Today’s Trending Artificial Intelligence

Today's Trending Artificial Intelligence
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Artificial intelligence : Today’s Trending Artificial Intelligence

 Today’s Trending Artificial Intelligence (AI), the ability of a digital computer. Computer-controlled robot to perform tasks commonly associated with intelligent beings.

 The term is frequently applied to the project of developing systems endowed. The intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.

 Since the development of the digital computer in the 1940’s. It has been demonstrated that computers can be programmed to carry out very complex tasks – as. For example, discovering proofs for mathematical theorems or playing chess – with great proficiency.

 Still, despite continuing advances in computer processing speed and memory capacity. There are as yet no programs that can match human flexibility. Over wider domains or in tasks requiring much everyday knowledge.

 On the other hand, some programs have attained the performance levels of human experts. Professionals in performing certain specific tasks. So that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis. Computer search engines, and voice or handwriting recognition

What Is Intelligence?

 Today’s Trending Artificial Intelligence, All but the simplest human behavior is ascribed to intelligence. While even the most complicated insect behavior is never taken as an indication of intelligence.

 The real nature of the wasp’s instinctual behavior is revealed. If the food is moved a few inches away from the entrance to her burrow. While she is inside: on emerging, she will repeat the whole procedure as often as the food is displaced.

 Intelligence – conspicuously absent in the case of Sphex. Must include the ability to adapt to new circumstances.

 Psychologists generally do not characterize human intelligence. Just one trait but by the combination of many diverse abilities.

 Research in AI has focused chiefly on the following components of intelligence. Learning, reasoning, problem solving, Perception, and using language.

Learning : Today’s Trending Artificial Intelligence

 There are a number of different forms of learning as applied to artificial intelligence.

 The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found.

 The program might then store the solution with the position so that the next time the computer encountered. The same position it would recall the solution.

 This simple memorizing of individual items and procedures – known as rote learning. It is relatively easy to implement on a computer.

 More challenging is the problem of implementing what is called generalization.

 Generalization involves applying past experience to analogous new situations.


 Today’s Trending Artificial IntelligenceIn the near term, the goal of keeping AI’s impact on society beneficial economics motivates. Research law to in many technical areas, topics from such as verification, validity, security and control.

 Whereas it may be little more than a minor nuisance if your laptop crashes or gets hacked. It becomes all the more important that an AI system does. What you want it to do if it controls your car. Thus your airplane, your pacemaker, your automated trading system or your power grid.

 Another short-term challenge is preventing a devastating arms race in lethal autonomous weapons.

 In the long term, an important question is what will happen if the quest for strong AI succeeds. An AI system becomes better than humans at all cognitive tasks.

 As pointed out by I.J. Good in 1965, designing smarter AI systems is itself a cognitive task.

 Such a system could potentially undergo recursive self-improvement, triggering an intelligence explosion leaving human intellect far behind.

 By inventing revolutionary new technologies, such a super intelligence might help us eradicate war, disease, and poverty. So the creation of strong AI might be the biggest event in human history.

 Some experts have expressed concern, though, that it might also be the last. Unless we learn to align the goals of the AI with ours before it becomes super intelligent.

 There are some who question whether strong AI will ever be achieved. Others who insist that the creation of super intelligent AI is guaranteed to be beneficial.

 At FLI we recognize both of these possibilities. But also recognize the potential for an artificial intelligence system to intentionally or unintentionally cause great harm.


 Most researchers agree that a super intelligent AI is unlikely to exhibit human emotions like love or hate. That there is no reason to expect AI to become intentionally benevolent or malevolent.

 To simply “turn off,” so humans could plausibly lose control of such a situation.

 This risk is one that’s present even with narrow AI. But grows as levels of AI intelligence and autonomy increase.

 The AI is programmed to do something beneficial, but it develops a destructive method for achieving its goal. This can happen whenever we fail to fully align the AI’s goals with ours, which is strikingly difficult.

 If you ask an obedient intelligent car to take you to the airport as fast as possible. It might get you there chased by helicopters and covered in vomit. Doing not what you wanted but literally what you asked for.

 If a super intelligent system is tasked with a ambitious re-engineering project. It might wreak havoc with our ecosystem as a side effect. View human attempts to stop it as a threat to be met.

 As these examples illustrate, the concern about advanced AI isn’t malevolence but competence.

 A super-intelligent AI will be extremely good at accomplishing its goals. If those goals aren’t aligned with ours, we have a problem.

 You’re probably not an evil ant-hater who steps on ants out of malice. But if you’re in charge of a hydroelectric green energy project. There’s an anthill in the region to be flooded, too bad for the ants.

 A key goal of AI safety research is to never place humanity in the position of those ants.

INTEREST IN AI SAFETY : Today’s Trending Artificial Intelligence

 Stephen Hawking, Elon Musk, Steve Wozniak, Bill Gates. Many other big names in science and technology have recently expressed concern in the media. Via open letters about the risks posed by AI, joined by many leading AI researchers.

 The idea that the quest for strong AI would ultimately succeed. It was long thought of as science fiction, centuries or more away.

 However, thanks to recent breakthroughs, many AI milestones. Which experts viewed as decades away merely five years ago, have now been reached. Making many experts take seriously the possibility of super intelligence in our lifetime.

 While some experts still guess that human-level AI is centuries away. Most AI researches at the 2015 Puerto Rico Conference guessed that it would happen before 2060.

 FLI’s position is that our civilization will flourish as long as we win. The race between the growing power of technology. The wisdom with which we manage it.

 In the case of AI technology. FLI’s position is that the best way to win that race is not to impede the former. But to accelerate the latter, by supporting AI safety research.

TOP MYTHS ABOUT AI : Today’s Trending Artificial Intelligence

 A captivating conversation is taking place about the future of artificial intelligence and what it will/should mean for humanity.

 There are fascinating controversies where the world’s leading experts disagree, such as: AI’s future impact on the job market; if/when human-level AI will be developed; whether this will lead to an intelligence explosion; and whether this is something we should welcome or fear.

• But there are also many examples of boring pseudo-controversies caused by people misunderstanding and talking past each other.

• To help ourselves focus on the interesting controversies and open questions. Not on the misunderstandings – let’s clear up some of the most common myths.

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