Teaching Methods


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.


Self-learning neuromorphic chip composes music

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IMEC's neuromorphic chip is not the first that is able to self-train by association (see BrainChip provides details of neural network architecture) however, it is novel in that it has used the variable resistance of memory devices to function in a manner similar to biological synapses. The use of memory in this way – IMEC is researching the use of ReRAM and MRAM – offers up to two orders more energy efficiency than use of logic, according to An Steegan, executive vice president of semiconductor technology and systems at IMEC. IMEC's goal is to develop manufacturing process technology and machine learning building blocks to make artificial intelligence sufficiently energy efficient that it can be integrated into sensors. IMEC's chip has learned to compose music and the rules for the composition are learnt on the fly.


Machine learning methods (infographic)

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Our visual primer shows the most common ones in use and the business problems they solve. Artificial intelligence (AI) and machine learning are a hot topic in the enterprise, with company leaders having high hopes for how they can be used to improve and automate business processes. So how will AI solve business problems, like helping you figure out why you're losing customers or assessing the risk of a credit applicant? To get a glimpse into the future of machine learning and how humans will play a critical role in its development, see our machine learning evolution infographic.


Three examples of machine learning methods and related algorithms

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We'll start with classification, whose objective is to predict an outcome by creating separate classes in a data set. Uses for classification algorithms include junk email detection and healthcare risk analysis. Given a predefined set of classes, the algorithm iteratively searches for the variables that provide the greatest differentiation among the data entities being classified. Once such variables are found and decision rules are determined, the existing data set is split into two or more groups based on the rules.


Genuine enthusiasm for AI

MIT News

Greg Young, an MIT senior and electrical engineering and computer science major, says the orchestration of the class, which is co-taught by Wojciech Matusik and Pablo Parrilo from the Department of Electrical Engineering and Computer Science (EECS), is impressive. Indeed, the popularity of 6.036 is such that a version for graduate students -- 6.862 (Applied Machine Learning) -- was folded into it last spring. Guadalupe Fabre, also a graduate student in electrical science and engineering and a teaching assistant, recommends 6.036 for people seeking to "develop a clear understanding of algorithms used in real life." Half of the lectures are delivered by Barzilay and Jaakkola; additional faculty -- this semester, Matusik and Parrilo -- take care of the remainder.


How Artificial Intelligence enhances education

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Machine Learning algorithms, programs that glean patterns from data and provide insights and suggestions, help teachers to find gaps in their teachings and point to where students are struggling with subject matter. Third Space Learning, an online math tutoring platform that debuted five years ago, is exploring the concept. Capitalizing on the huge store of student-teacher interaction data it has collected from millions of lessons, Third Space has launched a AI project that aims to find positive teaching and learning patterns. The algorithms then use the gained knowledge to create textbooks and classroom material based on the core concepts.


New Google machine learning method reduces your mobile data traffic by enhancing low-res images

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Essentially, the new method can reduce data usage per image viewed by up to 75%, as RAISR requests a version of the original picture that only has a quarter of the pixels, and then enhances and enlarges it to produce the same quality. Popular galleries Best smartphones you can buy right now: April 2017 Here are four paid iOS apps free for a limited time only "Never Settle" teaser maybe hints at OnePlus 4 (OnePlus 5?). Or just a jet black color for an existing product Galaxy S8 and S8 seen from numerous angles in leak-based renders How to get rid of the Google Assistant and get Google Now On Tap back Samsung Galaxy S7 before and after the Android Nougat update: here's what's changed Galaxy S6 Nougat update manual is out, here are the differences with Android 7 on the S7 Best Galaxy S8 and S8 accessories - cases, car chargers, headphones, and other essentials 10 amazing Android home screen designs that will inspire you #10 Google's RAISR in action via cnet "Never Settle" teaser maybe hints at OnePlus 4 (OnePlus 5?). Samsung Galaxy S7 before and after the Android Nougat update: here's what's changed


A professor built an AI teaching assistant for his courses -- and it could shape the future of education

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In his regular courses at Georgia Tech, the computer science professor had at most a few dozen students. In fact, the course he was teaching, Computer Science 7637, is titled Knowledge-Based Artificial Intelligence. It occurred to him that perhaps what he needed was an artificially intelligent teaching assistant -- one that could handle the routine queries, while he and his human TAs focused on the more thoughtful, creative questions. Jill assists students in both Goel's physical class, which has about 50 students, and the more heavily attended online version.


How Artificial Intelligence enhances education

#artificialintelligence

Machine Learning algorithms, programs that glean patterns from data and provide insights and suggestions, help teachers to find gaps in their teachings and point to where students are struggling with subject matter. Third Space Learning, an online math tutoring platform that debuted five years ago, is exploring the concept. Capitalizing on the huge store of student-teacher interaction data it has collected from millions of lessons, Third Space has launched a AI project that aims to find positive teaching and learning patterns. The algorithms then use the gained knowledge to create textbooks and classroom material based on the core concepts.