Artificial Intelligence: How It Works and What It Is Used For

Artificial Intelligence: How It Works and What It Is Used For

Artificial intelligence is a broad branch of computer science and engineering concerned with developing computers and machines capable of performing tasks that require human intelligence. It entails the development of systems that can simulate human intellectual processes like the capacity to reason, discern meaning, generalize, and learn from experiences. Today, humans program computers to perform very complex tasks (like playing chess) efficiently.

 

How Artificial Intelligence Works

Artificial intelligence works on the principle that researchers and engineers can define human intelligence so that computer systems can easily mimic and perform tasks – ranging from simple to more complex. AI systems depend on specialized hardware and software for coding and implementing machine learning algorithms. AI systems work by taking in large amounts of training data and analyzing the data to draw patterns and correlations. The system then uses the patterns to predict future states or rationalize and perform actions that are likely to attain a specific goal porno français

Part of the aim of artificial intelligence is to mimic human cognitive activities. Researchers and engineers are making surprisingly rapid achievements in AI representation of cognitive activities like learning, perception, and reasoning. AI is constantly progressing to support many different industries.

 

Applications of Artificial Intelligence

There are endless applications of AI. The technology is widely used in various sectors and industries. Here are a few examples.

How Artificial Intelligence Works

Healthcare

The goal of AI in healthcare is to improve patient outcomes and reduce costs by making beter and quicker diagnoses than humans. They are also used for dosing patients’ medication and treatments and surgical procedures in operating theatres. Some healthcare centers deploy AI as online virtual health assistants or chatbots to aid patients and healthcare clients in scheduling appointments, getting medical information, and performing other administrative tasks.

Bank fraud departments use AI to avert financial fraud. The systems can detect and flag suspicious activities in the banking and finance sectors. For example, the system can flag unusual large account deposits and credit card usage. AI is also streamlining and making trading easier by making it easier to estimate the supply, demand, and pricing of securities.

 

Agriculture

AI is being used in agriculture to detect defects and the soil’s nutrient deficiencies. It accomplishes this by using robotics, computer vision, and machine learning applications. The AI system can also analyze the farm areas affected by weed growth. Additionally, AI machines can aid in harvesting crops at a higher pace and volume than human laborers.

 

Automobile Industry

AI is the factor that is enabling self-driving vehicles. For these cars, the computer uses external data from the vehicle’s camera, cloud services, GPS, radar, and control signals to operate the vehicle and prevent collisions and accidents. Furthermore, AI can enhance the in-vehicle experience and offer additional emergency braking, driver-assistant steering, and blind-spot monitoring systems.

 

Financial Industry

 

Marketing

AI can analyze behavior, recognize patterns, and help marketers deliver targeted and personalized adverts. It can also help retarget the right audiences at the right time to enhance results and minimize feelings of annoyance and distrust. Additionally, AI can handle routine tasks like campaign reports, performance, etc.

 

 

 

Artificial Intelligence

World’s first autonomous fish
A new, completely artificial specie can now be spotted in London Aquarium. A fish shaped robot, mimicking the undulating movements of a real fish navigates itself autonomously around the tank. It was designed by Professor Huosheng Hu, of Essex University and will find applications as a new type of underwater vehicle that could be used to measure sea pollution or counter mines.

October 18, 2005 Posted by guhru

Driving with no hands!
A team from Stanford University has claimed the price of $2 million as their unmanned Volkswagen Touareq crossed the finish line after 132 mile race over Mojave Desert, sponsored by DARPA. Another two vehicles, from Carnegie Mellon University and Metairie, Louisiana made it to the end which makes them more lucky than remaining 18 vehicles which failed due to mechanical or sensor failures. Let me remind, that the last year’s race ended for all of the cars in just couple of minutes, all suffering technical glitches.

ABrain
September 02, 2005 Posted by bea_jo

Dr. Juan Liu, as well as Michal Joachimczak and Beata Grzyb — the GABRI Steering Committee members currently working at the ATR, Kyoto — completed their move to a special qViki-dedicated room kindly offered by ATR’s Authorities. The qViki is a semi-physical semi-simulated robotic system employing several psychodynamic concepts developed in the framework of the ATR ABrain Project. Several stations interconnected into a local network hosts qViki’s brain developed and run under BrainCAD. The qViki Lab faces the beautiful ATR garden including a small woodland with a hidden pond.

