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Your EAR canal could soon be your password

Daily Mail - Science & tech

A new identification system uses your ear as the password, distinguishing between individuals by the resonation of sound in the ear cavities. The earbud technology, developed by NEC Corporation, measures acoustic characteristics to recognize a person with more than 99 percent accuracy. It doesn't require scanning, instead relying on an earphone with a built in microphone to receive and calculate sounds so it can be used during movement or while a person is working. The earbud technology measures acoustic characteristics to recognize a person with more than 99 percent accuracy. It doesn't require scanning, instead relying on an earphone with a built in microphone to receive and calculate sounds so it can be used during movement or while a person is working New type of biometric identification technology measures acoustic characteristics to recognize a person with more than 99 percent accuracy.


Common Characteristics of the Factory of the Future

#artificialintelligence

In Part 1 of our Factory of the Future series, we discussed the evolving definitions of the Factory of the Future, although there is not one universally accepted definition or term. In Part 2, we move on to the common characteristics of companies that have embraced new technologies. Each manufacturer will approach the future from different directions, choosing different information technologies (IT) and operational technologies (OT) to solve their challenges and meet customer needs. There are, however, common characteristics that make a manufacturer more "future-ready" and able to fully embrace new opportunities. How many of these characteristics apply to your manufacturing plant?


Agent based simulation of the evolution of society as an alternate maximization problem

arXiv.org Machine Learning

Understanding the evolution of human society, as a complex adaptive system, is a task that has been looked upon from various angles. In this paper, we simulate an agent-based model with a high enough population tractably. To do this, we characterize an entity called \textit{society}, which helps us reduce the complexity of each step from $\mathcal{O}(n^2)$ to $\mathcal{O}(n)$. We propose a very realistic setting, where we design a joint alternate maximization step algorithm to maximize a certain \textit{fitness} function, which we believe simulates the way societies develop. Our key contributions include (i) proposing a novel protocol for simulating the evolution of a society with cheap, non-optimal joint alternate maximization steps (ii) providing a framework for carrying out experiments that adhere to this joint-optimization simulation framework (iii) carrying out experiments to show that it makes sense empirically (iv) providing an alternate justification for the use of \textit{society} in the simulations.


Table 1 and the Characteristics of Study Population (rstats)

@machinelearnbot

In research, especially in medical research, we describe characteristics of our study populations through Table 1. The Table 1 contain information about the mean for continue/scale variable, and proportion for categorical variable. For example: we say that the mean of systolic blood pressure in our study population is 145 mmHg, or 30% of participants are smokers. Since is called Table 1, means that is the first table in the manuscript.


Long Speech, Lots of Tea: Party Meeting With Chinese Characteristics

U.S. News

The speech was broadcast live and images of groups of people watching it quickly circulated on social media - doctors at a hospital, Tibetan monks, prisoners in a detention center, and even children in kindergarten. One posting showed a cat sitting in front of a TV broadcasting the speech.