Machine Learning & Artificial Intelligence Tools/Frameworks

Machine Learning (ML) has emerged as an important technology that is quickly becoming a part of our everyday life. Working with Artificial Intelligence (AI) technology, ML allows software applications to learn from the data and become more accurate in predicting outcomes without human intervention and without being explicitly programmed. To make this happen, programmers use tools and libraries to handle ML tasks. Here is an overview of some of the most common tools used to make this technology work:Scikit Learn is a free software ML library for the Python programming language. It is a simple and efficient tool for data mining and data analysis. It is built on Numpy, Scipy, and Matplotlib platforms and provides a range of supervised and unsupervised learning algorithms in Python such as classification, regression, clustering and more. Scikit Learn is the basic building block for any Machine Learning algorithm.KNIME is a free and open-source data analytics reporting and integration…

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How AI Biometric Technologies Work

Facial Recognition Artificial Intelligence (AI) technology is becoming part of our everyday life and its applications can be seen in areas such as bank fraud detection, retail purchase predictions and online customer support interactions. AI has also proved useful in detecting and stopping malware threats and cyber attacks. An emerging area of AI is Facial Recognition technology – the ability to identify or verify a person from a digital image or video source. Several methods are being used in which facial recognition systems work, but in general, they work by comparing selected facial features from a given image with faces within a database. Iris Recognition Iris recognition is one of the most popular types of biometric technology because of its narrow margin of error and fast speed. It is an automated method of biometric identification and verification that uses mathematical pattern-recognition techniques on images of a person’s eyes.  The iris offers complex, unique…

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Digital Transformation in Governments

While most leading corporations and businesses have implemented new IT technology capabilities to stay competitive and keep customers, many government agencies at the local, state and federal level have been slow to adopt these technological advancements.    Government entities and agencies, however, are looking to transform their obsolete systems and technology to create efficiencies, meet greater demand and create cost savings.  Digital platforms and services including Cloud Computing, Automation Services, Artificial Intelligence and Machine Learning make it possible to integrate and automate processes at a fraction of the cost of outdated systems. Agencies can utilize secure and mission-critical computing infrastructure by migrating data and systems to the Cloud that is adaptive, more scalable and cost-effective.  By implementing Cloud Computing, Artificial Intelligence and Machine Learning, government agencies can more effectively work with and utilize enormous amounts of data.  Implementation of these new technologies also provides efficiencies for communication between agencies, vendors and other branches…

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How Organizations Practice Better Decision Making Through Machine Learning And AI-Powered Systems

The central goal of Artificial Intelligence (AI) is to create intelligent and smarter machines. In broader terms, AI refers to multiple fields of study, such as Machine Learning (ML), Robotics, Natural Language Processing (NLP), and Neural Networks. These technologies have transformed AI into a robust tool, that has radicalized the decision making process and promises to change the way we do business.AI and Machine Learning are already impacting several areas of our lives, from the “Hey, Siri” and “OK, Google” interactions that facilitate our ability to find information or navigate our environments, to online recommendation systems that we get from Facebook, Netflix, Amazon, and others.The question that now arises is how these AI and ML technologies will impact organizations and industries – and how will these technologies benefit companies in creating a competitive edge?A key area where AI and ML promises to create value in organizations is the acceleration of the decision making…

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Implementation of AI to Fight Climate Change

With increased interest in the impact of Global Climate Change, businesses are beginning to use Artificial Intelligence (AI) and Machine Learning to track ever-increasing natural calamities, assess and improve environmental impacts, predict future trends and inform corporate environmental strategy and policy.Companies are taking an interest in this new technology not only because of threats to ecosystems and populations, but also because of concerns that unanticipated natural disasters and weather events can directly impact trade and commerce.  One area where businesses are utilizing Artificial Intelligence and Machine Learning are efforts to reduce a company’s carbon footprint.  Leading businesses are incorporating these technologies to find smarter and eco-friendly techniques to reduce their carbon footprint and implement sustainable practices – while remaining profitable. Transportation companies such as Uber are using this technology to study and develop the use of electric vehicles, autonomous vehicles and drones as ways to reduce their environmental impact.Energy companies that manufacture fossil fuels…