July 21, 2005 Posted by bea_jo

From Interaction to Cognition
Self-development of motor abilities resulting from the growth of a neural network reinforced by pleasure and tensions was the title of the paper by Juan Liu and Andrzej Buller that was presented by its first author at the poster session of the 2005 IEEE International Conference on Development and Learning From Interaction to Cognition (ICDL-05) held on July 19-21 in Osaka, Japan and published as the Conference Proceedings CD-ROM.

GABRI
September 22, 2005 Posted by bea_jo

Smart Neural Driver Demo under the BrainCAD
SND is a demo of simple reinforcement learning algorithm allowing the robot to learn wall avoidance behavior, previously written by Michal Joachimczak, and now adopted to the BrainCAD. Downloadable archive contains a short description of algorithm, as well as instructions how to run it. You may also need to download BrainCad to use it.

August 31, 2005 Posted by bea_jo

GABRI Neural Model in ICNN&B-05; Proceedings
According to e-mail from the chairs of the International Conference On Neural Networks & Brain (ICNN&B-05;) to be held in Beijing on October 13-15, the paper entitled “Firing Cell: An Artificial Neuron with Long-Term Synaptic Potentiation Sex Video Capacity” by Jacek Bialowas, Beata Grzyb, and Pawel Poszumski has been accepted for inclusion in the conference proceedings.

April 20, 2005 Posted by ab

Pseudoscience industry
As Boston Herald reports, three students of MIT CS & AI Lab wrote a program that “deliberately churned out nonsensical scientific gibberish”. One of fake reports produced by the program has been successfully accepted by a Florida conference. Indeed, a number of conferences is supposedly being organized only to pull money from folks and institutions who for any price want to enhance their “publication records”.

My most recent investigation works

My research area is Carbon Dioxide Capture. The thesis work involved the study CO2 absorption into aqueous monoethanolamine solutions. The main goal of the work was to study the effect of solvent concentration on the overall mass transfer coefficient. The effect of other operating parameters, such as the liquid flow rate, gas flow rate, packing type, CO2 feed percent, and liquid CO2 loading were also evaluated.

Experimental Phase

Counter-current flowing absorption experiments were conducted in one of three packed absorption columns. The CO2 concentration in the gas phase along the column was measured using an IR CO2 gas analyzer under steady-state conditions. The MEA solutions were prepared to the desired concentration and tested for the CO2 loading at both the inlet and outlet of the absorption column. Temperatures along the column was also measured using an on-line thermocouple system.

Analysis

The collected data was used to calculate the overall mass transfer coefficient in the absorption column for the various conditions that were tested.

The findings have been published in various sources identified in the Publications page.

PhD THESIS WORK (Current Project)

My current thesis project is to study the absorption of CO2 from flue gases using gas absorption membranes as the contacting medium. Results will be compared to those obtained using the more traditional packed column approach for absorption. The work will test a variety of membrane materials for their performance as a membrane gas/liquid contactor. As well, the addition of surfactants to the solvent solution will be studied in an effort reduce the tendency to which alkanolamine solutions wet polymer membranes.

Experimental Phase

Experimental equipment is currently being built in the Engineering Workshop. The plant should be up and running in early 2002. The system will consist of two absorption columns, packed with structured packing, and a membrane gas absorber.

Analysis

Analysis of the collected experimental data will focus on comparing the mass transfer coefficient between the membrane absorber and the traditional absorption columns. As well, the effect of surfactants will be studied to determine if they can be used to reduce wetting.

For more details about this project, e-mail me at [email protected]

You may also want to visit my research team web site at…

Current projects

Feasibility of Underground Pneumatic Freight Transport in New York City, sponsored by the New York State Energy Research and Development Authority (NYSERDA), Agreement No.7643 (4/1/03-8/1/04).

