Teaching Methods


IBM, JDRF partnership using machine learning methods to tackle Type 1 diabetes

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What the research collaboration will attempt to do is create an entry point in the field of precision medicine -- combining JDRF's connections to research teams around the globe, and its subject matter expertise in T1D research, with the technical capability and computing power of IBM. IBM scientists will look across at least three different data sets and apply machine learning algorithms to help find patterns and factors that may be at play, with the goal of identifying ways that could delay or prevent T1D in children. As a result, JDRF will be in a better position to identify the top predictive risk factors for T1D, cluster patients based on top risk factors, and explore a number of data-driven models for predicting onset. The deep expertise our team has in artificial intelligence applied to healthcare data makes us uniquely positioned to help JDRF unlock the insights hidden in this massive data set and advance the field of precision medicine towards the prevention and management of diabetes."


How to Use Artificial Intelligence in the Classroom - The Edvocate

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With the help of artificial education, menial tasks like grading can be automated saving teachers loads of time. With less work for teachers, artificial education can give them more time to create engaging and creative classroom activities, and work on their own professional development. Artificial education gives teachers more time to work individually with students and help them reach their full potential. Artificial education gives every student the opportunity to receive a quality education, takes the load off teachers, and individualizes learning.


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.



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.


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).