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Fraud Detection with The Help of AI and Machine Learning
Fraud Detection with The Help of AI And ML

Fraud Detection with The Help of AI and Machine Learning

The banking industry is now using Artificial Intelligence (AI) and Machine Learning (ML) to reduce the billions of dollars lost to fraud each year. Banks recently reported $2.2-Billion in losses due to fraud in a single year.  Advances in AI technology are helping to reverse these losses, using methods that ferret out cases of suspicious monetary behavior and allowing the fraud to be detected early before the damage is done. To tackle such activities, AI and Machine Learning programs interpret patterns in the data and apply data science to continually improve the ability to distinguish normal behavior from abnormal behavior. This requires thousands of computations to be accurately performed in milliseconds. Machine Learning capabilities are used to implement automated systems that can learn patterns in data sets without the intervention of human beings. The use of AI and Machine Learning technologies, is allowing banks to quickly respond to ever-evolving fraud threats and reduce…

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The Future of Relationship Between AI Assistants And Human Beings

An “AI Assistant” is an application program that receives natural language voice commands from a user and responds with the best results.  Also known as a Digital Assistant or Virtual Assistant, the technology that powers an AI Assistant requires massive amounts of data, which utilize Artificial Intelligence (AI) and Machine Learning (ML) as well as Natural Language Processing (NLP) and speech recognition platforms. Amazon “Alexa,” Apple “Siri,” Google “Now” and Microsoft “Cortana” are the most well-known AI Assistants.  Their aim is to provide ease-of-use and perform personal tasks such as answering questions, setting alarms and calendar events, ordering goods and services, playing music, operating lights, adjusting heat and air conditioning, or managing home security systems.   As the user interacts with an AI Assistant program the embedded sophisticated algorithms learn from data inputs and become better at predicting the user needs or understanding voice commands. For many people with disabilities AI Assistant programs…

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Facial Expression Recognition (FER)

Facial Expression Recognition (FER) has become an emerging area of interest due to advancements in the fields of Computer Vision and Artificial Intelligence.   This technology not only helps machines to recognize the human face, but also can recognize a person’s expressions – for example, to determine if someone is happy and relaxed or angry and upset. Facial expressions can be difficult to recognize because these expressions vary from face to face. The human brain – which has the ability to recognize facial expressions – is considered the most advanced computer, and therefore efforts have been made to artificially replicate brain function. Now that many artificially-intelligent models have been developed, researchers are taking a new interest in facial expression recognition capabilities. Many of the models that have been developed are able to accurately extract the features of the human face, but there are still areas where these models provide inaccurate readings. The challenge…

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Computer Vision

Computer Vision is a scientific field that allows computers to interpret, understand and process visually understandable objects. With the help of Artificial Intelligence (AI) and deep learning models, computer vision systems can understand captured digital images and react accordingly. Today, many industries are implementing Computer Vision technology to achieve their business targets.Accentedge has partnered to provide smarter solutions to one of the largest US airlines with the help of Computer Vision technology. This approach utilizes visual inputs including video and real-time image analysis combined with existing data sets to provide useful data to improve customer experience.Computer Vision is also being used in other applications including controlling, automation, recognition and precise measuring.  This field promises to show continued interest as businesses see opportunities to apply this technology to create efficiencies and meet the needs of their customer.

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Machine Learning

Machine Learning (ML) is the part of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve based on experience.  This technology provides the ability to quickly analyze large amounts of data to make informed decisions.  Artificial Intelligence and Machine Learning technologies allow machines to act, learn and comprehend – in order to solve problems and extend human capabilities.  Autonomous vehicles use Machine Learning to operate and some of this same technology is being used to help make safer cars.  Medical researchers are using Machine Learning technology to improve accuracy in diagnosing cancer and other illnesses.  Banks and financial service companies are using the same technology to ensure secure financial transactions.  Meteorologists are using Machine Learning to create more accurate weather prediction models. At accentedge, we understand the potential of this new technology – and work with businesses and organizations to implement custom projects using Machine Learning to facilitate smart…

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