Artificial intelligence

 

الذكاء الاصطناعي - ما هو الذكاء الاصطناعي؟

لقد كان الذكاء الاصطناعي أو الذكاء الاصطناعي كما يشار إليه عمومًا ، موجودًا منذ الأيام الأولى لأجهزة الكمبيوتر والبرمجة عندما بدأ المبرمجون في إنشاء برامج يمكنها التفكير واتخاذ القرارات بناءً على المعلومات التي تم تقديمها لهم. لكن في السنوات الأخيرة ، أدى التقدم السريع في قوة المعالجة إلى قفزات هائلة فيما يمكننا القيام به باستخدام الذكاء الاصطناعي ، مما دفع الكثير من الناس إلى التساؤل - ما هو الذكاء الاصطناعي؟ الجواب ليس بهذه البساطة التي كانت عليه في السابق ...

أساسيات الذكاء الاصطناعي

The terms artificial intelligence and machine learning are thrown around a lot these days. The two terms are closely related to each other, but they aren't interchangeable. Artificial intelligence refers to a machine's ability to learn and analyze information using various forms of pattern recognition or data analysis; it refers specifically to software that exhibits these characteristics. Machine learning is broader, referring not only to software but also hardware as well as algorithms for making decisions based on analyses of previously collected data sets. In short, artificial intelligence focuses on software, while machine learning also includes elements of hardware and algorithms (for making decisions).

Do Machines Think Like Humans?

No. But they can process information like humans do, and that makes a huge difference in what they can learn and how they function. It's called machine learning, and it's one of many reasons why we should be thinking differently about artificial intelligence than we did 20 years ago. Today's computers are generally designed to process specific data in a pre-determined way -- we set them up to complete a task based on existing human knowledge (we call these systems expert systems). So, for example, if you feed IBM Watson thousands of recipes from Bon Appetit magazine, you'll get back great suggestions for meals with potential substitutions for any ingredients you don't have on hand.

Is AI The Future of Everything?

Artificial Intelligence, or AI, refers to any technology that emulates human behavior. That definition might sound a little open-ended—how do you emulate something as complex as human behavior? Well, these days, there are lots of different ways! Many people think about AI in terms of chatbots or smart assistants like Siri and Alexa. These technologies can have very practical applications—they can make our lives easier by helping us get through mundane tasks faster—but it’s important to remember that they don’t just happen overnight. Artificial intelligence has been part of our culture for decades. When you talk to your phone and watch Star Trek on TV, you're experiencing it.

What's An Artificially Intelligent Computer Program?

A computer program, which at a high level of abstraction can accomplish tasks that normally require human intelligence. One definition (Cheryan, 2009) of artificial intelligence (AI) states: A program is said to be an AI system if it can attain goals in a wide range of environments. For example, we might say that Google's search engine software exhibits a certain amount of artificial intelligence if it successfully displays web pages to users when they type in various search queries. Other examples include IBM's Watson computer winning at Jeopardy and algorithms designed to predict stock market fluctuations and fraud detection systems used by banks and financial institutions.

Are Computers Getting Smarter?

The development of artificial intelligence (AI) has been rapid, to say the least. More importantly, we can’t predict where it’s going. That scares some people (Stephen Hawking, Elon Musk) and excites others (Bill Gates). It's hard to pinpoint a timeline for when we will achieve artificial general intelligence—that point at which computers become smarter than humans—but it won't be too long after that happens that machines will outsmart humans in every conceivable way. The answer to are computers getting smarter? will change as technology advances, but right now there's no doubt that we're on our way toward a future with AI.

Can A Computer Pass A Turing Test?

The Turing test, proposed by Alan Turing in 1950, suggests a method for determining whether or not a computer has reached human levels of intelligence. It does so by posing a question: If you’re having a conversation with someone via text-based communication (email, instant messaging, etc.), can you tell if that person is actually human or an artificial computer program without knowing who it really is? While programs like ELIZA and PARRY were able to fool some people into thinking they were interacting with humans as early as 1966, it wasn’t until 2014 that anyone was able to create an imitation game-based chatbot capable of passing The Turing Test.

Is Artificial Intelligence (AI) Really Taking Over The World?

While current technologies using artificial intelligence will continue to improve and change our lives, there’s no need to worry about an impending takeover by intelligent machines. At least, not anytime soon. What many don’t realize is that there are two categories of AIs: narrow AI and general AI. Narrow AI refers to a technology that performs one function at a high level (such as Deep Blue), while general AI refers to machine that can do any task that a human can. Today, we have narrow AIs—systems designed for specific tasks—but no general AIs yet exist in their wildest forms. But even if scientists create strong algorithms capable of outwitting humans in games like chess or Jeopardy!

What Is Deep Learning And How Is It Different From Other Kinds Of Machine Learning In AI Technology, Robotic Process Automation Software, NLP, Image Recognition etc.?

Deep learning, also known as deep structured learning or hierarchical learning, refers to a class of machine learning algorithms that feature multiple levels of abstractions. The initial layers are used to learn features about inputs (such as images), and higher layers use these features to learn more abstract representations. Deep learning algorithms have become especially popular for their applications in artificial vision systems such as object recognition in computer vision, speech recognition and language processing systems. What Is Artificial Intelligence?, Artificial Intelligence Algorithms, Artificial Neural Networks etc. There are many examples of applications of deep learning from bioinformatics; intelligent control in robotics; data analysis software and tools for decision support; game playing software for various domains including games of complete information, Poker, Go / Baduk / Weiqi / Igo etc.