On the challenges and opportunities in visualization for machine learning and knowledge extraction: A research agenda

We describe a selection of challenges at the intersection of machine learning and data visualization and outline a subjective research agenda based on professional and personal experience. The unprecedented increase in the amount, variety and the value of data has been significantly transforming the way that scientific research is carried out and businesses operate. Within data science, which has emerged as a practice to enable this data-intensive innovation by gathering together and advancing the knowledge from fields such as statistics, machine learning, knowledge extraction, data management, and visualization, visualization plays a unique and maybe the ultimate role as an approach to facilitate the human and computer cooperation, and to particularly enable the analysis of diverse and heterogeneous data using complex computational methods where algorithmic results are challenging to interpret and operationalize. Whilst algorithm development is surely at the center of the whole pipeline in disciplines such as Machine Learning and Knowledge Discovery, it is visualization which ultimately makes the results accessible to the end user. Visualization thus can be seen as a mapping from arbitrarily high-dimensional abstract spaces to the lower dimensions and plays a central and critical role in interacting with machine learning algorithms, and particularly in interactive machine learning (iML) with including the human-in-the-loop. The central goal of the CD-MAKE VIS workshop is to spark discussions at this intersection of visualization, machine learning and knowledge discovery and bring together experts from these disciplines. This paper discusses a perspective on the challenges and opportunities in this integration of these discipline and presents a number of directions and strategies for further research

Special Libraries, March 1970

Volume 61, Issue 3https://scholarworks.sjsu.edu/sla_sl_1970/1002/thumbnail.jp

Event program

UNLV Undergraduates from all departments, programs and colleges participated in a campus-wide symposium on April 16, 2011. Undergraduate posters from all disciplines and also oral presentations of research activities, readings and other creative endeavors were exhibited throughout the festival

Event program

UNLV Undergraduates from all departments, programs and colleges participated in a campus-wide symposium on April 16, 2011. Undergraduate posters from all disciplines and also oral presentations of research activities, readings and other creative endeavors were exhibited throughout the festival

A Plunge into Otherness. Ethics and Literature in Machines Like Me by Ian McEwan

The paper intends to propose a reading of Ian McEwan’s latest novel, Machines Like Me (2019), qua insightful reflection on the topic of Artificial Intelligence and its bearings on different aspects of human life, from interpersonal relationships to moral behaviour. At the same time, the novel also engages in a reflection on the value and the prospects of literature, whose very premises might be called in question in a posthuman context. Set in a 1980s world whose contours radically deviate from historical facts – the atomic bomb was never dropped; Kennedy was not killed in Dallas; the Beatles are still a band; and Alan Turing has survived the conviction for homosexuality and successfully carried on his studies on AI – the novel introduces the simulacrum in the form of an android, Adam, a hyper-sophisticated machine that enters the characters’ life and upsets it thoroughly. The troublesome relationship with Adam forces Charlie, the protagonist-narrator, to ponder on his own system of values, posing questions about the Other which inevitably end up throwing new light – but, above all, casting new doubts – on the Self and on what it ultimately means to be human. By way of his “What if novel” set in an alternative past, McEwan tackles pressing issues of our present, while trying to envisage a future that is not far to come. The paper intends to explore both the ethical and the metaliterary level of the story on the background of the contemporary theoretical debate on transhumanism and posthumanism, pointing to the simulacrum as the uncanny catalyser of the major topics the author intends to tackle. &nbsp

Special Libraries, Summer 1992

Volume 83, Issue 3https://scholarworks.sjsu.edu/sla_sl_1992/1002/thumbnail.jp

Internet of Nano-Things, Things and Everything: Future Growth Trends

The current statuses and future promises of the Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano-Things (IoNT) are extensively reviewed and a summarized survey is presented. The analysis clearly distinguishes between IoT and IoE, which are wrongly considered to be the same by many commentators. After evaluating the current trends of advancement in the fields of IoT, IoE and IoNT, this paper identifies the 21 most significant current and future challenges as well as scenarios for the possible future expansion of their applications. Despite possible negative aspects of these developments, there are grounds for general optimism about the coming technologies. Certainly, many tedious tasks can be taken over by IoT devices. However, the dangers of criminal and other nefarious activities, plus those of hardware and software errors, pose major challenges that are a priority for further research. Major specific priority issues for research are identified

Washington University Record, January 18, 1996

https://digitalcommons.wustl.edu/record/1709/thumbnail.jp