How Artificial Intelligence Changed My Life, You Will not Believe - Ybus
18423
post-template-default,single,single-post,postid-18423,single-format-standard,ajax_fade,page_not_loaded,,side_area_uncovered_from_content,qode-child-theme-ver-1.0.0,qode-theme-ver-10.0,wpb-js-composer js-comp-ver-4.12,vc_responsive

How Artificial Intelligence Changed My Life, You Will not Believe

How Artificial Intelligence Changed My Life, You Will not Believe

How Artificial Intelligence Changed My Life, You Will not Believe

What you need to know about and artificial intelligence and machine learning.

What comes to mind when artificial intelligence and machine learning are mentioned? Bicentennial Man or The Terminator? We hope that the latter does not come true. This article will clarify everything.

How Artificial Intelligence Changed My Life, You Will not Believe

How Artificial Intelligence Changed My Life, You Will not Believe

Artificial Intelligence and Machine Learning Defined

Computers that play chess and standalone cars are just a few examples of artificial intelligence or AI. Artificial intelligence is defined as simulating human intelligence in computers or machines.
The basic premise of artificial intelligence is that there is a way to define human intelligence in exact terms and that machines can be programmed to mimic it. This includes perception, reasoning, and learning. Machines can then be connected to achieve this goal using psychology, linguistics, computer science and mathematics.
Artificial intelligence has many branches and one of them is machine learning. Machine learning allows systems to learn automatically from experience without the need to be programmed explicitly.
The idea behind machine learning is to build algorithms that receive input data and then employ statistical analysis to arrive at an expected output. The output is updated continuously as new data is received.

How it works?

Machines can learn from supervised learning. In order to learn a general rule that maps inputs to some outputs, the computer is presented with sample inputs and their desired outputs provided by a “teacher.”

With active learning, we can use a set of unclassified data, AI tries to learn how to do the task and chooses a set of content to request labels. It is then presented to the “teacher” to respond to the data set.

By learning rewards and punishments, the computer receives good or bad feedback while trying to complete a task.

With unsupervised learning, no label is given to the learning algorithm, leaving it alone to find the structure at its entrance. Unsupervised learning can be a goal in itself (discovering hidden patterns in the data) or a means to an end (resource learning).

How does a machine learn?

According to Forbes USA writer Oliver Tan, a machine “learns” looking for patterns among massive databases, and when it sees one, it adjusts the program to reflect the “truth” of what it finds. The more data you expose to the machine, the more “smart” it gets. And when you see enough patterns, you begin to make predictions.

Where is it used?

Artificial intelligence has come a long way since the first recognized application – the complete artificial neurons of Turing by Pitts and McCullouch in 1943. Now it is being used in various sectors and systems such as:
Robotics – Computers are programmed to listen, see, and react to stimuli such as pressure, sound, heat, and light.

Natural Language – Chatbots are programmed to recognize human language when communicating with clients or users.
Expert Systems – Computers are programmed to recommend decisions in real-life situations. Specific information, software, and machines are combined into a system that provides advice, explanation, and reasoning to an end user.

Game systems – Artificial intelligence and machine learning can be used to manipulate strategy-based games such as poker or chess. The machine thinks of several likely positions it can play against its human opponent.

Virtual Personal Assistant – Google Now, Alexa and Siri are just a few examples of a virtual personal assistant. They collect your previous requests and refine them so that the results presented to you are customized to your preferences.
Startups using artificial intelligence and machine learning

Toutiao – Founded in 2012, China
Toutiao is a content platform that allows its users to access a vast world of data through AI technology. It uses Natural Language Processing and Computational View to extract keywords and entities as resources derived from content parts. Toutiao gradually learns what readers are taking advantage of by analyzing data obtained from their social networking activities and then presenting information that is most relevant to users.

SenseTime – Founded in 2014, China
SenseTime develops facial recognition technology that is used in image analysis and payment systems. This application can then be used in bank card security systems and verification. SenseTime has provided this technology to more than 300 companies. The system is very accurate, with an error rate of less than 1 in 100,000 samples. It can also provide image, vehicle and text recognition for security companies, financial services and mobile Internet companies.

Argo AI – Founded in 2017, USA
Argo AI is developing autonomous vehicles, one of the most difficult systems to implement in artificial intelligence, robotics and computer science. The company is using the latest advances in computer vision and machine learning to build efficient and secure stand-alone vehicles.

Targeting Sales with Artificial Intelligence

Have you ever wondered how Amazon can be so accurate with its recommendations? This is artificial intelligence at work.

What else can you do to boost sales?

Predictive forecast

Artificial intelligence can enable a company to predict future projections and revenues. It can help the company recognize new opportunities on which it must focus. All that is needed is a rich set of data and the system can generate a fairly accurate forecast.

Filtering Potential Leads

Artificial intelligence can get potential leads from channels like Google or LinkedIn and validate data from multiple sources. This increases the success of follow-up and improves close relationships.

Increased Productivity

The machine learning aspect of AI can do the job for you 24 hours a day, 7 days a week, thus increasing productivity. This leads to a less busy job and more hours of selling.

Pre-crime

In the future, police may use Artificial Intelligence to combine all of our behavior with the possibility of committing crimes. This raises many concerns if the police can arrest people because AI is suggesting that there is a high percentage likelihood that they are about to commit a crime based on their current behavior patterns.

AI is here to stay.

In this fast-paced world, those who do not have access to relevant information will be left out and back. Automation is also the way to go in production and transportation systems, as more companies integrate artificial intelligence into their infrastructure. Artificial intelligence allows me to find patterns, trends and show me what works. Just as Amazon can foresee its possible future purchases, Artificial Intelligence allows us to find patterns in viral Internet movements, far beyond our ability, and long before our competitors realize.