Artificial Intelligence(Augmented AI-Today) : A branch of Computer Science and simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. A Machine which learns by itself by finding the relationships without human intervention as we do is Pure AI. Ex: Sophia, AI News Anchor.
Augmented Automated Intelligence is achieved by the intersection or combination of
a)Data Science — Pre-processing, Analysis, Visualization and Prediction
b)Statistics — Inference
c)BigData
d)Natural Language Processing
e)Machine Learning
f)DeepLearning
g)Computer Vision
h)DevOps
History & Evolution:
Applications:
High profile examples of AI include autonomous vehicles (such as drones and self driving cars), medical diagnosis, creating art (such as poetry), proving mathematical theorems, playing games (such as Chess or Go), search engines (such as Google Search), online assistants (such as Siri, Alexa), image recognition in photographs, spam filtering, predicting flight delays, prediction of judicial decisions, targeting online advertisements and energy storage.
- Google Predictive Search Engine ,
- JP Morgan uses AI, ML, image recognition software to analyze legal docs,
- IBM Watson in health care used to diagnose ,DNA analysis, Question Answering Computing system,
- Google’s AI Eye Doctor ,
- Social Media heavily rely on AI like offensive speech, terrorist link accounts, auto tagging,
- Virtual Assistants — Google DUPLEX not only respond calls and book appointments adds human touch also apart from SIRI ,Alexa etc.
- SELF driving cars -TESLA
- Netflix studies personalized movie recommendations for each of its users,
- Gmail Spam filtering,
- To spot stars.
Use Cases/ Problem Statements:
A few listed below but the usage of AI is numerous.
- Economic & Social Challenges : To address socially relevant problems such as homelessness and using satellite images and find the areas which has highest poverty levels.
- Agriculture : To increase the productivity by using AI to predict time of crop, type of crop based on the past data, yield of crop.
- Cyber Security : To use AI and NLP & automatically sort the data in networks into high risk and low-risk information.
- Trading & Investment : Several large financial institutions have invested in AI engines to assist with their investment practices.
- Audit : For financial statements audit, AI makes continuous audit possible.
- Military: AI technologies enable coordination of sensors and effectors, threat detection and identification, marking of enemy positions, target acquisition.
- Health Care: AI in healthcare is often used for classification. It is used to assist doctors to find the right treatment. Microsoft is working on a project to develop a machine called ‘Hanover’ project. ANN’s are used as clinical decision support systems for medical diagnosis. Heart Sound Analysis, Companion robots for elderly , Mining medical records for more inference, designing treatment plans, drug creation,
- Hospitality: AI solutions to reduce staff load and increase efficiency by cutting repetitive tasks using chatbots, Virtual Assistants.
- Deepfakes : A program which animates the face of a target person, transposing the facial expressions of an exterior source
- Music :Initiatives like Artificial Intelligence Virtual Artist(AIVA), Google Magenta to create compelling art.
- News, Publishing and Writing: Yseop, Narrative Science, Echobox, BoomTrain, IRIS TV is helping in their respective tasks by creating reports,analysis.
- Sensors: AI has been combined with many sensor technologies.
- Automotive: Selfdriving cars. Tesla, Google, Apple investing huge in AI
- Aviation : The AOD(Air Operations Division) uses AI for the rule based expert systems. It uses speech recognition software. The air traffic controllers are giving directions to the artificial pilots and the AOD wants to the pilots to respond to the ATC’s with simple responses.
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