Results


Predicting physical activity based on smartphone sensor data using CNN LSTM

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Today we want to look at how smartphones, smart-watches and the like are able to predict what kind of activities you're doing based on sensor data and try to reproduce this process. The possibilities range from sport or health applications to games like Pokémon Go, to name a few. Most modern smartphones have an accelerometer and a gyroscope. An accelerometer measures changes in velocity and changes in position, whereas a gyroscope measures changes in orientation and changes in rotational velocity. For this task we use a dataset from UCI.


Five Challenges of Analyzing Internet of Things (IoT) Data - International Institute for Analytics

@machinelearnbot

The analysis of Internet of Things (IoT) data is quickly becoming a mainstream activity. I've written about the Analytics of Things (AoT) before (some examples here, here, and here). For this blog, I'm going to focus on a few unique challenges that you'll most likely encounter as you move to take IoT data into the AoT realm. With many historical data sources, such as transactional data, it was often quite an effort to gather the source data required for analysis. It was necessary to identify what information was available, how it was formatted, and also to reconcile data from different sources that often contained similar information, but had inconsistencies in how it was provided.


When Will That Happen? A Novel Approach to Time Series Prediction - Emcien

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Knowing when something will happen – not simply that it will happen – can better enable you to take the right action at the right time in response to a prediction. As a result, you can make a bigger impact to the outcome you want to improve. That's why it's so valuable to analyze time series data and make time series predictions. But it typically refers to a type of time series prediction in which you estimate or project the value of a single variable, or multiple variables, at various points in time in the future. For example, many businesses forecast sales (variable) figures (value) each week for the quarter (time).


When Will That Happen? A Novel Approach to Time Series Prediction - Emcien

#artificialintelligence

Knowing when something will happen – not simply that it will happen – can better enable you to take the right action at the right time in response to a prediction. As a result, you can make a bigger impact to the outcome you want to improve. That's why it's so valuable to analyze time series data and make time series predictions. But it typically refers to a type of time series prediction in which you estimate or project the value of a single variable, or multiple variables, at various points in time in the future. For example, many businesses forecast sales (variable) figures (value) each week for the quarter (time).


Machine Learning is the New Jake

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Everyone in, and serving, manufacturing businesses has encountered terms such as Industry 4.0, Digital Transformation, and Smart Factory. Small compute footprints, low-cost, high-availability communication systems, high-capacity–low-cost memory, rapidly evolving sensor technology, and new time-series data structures supporting real-time analytics are all conspiring to empower industrial operators to transform their businesses from "tribal knowledge systems" to data-driven operations. Twenty years ago -- in the dawn of the Internet age, at a converting operation then part of International Paper, we relied on Jake. Jake was a medium age, good natured man who had worked the plant for seventeen years -- since high school. Jake, unusual in that he was able to stand the middle ground between Union and Management, epitomized "tribal knowledge."


Enhancing Industrial Internet of Things with Machine Learning

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The application of machine learning in Industrial Internet of Things (IIoT) enhances predictive analysis and maintenance. The Internet of Things (IoT) is a giant network of things where people communicate with each other using various wired and wireless technologies. IIoT is IoT used solely within industries. While IoT is leveraged for consumer purposes, IIoT is used within industries, such as manufacturing, supply chain, logistics, agriculture, and many more. With the rise of big data analytics and machine learning, industries have made many revolutionary gains.


A Simple Tool to Start Making Decisions with the Help of AI

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There is no shortage of hot takes regarding the significant impact that artificial intelligence (AI) is going to have on business in the near future. Much less has been written about how, exactly, companies should get started with it. In our research and in our book, we begin by distilling AI down to its very simplest economics, and we offer one approach to taking that first step. We start with a simple insight: Recent developments in AI are about lowering the cost of prediction. AI makes prediction better, faster, and cheaper.


Honor Smartphone Bridges Gap Between AI and IoT

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HONG KONG – Artificial intelligence technologies are penetrating consumer markets faster than ever before. Now, in a world first, Chinese tech giant Honor has brought an AI-powered smartphone to the market – and it's poised to accelerate adoption of this groundbreaking technology. Honor, an independent sub-division of Huawei, first announced the flagship Honor View10 back in December of 2017. Billed as a lightning-fast consumer smartphone, there's much more going on under the skin of the View10 than is immediately obvious. The View10's Kirin 970 processor is integrated with a dedicated neural network processing unit (NPU) to deliver AI features and performance that the company claims'far surpasses' any CPU or GPU-powered architecture.


AI system trained to respond like a dog

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A team of researchers from the University of Washington and the Allen Institute for AI has trained an AI system to respond like a dog using data from an actual animal. In their paper uploaded to the arXiv preprint server, the group describes their system and what it can and cannot do. The team is also going to present their work at the Conference on Computer Vision and Pattern Recognition this summer. AI systems are typically based on deep-learning algorithms that process data describing events, and then using what they have learned to predict future behavior. In this new effort, the researchers have applied such a strategy to dog behavior.


This wearable device can respond to your thoughts

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MIT researchers have created a wearable device called AlterEgo that can recognize nonverbal prompts, essentially "reading your mind." The system is made up of a device that loops around a user's ear, follows their jawline, and attaches underneath their mouth, and a computer system. The wearable device has electrodes that pick up neuromuscular signals in your jaw and face that are triggered by internal verbalizations (aka saying words in your head) but can't be seen by the human eye. These signals are then given to a machine learning system that analyzes the data, associating specific signals with words. "Our idea was: Could we have a computing platform that's more internal, that melds human and machine in some ways and that feels like an internal extension of our own cognition?"