Teaching Methods


Machine learning methods applied to big data

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There has been an upsurge in machine learning methods in recent years. That is the objective of this episode of the Talking Data podcast, in which TechTarget reporters Jack Vaughan and Ed Burns discuss the evolution of machine learning through the lens of technologies employed and end-use applications. In the 1990s, machine learning methods began to appear in the discipline known as data mining that became part of applications running on major relational databases and data warehouse systems. Check out this episode of the Talking Data podcast and learn more about machine learning methods that stand poised to change the course of data analytics.


Which industry will artificial intelligence disrupt next?

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From maximizing efficiency in the workplace to better understanding how consumers emotionally connect to brands, services and products, the applications of artificial intelligence seem limitless. AI's abilities have already grown beyond answering simple text questions: It can now fully interact with humans, giving customers a faster, sometimes more accurate response. The same patterns used to identify behaviors and differences in other industries will be used to understand how each student learns so that customized teaching methods can be easily deployed. Once my genome, life cycle, food/nutrition, and basic day–to–day physiological data are all connected, AI can support health care practitioners to make informative decisions and provide guidance on various possible customized solutions, with the probability of success for each patient.


Flipboard on Flipboard

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From maximizing efficiency in the workplace to better understanding how consumers emotionally connect to brands, services and products, the applications of artificial intelligence seem limitless. AI's abilities have already grown beyond answering simple text questions: It can now fully interact with humans, giving customers a faster, sometimes more accurate response. The same patterns used to identify behaviors and differences in other industries will be used to understand how each student learns so that customized teaching methods can be easily deployed. Once my genome, life cycle, food/nutrition, and basic day–to–day physiological data are all connected, AI can support health care practitioners to make informative decisions and provide guidance on various possible customized solutions, with the probability of success for each patient.


4 Ways Self Learning Algorithms are Impacting Business - And Customers Don't Even Realize It

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In the context of machine learning, this requires a system powerful enough to process and analyze a ton of information.


Which Industry Will Artificial Intelligence Disrupt Next?

#artificialintelligence

From maximizing efficiency in the workplace to better understanding how consumers emotionally connect to brands, services and products, the applications of artificial intelligence seem limitless. AI's abilities have already grown beyond answering simple text questions: It can now fully interact with humans, giving customers a faster, sometimes more accurate response. The same patterns used to identify behaviors and differences in other industries will be used to understand how each student learns so that customized teaching methods can be easily deployed. Once my genome, life cycle, food/nutrition, and basic day–to–day physiological data are all connected, AI can support health care practitioners to make informative decisions and provide guidance on various possible customized solutions, with the probability of success for each patient.


uni.news: Self-Learning Robot Hands

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Thomas Schack's research group, for instance, investigated which characteristics study participants perceived to be significant in grasping actions. In one study, test subjects had to compare the similarity of more than 100 objects. In another study, test subjects' eyes were covered and they had to handle cubes that differed in weight, shape, and size. From one of the monitors, Flobi follows the movements of the hands and reacts to the researchers' instructions.


Self Learning AI Robot Hands

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Researchers at Bielefeld University have developed a grasping learning system based on robotic hands. The system called "Famula" works without knowing the specific characteristics of objects such as pieces of fruit or tools in advance. "Our system learns by trying out and exploring by itself – in the same way that babies approach new objects", says Prof. Dr. Helge Ritter. The grasping learning system was developed as part of the "Famula" large-scale project at Bielefeld University's Cluster of Excellence Cognitive Interaction Technology (CITEC).


Sesame Workshop and IBM team up to test a new A.I.-powered teaching method

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That's a question Sesame Workshop, the nonprofit organization behind the popular children's TV program "Sesame Street" and others, aims to answer. The company has teamed up with IBM to create the first vocabulary learning app powered by IBM's A.I., which adapts itself the child's current reading level and vocabulary range, then continues to intelligently adjust as the child's vocabulary skills improve. The app also personalizes itself to individual children using adaptive assessments to determine the child's current vocabulary range, then delivers learning experiences that focus on specific words. With the launch of the new app, he adds, "educational technology like the platform we've created with IBM Watson is a promising new channel for learning opportunities inside and outside the classroom, and we're excited to explore it further."


Press Release - Imec demonstrates self-learning neuromorphic chip that composes music

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Antwerp (Belgium) – May 16, 2017 – Today, at the imec technology forum (ITF2017), imec, the world-leading research and innovation hub in nano-electronics and digital technologies, demonstrated the world's first self-learning neuromorphic chip. The Imec Technology Forum (ITF) is imec's series of internationally acclaimed events with a clear focus on the technologies that will drive groundbreaking innovation in healthcare, smart cities and mobility, ICT, logistics and manufacturing, and energy. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create groundbreaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy. Imec is a registered trademark for the activities of IMEC International (a legal entity set up under Belgian law as a "stichting van openbaar nut"), imec Belgium (IMEC vzw supported by the Flemish Government), imec the Netherlands (Stichting IMEC Nederland, part of Holst Centre which is supported by the Dutch Government), imec Taiwan (IMEC Taiwan Co.) and imec China (IMEC Microelectronics (Shanghai) Co. Ltd.) and imec India (Imec India Private Limited), imec Florida (IMEC USA nanoelectronics design center).


SELF-LEARNING POWER GRIDS & IMPACT ON POWER MARKETS

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A Self-Learning Power Grid with advanced monitoring controls, centralized data processing, and advanced algorithms is the key to training and developing a Self-Learning Power Grid that will result in optimized grid operations and thus reducing costs and response times. All of this is going to be achieved with Advanced Machine Learning applications in the Power Systems Domain. Deriving meaningful analytics from disparate data sources without the right tools and technology is the challenge and this is what is being addressed by big data technologies, the application of machine learning techniques, and other learning algorithms. Now is the time to talk about integration of Modern Grid with Big Data, Machine Learning and Advance Algorithms.