Applications of Artificial Intelligence

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8/30/2019

Applications of Artificial Intelligence - usm systems - Medium

Applications of Arti cial Intelligence usm systems Follow Aug 30 ¡ 4 min read

AI is important because it helps solve some of the most difficult problems in various industries, such as entertainment, education, health, commerce, https://medium.com/@usmsystems23/applications-of-artificial-intelligence-683235a409b8

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8/30/2019

Applications of Artificial Intelligence - usm systems - Medium

transportation, and utilities. AI applications can be classified into five categories: Reasoning: The ability to solve problems through logical exclusion. Ex: financial asset management, legal assessment, financial application processing, autonomous weapons systems, games Wisdom: The ability to display knowledge about the world. Ex: Financial Market Trading, Purchase Assessment, Fraud Prevention, Drug Creation, Medical Determination, Media Recommendation Planning: Ability to set and achieve goals. Ex: inventory management, demand estimation, forecast management, physical and digital network optimization, navigation, scheduling, logistics Communication: https://medium.com/@usmsystems23/applications-of-artificial-intelligence-683235a409b8

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Applications of Artificial Intelligence - usm systems - Medium

Ability to understand spoken and written the language. Ex: Real-time translation of spoken and written languages, Real-time transcription, Intelligent assistants, Voice control Awareness: The ability to make sense of the world through sounds, images, and other sensory inputs. Ex: medical diagnosis, autonomous vehicles, surveillance AI trends in various fields 1. Health care AI and ML technology are very useful in the healthcare industry because it generates massive amounts of data for training and allows algorithms to detect patterns faster than human analysts. Medication has developed an algorithm that identifies 8 variables in diabetes patients, to determine if they require hospitalization. The BiliScreen app uses a smartphone camera, ML tools and computer vision algorithms to detect increased levels of bilirubin in the sclera (white part) of a person’s eye, which can be used to test people for

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Applications of Artificial Intelligence - usm systems - Medium

pancreatic cancer. This cancer has no telltale symptoms, so it is one of the worst diagnoses of all cancers. Numedii, a biopharma company, has developed a platform called Artificial Intelligence for Drug Discovery (AIDD), which uses big data and AI to track the link between diseases and drugs at the system level. GNS Healthcare uses ML algorithms to compare patients with the most effective treatments. 2. Entertainment A familiar application of AI in everyday life is found with services such as Netflix or Amazon, in which ML algorithms analyze a user’s activity and compare it to other users to determine which shows or products they recommend. Algorithms are becoming smarter with time — the consumer wants to gift a product and has different viewing preferences for himself/herself, or different family members. 3. Finance Financial services companies use AI-based natural language processing tools to analyze brand sentiment and provide actionable advice from https://medium.com/@usmsystems23/applications-of-artificial-intelligence-683235a409b8

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Applications of Artificial Intelligence - usm systems - Medium

social media platforms. Investment firms such as Idea and Nomura Securities use AI algorithms to automatically manage to trade, and robot-traders to perform highfrequency trading for higher profits, respectively. FinTech companies such as Kensho and ForwardLane use AI-powered B2C Robo-advisors to enhance rebalancing decisions and portfolio management by human analysts. Wealthfront uses AI algorithms to track account activity and customize financial advice to their advisors. Chatbots powered by natural language processing can serve banking customers quickly and efficiently by answering simple questions and providing information promptly. Fraud detection is an important application of AI in financial services. For example, it uses MasterCard Decision Intelligence technology to detect fraudulent transactions, improve real-time approval accuracy, and analyze various data points to minimize false lapses. 4. Data security

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Applications of Artificial Intelligence - usm systems - Medium

Cyber attacks are increasingly becoming a reality as they move into the digital world. There are also concerns about AI programs switching against systems. Automatic Explosive Generation (AEG) is a bot that can determine if a software bug is vulnerable to security issues. If a vulnerability is detected, the bot automatically secures it. AEG systems help develop automated signature generation algorithms that can predict the likelihood of cyberattacks. PatternEX and MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed an AI platform called AI2 that predicts cyber-attacks better than current systems. The platform uses Active Contextual Modeling, a continuous feedback loop between the human analyst and the AI system, that provides better attack detection rate than ML-only solutions by 10 factors. Institutional intelligence firm Deep Instinct claims that the malware code varies between 2% -10% in each iteration, and that its AI model can handle variations and that the malware can accurately predict which files. 5. Preparation https://medium.com/@usmsystems23/applications-of-artificial-intelligence-683235a409b8

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Applications of Artificial Intelligence - usm systems - Medium

It claims to have created machine-focused tools to detect subtle defects in objects such as landing. I circuit boards. In the future, self-driving robots may be created that can move finished goods without risk to anyone or anyone around them. Robots in factories are often stable, but there is a risk of rasing things around. Co-operative robots or “cobots�, a new concept launched by AI, can take cues from humans, including instructions that the robot has not previously uncovered, and works productively with them. AI algorithms influence the manufacturing supply chain by identifying product demand patterns across geographies, socioeconomic sectors and time, and estimating market demand. It affects inventory, raw material sourcing, financing decisions, human personnel, energy use, and equipment management. AI tools help in predicting malfunction and equipment breakdown and taking or recommending precautionary measures as well as tracking operating conditions and performance of factory equipment. 6. Automotive industry Tesla introduced the Intelligent Virtual Assistant Teslabot, integrated with Models S and X, allowing users to interact with their car from their https://medium.com/@usmsystems23/applications-of-artificial-intelligence-683235a409b8

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phone or desktop. Uber AI Labs strives to develop self-driving cars with the help of the best engineers and scientists. Uber has already tested a batch of self-driving cars in 2016. Nvidia has partnered with Volkswagen to develop “Intelligent Co-Pilot Systems” in cars that enable security alerts, gesture control and voice, and facial recognition. Ericsson predicts that 5G technology will improve vehicle-to-vehicle communication, including sensors on airport runways, railways, and roads.

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