties:Development of data science models to predict and to understand human health and disease, to augment clinical decision-making and guide the development of new therapies and diagnosticsCarry out high-quality research independentlyHelp develop robust model training and data infrastructure to support collaborative data science projects at ISGlobalPublish research results in scientific journals and in national and international conferences.

Competences:

Candidates are expected to:

Conditions:

Read more here:
Postdoctoral researcher in Biomedical Data Science and Artificial Intelligence Female candidates are encouraged to apply - ReliefWeb

Today, artificial intelligence (AI) applications are reshaping large and small companies products, services, and business models. Decision makers need to make critical hardware and software choices to achieve AI strategy success. As smaller firms to global enterprises assess their business cases and work flows the need for highly-scaled servers and cloud platforms are no longer the only option to build a successful AI infrastructure.

The study results summarized in this white paper, Using Workstations To Reshape Your Artificial Intelligence Infrastructure, show that firms are already using workstations to lower the cost, increase the security, and speed up their AI infrastructure. The addition of workstations into a firms AI workflow allows servers and cloud platforms to be tasked with business cases that require more robust computing while workstations take on tasks with longer time frames and smaller budgets.

Download this white paper, Using Workstations To Reshape Your Artificial Intelligence Infrastructure, to read more about how highly-scaled servers and cloud platforms are necessary to run applications that must be run at top speed and where cost is not a barrier. However, workstations provide excellent support for applications where data security is a priority but where timelines are more flexible or cost is a major consideration.

Originally posted here:
Using Workstations To Reshape Your Artificial Intelligence Infrastructure - insideHPC

I bought my first robot from a Boston-based gadget shop back in 1986, right after completing my studies at Harvard and ready to head back to Saudi Arabia. After landing at an airport in Jeddah and going through customs, it was such a struggle trying to explain to officials why I was bringing a meter-high robot.I had to declare that it was a toy for my younger brother Hattan. For years, among my family and friends, that robot was the most talked about, entertaining, exciting and heavily used piece of furniture at my Jeddah residence.Now, using technology is becoming an important part of our daily lives. Artificial intelligence (AI) became a pillar of the Vision 2030 reform plan when the official announcement was made about the creation of NEOM at the Future Investment Initiative summit a few years back. It is anticipated that NEOM will be a high-tech, renewable-energy city with more robots on the ground, including self-driven cars, than humans.Recently, Saudi Arabia announced its National Strategy for Data and AI at the Global AI Summit, hosted in Riyadh with virtual links to a global audience. The strategy was announced by Saudi Data and AI Authority President Dr. Abdullah bin Sharaf Al-Ghamdi, who spoke on behalf of Crown Prince Mohammed bin Salman.The new strategy will focus on bridging the skills gap, stimulating the market through research and innovation and utilizing applications of AI for government and private-sector agencies.As Saudi Arabia leads the G20 this year with the economic impact of the coronavirus disease (COVID-19) at the top of its agenda, AI is an imperative component for G20 economies future plans. With decision-makers in both public and private sectors involved in fighting the pandemic, using technology in health care, especially in the field of biopharma research and development, will be critical for dealing with the pandemic successfully in the long term.On the other hand, it is worth noting that the speed and scale of the transformations likely to result from AI and associated technologies may create bothopportunities and social challenges. Saudi Arabia could harness these technologies to improve public sector efficiency. Also, savvy investments will boost its sovereign wealth assets and income in the long term. However, there are risks that these technologies may lead to high levels of structural unemployment among citizens.In my opinion, as the Kingdom is planning to be one of the top AI global pioneers by 2030, one thing to agree about is that technology in general, and AI in particular, will be at the center of the future normal.AI will eventually make our lives easier, more intelligent, efficient and safer in terms of health care, mobility, traveling, documentation and other daily activities. But to what degree it will impact human capital employment remains to be seen.I do not know when I will be buying my next robot. I am sure the new one will be far more user-friendly and intelligent than the first one I bought. The only question is: Will it replace the support staff at my residence?

Basil M.K. Al-Ghalayini is the chairman and CEO of BMG Financial Group.

Disclaimer: Views expressed by writers in this section are their own and do not necessarily reflect Arab News' point-of-view

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Will artificial intelligence in KSA be the future normal? - Arab News