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The purpose of this paper is to describe the process of selecting and customizing XTF open source digital library software for a unique application. The paper describes how Rutgers University Libraries, in collaboration with the University of Liberia, and with grants from the Engineering Information Foundation (EIF), the United States Agency for International Development (USAID), and with contributions from the International Society of Electrical Engineers (IEEE), have created The EAKO System – Engineering Access to Knowledge Offline, a prototype “Library in a Box” for engineering information at the University of Liberia. The product runs on the open source platform XTF, created by California Digital Library, and is based on TEEAL, The Essential Electronic Agricultural Library, developed by Cornell University. Because internet access is extremely limited in Liberia, The EAKO System, like TEEAL, will work entirely offline.

Over 20 open source software programs were considered during the development of the prototype. XTF was selected based on its ease of use and adaptability.

XTF is an easily customizable and powerful open source digital library solution, which met the needs of The EAKO System.

The amount of time required to enter data into the product was an issue. Solutions to streamline the process are being investigated.

Future development includes more automation of data entry, as well as creating mobile access.

The EAKO System could be easily adapted to other areas of information need, in developing countries and elsewhere.

Using the open source software XTF for an offline information resource is a novel application, which may be of value in other developing countries where internet access is limited.

Integration of library services via automated means does not require that the patron make abrupt shifts between interfaces or tools in order to take advantage of the vast array of resources a modern academic library provides. This can be accomplished in a seamless manner. This column aims to explore ways in which libraries can leverage the data sources of their parent institution to provide robust resources in the environments where their constituents typically perform their day to day work.

A literature review was done, but the column primarily relies on the experience of the author.

This column just scratches the surface for how libraries can better “fit in” with their parent institutions by leveraging already existing data sources. While this requires a high degree of cooperation with institutional partners, the return on that investment is very valuable.

Integration services are a key area in the provisioning of library services and content. Institutional data sources provide a rich source of information for catering library resources and content to individual students and faculty.

The aim of this paper is to find out best free mobile general dictionaries to recommend library users.

Google Play Store was reviewed to find out free but authentic dictionaries.

Even though there are more than 100+ free dictionaries available, out of it, two dictionaries, that is, Oxford Dictionary of English & Dictionary by Merriam-Webster, were found to be the best with prominent features such as search and learning tools.

The paper throws light on best free mobile dictionaries with their features which are rarely mentioned in literature.

In a world of mass technological advancement in our daily lives and in business, the HR function is facing an uphill battle. How can HR professionals ensure they are digitally transforming at the right pace for their business without losing the all-important human touch?

This paper outlines the thinking behind integrating artificial intelligence (AI) and automation technologies into HR, and it explores in depth each of the key ways in which we are beginning to see these technologies change HR as we know it. From operations to recruitment and interviewing, to on-boarding employees and maintaining performance, the opportunities are numerous – and they are right on the horizon.

AI and automation are already being integrated into HR in many organisations around the world. However, we can in the near future expect to see technology not only automating back-office functions, but increasingly taking on the more “human” elements of HR roles. There is a fine balance between man and machine, and while these technologies will increase efficiency, decrease bias and improve the value of HR in businesses, the human touch will always be the key to success.

This paper assesses not only how technology is impacting HR but also the interplay between man and machine, and it offers insights into how HR professionals can balance the need for digital transformation with the core human element of human resources. As such, it ties the human and the technology together inextricably, concluding that AI and humans work better together.

The purpose of this paper is to explain to readers how intelligent systems can fail and how artificial intelligence (AI) safety is different from cybersecurity. The goal of cybersecurity is to reduce the number of successful attacks on the system; the goal of AI Safety is to make sure zero attacks succeed in bypassing the safety mechanisms. Unfortunately, such a level of performance is unachievable. Every security system will eventually fail; there is no such thing as a 100 per cent secure system.

AI Safety can be improved based on ideas developed by cybersecurity experts. For narrow AI Safety, failures are at the same, moderate level of criticality as in cybersecurity; however, for general AI, failures have a fundamentally different impact. A single failure of a superintelligent system may cause a catastrophic event without a chance for recovery.

In this paper, the authors present and analyze reported failures of artificially intelligent systems and extrapolate our analysis to future AIs. The authors suggest that both the frequency and the seriousness of future AI failures will steadily increase.

This is a first attempt to assemble a public data set of AI failures and is extremely valuable to AI Safety researchers.

Summarises new and developing Web browser technologies. Describes three browsers, one with a “tabbed browsing” capability, another which includes a new productivity tool called a “search information manager”, and a voice operated browser which is still in development.

This paper aims to describe a case study illustrating the systematic approach librarians used to develop of an information literacy mobile application (app) prototype that aids students in performing research tasks “on the go”.

The initial findings from a student survey on technology use indicated the value of an information literacy mobile application. The analysis, design, development, implementation and evaluation approach was used to develop the app. Alpha and small-scale usability testing was performed to evaluate the prototype’s readiness for deployment.

The survey analysis indicated that students were not using mobile devices as expected for library related tasks. Student suggestions for improving their library experiences included mobile access to the libraries’ digital collection, mobile reference support and an application that assisted them in effectively using these resources. Usability studies indicated a positive response to the app and its readiness for beta testing among the inclusive student population.

To the author’s knowledge, this is the first native information literacy mobile application whose aim is to help students with research on the go. The step-by-step approach used for each phase of development, as well as the implications for success, may serve as a model for libraries’ seeking to enhance their mobile resources.