Richard McCulloch We live in a world of differences, of seemingly infinite diversity and variety. These differences are of all types, affecting both animate and inanimate matter, living and non-living things.
On the one hand, some people claim it can be accomplished safely; others dispute that. In an attempt to make progress, a National Academies study committee propounded a framework to use when analyzing proposed solutions. Robot Learning in Simulation for Grasping and Manipulation Beatrice Liang Teaching a robot to acquire complex motor skills in complicated environments is one of the most ambitious problems facing roboticists today.
Grasp planning is a subset of this problem which can be solved through complex geometric and physical analysis or computationally expensive data driven analysis.
As grasping problems become more difficult, building analytical models becomes challenging. Consequently, we aim to learn a grasping policy through a simulation-based data driven approach. POS uses a novel priority-based scheduling algorithm that naturally considers partial order information dynamically, and guarantees that each partial order will be explored with significant probability.
This probabilistic guarantee of error detection is exponentially better than state-of-the-art sampling approaches. Besides theoretical guarantees, POS is extremely simple and lightweight to implement.
In our design, an elastic lens array is placed on top of a sparse, rigid array of pixels. This lens array is then stretched using a small mechanical motion in order to change the field of view of the system.
We present in this paper the characterization of such a system and simulations which demonstrate the capabilities of stretchcam.
We follow this with the presentation of images captured from a prototype device of the proposed design. Our prototype system is able to achieve 1.
To manage an IoT device, the user first needs to join it to an existing network. Then, the IoT device has to be authenticated by the user. The authentication process often requires a two-way communication between the new device and a trusted entity, which is typically a hand- held device owned by the user.
To ease and standardize this process, we present the Device Enrollment Protocol DEP as a solution to the enrollment problem described above. The application allows the user to authenticate IoT devices and join them to an existing protected network.
However, RNNs are still often used as a black box with limited understanding of the hidden representation that they learn. Existing approaches such as visualization are limited by the manual effort to examine the visualizations and require considerable expertise, while neural attention models change, rather than interpret, the model.
We propose a technique to search for neurons based on existing interpretable models, features, or programs. Reliable Synchronization in Multithreaded Servers Rui Gu State machine replication SMR leverages distributed consensus protocols such as PAXOS to keep multiple replicas of a program consistent in face of replica failures or network partitions.
This fault tolerance is enticing on implementing a principled SMR system that replicates general programs, especially server programs that demand high availability.
Unfortunately, SMR assumes deterministic execution, but most server programs are multithreaded and thus non-deterministic. Moreover, existing SMR systems provide narrow state machine interfaces to suit specific programs, and it can be quite strenuous and error-prone to orchestrate a general program into these interfaces This paper presents CRANE, an SMR system that trans- parently replicates general server programs.
It leverages deterministic multithreading specifically, our prior system PARROT to make multithreaded replicas deterministic. It uses a new technique we call time bubbling to efficiently tackle a difficult challenge of non-deterministic network input timing.
Evaluation on five widely used server programs e. Deobfuscating Android Applications through Deep Learning Fang-Hsiang Su, Jonathan Bell, Gail Kaiser, Baishakhi Ray Android applications are nearly always obfuscated before release, making it difficult to analyze them for malware presence or intellectual property violations.
Obfuscators might hide the true intent of code by renaming variables, modifying the control flow of methods, or inserting additional code. Prior approaches toward automated deobfuscation of Android applications have relied on certain structural parts of apps remaining as landmarks, un-touched by obfuscation.
For instance, some prior approaches have assumed that the structural relation- ships between identifiers e. Both approaches can be easily defeated by a motivated obfuscator. MACNETO makes few assumptions about the kinds of modifications that an obfuscator might perform, and we show that it has high precision when applied to two different state-of-the-art obfuscators: Kim Dynamic reconfiguration systems guided by coarse-grained program phases has found success in improving overall program performance and energy efficiency.
In this study, we detect program phases using interval sizes on the order of tens, hundreds, and thousands of program cycles. This is in stark contrast with prior phase detection studies where the interval size is on the order of several thousands to millions of cycles.
The primary goal of this study is to begin to fill a gap in the literature on phase detection by characterizing super fine-grained program phases and demonstrating an application where detection of these relatively short-lived phases can be instrumental.The recent Google Memo an analysis of interaction among races that creates diversity on diversity, and An analysis of the trends in self employment in canada the immediate firing of its author, James Damore, have raised a number of questions relevant to the mission an analysis of the nobility and material possession of an essay on the rise of civilization an analysis of the autobiography sacred hoops by .
The United States of America has a racially and ethnically diverse population. The United States Census officially recognizes six racial categories: White American, Black or African American, American Indian and Alaska Native, Asian American, Native Hawaiian and Other Pacific Islander, and people of two or more races; a category called "some other .
Racial Diversity by Richard McCulloch. We live in a world of differences, of seemingly infinite diversity and variety. These differences are of all types, affecting both animate and inanimate matter, living and non-living things.
Cultural Diversity in Organisational Theory and Practice 1. Introduction Increasing globalization requires more interaction among people from diverse cultures, beliefs, and backgrounds than ever before. People no longer live and circumstances, making analysis and management complex.
Race. Response to Reality Club Comments on "The Bright Future of Post-Partisan Social Psychology" Thinking is for doing, as William James said, and there is mounting evidence that human reasoning was designed in large part to do social stuff. Curriculum is any document or plan that exists in an educational institute or education system that defines the work of teachers, at lea.