We propose a new Real-coded GA(RCGA) using the combination of two crossovers, UNDX-m and EDX. The search region of UNDX-m is biased to the inside area that the population of the RCGA covers. Because of this search bias, the GA using UNDX-m causes stagnation of its search if the cost function has a kind of structure, so called, a ridge structure or a multiple-peak structure. In order to overcome this stagnation, we propose a new crossover EDX, whose search is biased (...) toward extrapolative one. Experimental results show that RCGA with EDX can deal with both ridge-structure function whose dimension reaches more than hundreds and multiple-peak function whose optimum resides at the corner of the search area. (shrink)

Broadening access to both computational and educational resources is crit- ical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages low-cost and globally (...) accessible hardware and encourages the development of complete, self-contained applications, from data collection to deployment. To this end, a collaboration between academia and industry produced a four part MOOC that provides application-oriented instruction on how to develop solutions using TinyML. The series is openly available on the edX MOOC platform, has no prerequisites beyond basic programming, and is designed for global learners from a variety of backgrounds. It introduces real-world applications, ML algorithms, data-set engineering, and the ethi- cal considerations of these technologies through hands-on programming and deployment of TinyML applications in both the cloud and on their own microcontrollers. To facili- tate continued learning, community building, and collaboration beyond the courses, we launched a standalone website, a forum, a chat, and an optional course-project com- petition. We also open-sourced the course materials, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies. (shrink)

How do digital platforms govern their users? Existing studies, with their focus on impersonal and procedural modes of governance, have largely neglected to examine the human labor through which platform companies attempt to elicit the consent of their users. This study describes the relationship labor that is systematically excised from many platforms’ accounts of what they do and missing from much of the scholarship on platform governance. Relationship labor is carried out by agents of platform companies who engage in interpersonal (...) communications with a platform’s users in an effort to align diverse users’ activities and preferences with the company’s interests. The authors draw on ethnographic research conducted at AllDone (a for-profit startup that built an online market for local services) and edX (a non-profit startup that partnered with institutions to offer Massive Open Online Courses). The findings leverage variation in organizational contexts to elaborate the common practices and divergent strategies of relationship labor deployed by each platform. Both platforms relied on relationship workers to engage in account management practices aimed at addressing the particular concerns of individual users through interpersonal communications. Relationship workers in each setting also engaged in community management practices that facilitated contact and collaboration among users in pursuit of shared goals. However, our findings show that the relative frequency of relationship workers’ use of account management and community management practices varies with organizational conditions. This difference in strategies also corresponded to different ways of valuing relationship workers and incorporating them into organizational processes. The article demonstrates how variation in organizational context accounts for divergent strategies for governing user participation in digital platforms and for the particular processes through which governance is accomplished and contested. (shrink)