This project investigates the feasibility of using pneumatic capsule pipeline (PCP) for underground freight transport in New York City (NYC). Six different applications of advanced PCP systems in NYC were considered including: (1) temporary PCPs for transporting materials in and out tunnels during tunnel construction, (2) a dedicated PCP for transporting municipal solid wastes from nine transfer stations in NYC to a large landfill in a neighboring state, (3) a dedicated PCP for transporting mail and parcels from (to) five locations in NYC to (from) Washington D.C. and the cities in between along the East Coast, (4) a network of underground PCP tunnels of 7 ft diameter in NYC to transport any freight that is normally transported on pallets, or in crates, boxes or bags, (5) a special PCP to dispatch containers from (to) the ports of NYC to (from) an inland inspection/intermodal-transfer station in New Jersey, and (6) a special PCP to ferry trucks from (to) the food center of Hunts Point to (from) a nearby highway interchange.
Of the six potential applications studied, the first five were found to be far more cost-effective than using trucks, which is the current means of freight transport in 97% of cases in NYC. The study found that in adding to reducing freight transportation cost in NYC, the use of PCPs will greatly benefit the City in other ways as well including reducing traffic jam on the City’s streets and highways, reducing air pollution and accidents caused by trucks, improving New Yorkers’ quality of life, and enhancing economic development.
For more information about the project, please read the ASCE article and/or the project final report in the section “Company Publications”. (Note: Please feel free to download the article and the report for detailed reading).

An Electromagnetic Pneumo Capsule System for Conveying Minerals, sponsored by the National Energy Technology Laboratory (NETL), U. S. Department of Energy (DOE), Grant No. DE-PS26_03NT41757-1 (9/1/03-11/30/04).

The purpose of this project is to conduct research to design and develop a new advanced pneumatic capsule pipeline (PCP) system for transporting minerals and mine wastes. The system is to be driven by linear induction motors (LIMs), and it uses capsules that run on guided rails inside the pipe (conduit) of 1 m by 1 m cross-section. The system is expected to be a major improvement over the current PCP systems, which use blowers instead of LIMs, and use capsule wheels with rubber tires rolling freely inside the pipe. The use of LIMs instead of blowers enables capsules to pass through the entire pipe system from inlet to outlet unimpeded, thereby greatly enhancing throughput and system capability. The use of capsules with steel wheels running on rails greatly reduces contact friction, thereby drastically reducing energy consumption of the system. It also facilitates control of the motion of capsules at pipeline branches, inlet and outlet. The study is expected to result in the development of a revolutionized advanced PCP system for use in mining. Use of such a system in mining in the future will result in large cost savings and reduced energy consumption to mining companies. It also helps the environment by reducing the use of trucks for transporting minerals and mine wastes. The scope of work of the project includes: (1) deriving all the equations needed for the design and operation of this special PCP system driven by LIMs, (2) using the derived equations to design several systems of the advanced PCP for analysis and optimization, (3) analyzing the system performance under various conditions in order to determine system characteristics and to optimize the design of the system, (4) calculating the energy efficiency of the optimized systems, and (5) determining the costs and the cost effectiveness of the optimized systems of PCP, and comparing the results with the costs of using trucks and railroads to transport minerals and mine wastes.
For more information on the project, please read the final report of this project which will apper on this website in January 2005.
Compacting Fly Ash to Make Bricks, sponsored by the National Science Foundation (NSF), Small Business Innovation Research (SBIR) Phase-1 project, Grant No. NSF-DMI-0419311 (7/1/04-12/31/04).

Fly ash is a byproduct of burning coal for power generation. It exists in large quantity at the nation’s coal fired power plants. So far, only about 30% of fly ash generated in the United States is utilized; the remaining 70% is wasted and enters landfills or slurry ponds. Previous research has found that by mixing Class-C Fly ash with a small amount of water, the mixture can be compacted into bricks which, upon curing at room temperature, become as strong as concrete bricks. The fly ash bricks also have good water absorption property and low permeability. However, they are weak in freezing/thawing property, causing the bricks to deteriorate prematurely when used outdoor in cold climates. The purpose of this NSF grant is to improve the freezing/thawing properties of the compacted fly ash bricks, so that such bricks can be used economically anywhere in the United States.
In this project, the freezing/thawing property of the flyash bricks will be improved by five different approaches: (1) adding a small amount of fiber to the flyash before compaction, (2) adding some cement or lime to the flyash before compaction, (3) using a special sealants to coat the bricks, (4) using improved flyash-to-water ratios and better mixing of fly ash with water, and (5) using an improved mold design that can make better. The effectiveness of using each of these approaches to improve the freezing/thawing property of the flyash bricks are being tested and assessed in this study, together with a determination of the cost-effectiveness of each of the approaches.
Due to the simplicity of the process in producing such fly ash bricks and the low cost of the raw materials (fly ash and water) – it is expected that the fly bricks can be produced at a cost significantly less than that of either the concrete brick or the vitrified clay brick. Therefore, once the freezing-thawing property of the fly ash brick is significantly improved, the brick is expected to have a large market and a bright future.