After several versions of creating and recreating systems based on the brain’s network, a recent study published in the Frontiers in Neuroscience journal claims to have constructed a novel computer that can, reportedly, mimic the human brain in an accurate and energy-efficient manner.

A neural network is a computer system that can behave, act and do something like or simulate the functioning of a human brain. It is one of the important and recent aspects of the Artificial Intelligence (AI) that resembles or depicts the human brain in its configuration and working.

In information technology, a neural network is a system of programs and data structures that approximates the operation of the human brain. A neural network usually involves a large number of processors operating in parallel, each with its own small sphere of knowledge and access to data in its local memory.

An emerging field called “neuromorphic computing” focuses on the design of computational hardware inspired by human brain. Dr Xiong and his team built graphene-based “artificial synapses” in a 2D honeycomb configuration of carbon atoms.

In which of the following areas has the artificial Intelligence defeated the best brains on earth? Answer: Decision making.

There are three phases of AI:

• Artificial Narrow Intelligence (ANI)
• Artificial General Intelligence (AGI)
• Artificial Super Intelligence (ASI)

Weak AI helps turn big data into usable information by detecting patterns and making predictions. Examples of weak AI include Facebook’s newsfeed, Amazon’s suggested purchases and Apple’s Siri, the iPhone technology that answers users’ spoken questions.

Example of Strong AI: For example, a machine might hear “good morning” and start to associate that with the coffee maker turning on. If the computer has the ability, it theoretically could hear “good morning” and decide to turn on the coffee maker. Another example is AI in games.

Weak methods have neither a precisely defined domain nor a precisely determined initial point. A weak method displays degrees of weakness too. An entirely descriptive method, which only registers and does not explain anything, and neither predicts nor foretells anything, is the weakest one.

1. problem-solving techniques based on general principles rather than specific, domain-relevant knowledge. Such methods can be applied to a wide variety of problems but may be inefficient in many cases.

Artificial narrow intelligence (ANI or narrow AI) refers to a computer’s ability to perform a single task extremely well, such as crawling a webpage or playing chess. Artificial general intelligence (AGI) is when a computer program can perform any intellectual task that a human could.

At best, Sophia is described as a chatbot with a face, researchers assert that what human-machine interaction designers have done is link narrow AI algorithms together, to give the functionality of a more capable algorithm. According to some experts, Sophia is more like a chatbot with a face.

Narrow artificial intelligence (narrow AI) is a specific type of artificial intelligence in which a technology outperforms humans in some very narrowly defined task. Unlike general artificial intelligence, narrow artificial intelligence focuses on a single subset of cognitive abilities and advances in that spectrum.

Answer. Answer: Which situation is an enabler for the rise of Artificial Intelligence (A in recent years? availability of cloud-based, hosted machine learning platforms.

Artificial Intelligence requires large datasets for the training of its models but, fortunately, the creation and availability of data has grown exponentially thanks to the enormous decrease in cost and increased the reliability of data generation: digital photos, cheaper and precise sensors, etc.

AI in everyday life Artificial intelligence is widely used to provide personalised recommendations to people, based for example on their previous searches and purchases or other online behaviour. AI is hugely important in commerce: optimising products, planning inventory, logistics etc.

The simplest example of a Conversational AI application is a FAQ bot, or bot, which you may have interacted with before. The next maturity level of Conversational AI applications is Virtual Personal Assistants. Examples of these are Amazon Alexa, Apple’s Siri, and Google Home.

Google Assistant is an artificial intelligence–powered virtual assistant developed by Google that is primarily available on mobile and smart home devices. Unlike the company’s previous virtual assistant, Google Now, the Google Assistant can engage in two-way conversations.

Conversational sentence example. Keeping her voice conversational , she asked him without looking up. “Nice looking car,” he said in a conversational tone. “You’re a beautiful woman,” he said in a conversational tone.

Another famous chatbot example is 1800Flowers. The flower-delivery company has created a Facebook messenger chatbot. Users can order flowers and have them delivered in a breeze. They can also quickly engage with a human from the customer support if they need to.

Siri(or Siri chatbot) is a virtual assistant (provides support services virtually) which uses voice queries to answer questions, perform actions and make recommendations according to the user’s needs. Siri is a chatbot itself helping the users of iPhones to work/live better.

Alexa is officially a chatbot. Yesterday, Amazon began rolling out a new feature on iOS that enables users to type their requests to Alexa and see responses on the screen.

WhatsApp chatbot is an automated software powered by rules or artificial intelligence (AI) and runs on the WhatsApp platform. People communicate with WhatsApp chatbot via the chat interface, like talking to a real person. It’s a set of automated replies that simulates a human conversation on WhatsApp.

You can use WATI’s WhatsApp solution that’ll help you build a no code chatbot for free. But you need to pay for WhatsApp Business API. You can not build a chatbot for WhatsApp without using WhatsApp APIs.

Apply these best practices to create a WhatsApp Bot:

1. Apply for WhatsApp Business API. Before you can create a WhatsApp bot, you have to apply for the beta program called WhatsApp Business API.
2. Think About the Conversation.
3. Use a Chatbot Maker and Host on a Database.
4. Test Your WhatsApp Chatbot.

A chatbot is a computer program that’s designed to simulate human conversation. Users communicate with these tools using a chat interface or via voice, just like they would converse with another person. Chatbots interpret the words given to them by a person and provide a pre-set answer.