On Mendeley Careers: Artificial Intelligence: Technology at Work

As machines become more intelligent, what will the future of science and research be?

On Mendeley Careers, we’ve just published an interview with Professor Paul Chung of Loughborough University; we’re looking at the future of science, research, work and society as Artificial Intelligence research advances:

Artificial Intelligence is one of the ‘hot topics’ in science; recently, Tesla’s Elon Musk announced he was beginning a new venture, Neuralink, to “merge the human brain with AI”. But apart from visions of cyborgs dancing the heads of science fiction writers, what are the implications of Artificial Intelligence? For the general public? For researchers? And for the future of employment?

Click here to read the full interview.

Need Funding for Your AI Research?

Here are some of the latest funding opportunities for artificial intelligence and robotics researchers provided by Mendeley Funding:

Country Organisation Opportunity
USA NASA Artificial intelligence for human space exploration applications
USA Department of Defence Spectrum allocation using Artificial Intelligence for software defined radios in a tactical environment
USA Department of Defence Joint Program Committee-1 (JPC-1)/Medical Simulation and Information Sciences (MSIS) research program utilizing Machine Learning and Artificial Intelligence for Medical Training Needs (MACH Learning) award
USA Oak Ridge Associated Universities ORNL Critical infrastructure modeling post-master’s research associate
USA National Institutes of Health BRAIN Initiative: Team-Research BRAIN circuit programs – TeamBCP
USA Oak Ridge Associated Universities Imaging, signals and machine learning post-master research associate
USA Department of Defence Robotic following using deep learning
UK University of Southampton PhD Studentship: Enhancing Autonomous Guidance & Navigation with Deep Learning AI Technologies
UK Coventry University Associative Neural Networks Model for Developing Emotional Communication for a Robot Buddy
UK Coventry University An Empathic Robot Companion to Improve User Mood and Well-Being
UK Coventry University Robot Homing Deeply Reinforced by Another Robot
EU Horizon 2020 Interfaces for accessibility – RIA Research and Innovation action
EU Horizon 2020 Advanced robot capabilities research and take-up – RIA Research and Innovation action
EU Horizon 2020 Advanced robot capabilities research and take-up – IA Innovation action
Australia University of Newcastle, Australia PhD Scholarship – Power Engineering, Sensor Technology, Artificial Intelligence

Submit your paper for Mining Scientific Publications Workshop!

Data Mining Workshop

The 3rd International Workshop on Mining Scientific Publications will take place from the 8th to the 12th September in London, and is a cross-disciplinary workshop for researchers, industry practitioners, digital library developers, and open access enthusiasts. Kris Jack, Chief Data Scientist here at Mendeley is co-organizing the event along with CORE, the Open UniversityAthena Research and Innovation Center, and the European Library/Europeana .

The aim is to bring together people from different backgrounds to explore the possibilities around data mining tools, and how they can be used to save researcher’s time by finding and processing huge amounts of information quickly and easily.

We’re asking for submissions before the 13th July 2014 from those interested in analysing and mining databases of scientific publications, developing systems to enable such analysis, or designing new technologies to improve research and the free availability of research data. Researchers should submit their papers online, for inclusion in the programme. Both long papers (up to eight pages in the ACM style) and short papers (not exceeding four pages) are welcome, as are practical demonstrations and presentation of systems and methods (demonstration submissions should consist of a two-page description of the system, method or tool).

“We’re looking to attract researchers from across academia and industry to work through the amazing possibilities and challenges around mining scientific content. The collaborations that come from these initiatives always yield really interesting results, so I’m looking forward to see what submissions we get through this year” says Kris

The workshop will be structured around three main themes:

  1. The whole ecosystem of infrastructures, including repositories, aggregators, text-and data-mining facilities, impact monitoring tools, datasets, services and APIs that enable analysis of large volumes of scientific publications.
  2. Semantic enrichment of scientific publications by means of text-mining, crowdsourcing or other methods.
  3. Analysis of large databases of scientific publications to identify research trends, high impact, cross-fertilisation between disciplines, research excellence etc.

This year, we also put together a CORE publications dataset containing a large array of publications from various research areas. This includes full-text as well as enriched versions of metadata, with the aim of providing workshop participants with a framework for developing and testing methods and tools around the workshop topics. You can access this data through the CORE portal.

If you have any questions or comments, leave them below or tweet @WOSP2014

The Top 10 research papers in computer science by Mendeley readership.

Since we recently announced our $10001 Binary Battle to promote applications built on the Mendeley API (now including PLoS as well), I decided to take a look at the data to see what people have to work with. My analysis focused on our second largest discipline, Computer Science. Biological Sciences (my discipline) is the largest, but I started with this one so that I could look at the data with fresh eyes, and also because it’s got some really cool papers to talk about. Here’s what I found:Read More »