Limited offer starts with 30% discount to students internationally
BERLIN, Germany – 12th July 2018 – Iris.ai, the company using AI to help speed up the research process for academic and corporate R&D, has launched the exclusive pre-sale for its AIUR tokens. The tokens are now available to students and researchers from academic institutions – with a pre-sale discount of up to 30%.
AIUR tokens will support Iris.ai’s Project Aiur – the project that allow scientists to semi-automate the time-consuming process of checking the factual base of any research hypothesis. Using the latest AI and blockchain technology to assess and appraise the validity of a piece of scientific research, Project Aiur is set to fight misinformation in science and aims to eventually fix the perverse incentives of the current scientific process. AIUR tokens can be used to demand services from the knowledge validation tool and from directly linked third party services like Iris.ai’s Premium Tools.
Minimum purchase volume for the AIUR tokens is approximately €80 corresponding to 20 AIUR where each token is valued, pre discount, at ETH 0.01 (c. €4). Participants will need to be affiliated with a university as either students or researchers to qualify. A 30 per cent discount will be offered during the first two weeks of the launch after which it will drop to 25 per cent, 22 per cent and 20 per cent over consecutive two-week periods.
Anita Schjøll Brede, CEO and co-founder of Iris.ai said: “The process of scientific enquiry is so often hampered by a prevalence of poor quality research. The current academic funding system makes academics and researchers reliant on quantity rather than the quality of their work, leading to shaky assumptions and irreproducible results. This system is controlled by a minority of publishing houses who are profiting from the hard work of academics and researchers while damaging the overall quality. This is why we are launching this special presale only for these academics.”.”
The goal of Project Aiur is to liberate researchers and academics from a system of misaligned incentives that encourages them to exaggerate facts and omit assumptions as they are told to produce quantity over quality. As it stands such practices are deemed acceptable in an industry that lacks accountability and is driven solely by profit rather than a commitment to the betterment of scientific progress.
Schjøll Brede continued, “In creating community-owned tools to fact-check scientific content and creating new incentives for Open Access publishing, we will have an opportunity to seize power back from these publishing houses and will hand it back to the academic community that does all the hard work. Our core user base will be the academic and scientific community. At time when science plays such a powerful role in society, if you are a person in the field who wants to see progress and integrity in scientific endeavours, join Project Aiur and own AIUR tokens.”
Visit projectaiur.com for more information.
Iris.ai, founded 2015, is an Artificial Intelligence tool which helps researchers in industry and academia to find the scientific knowledge they need. Sifting through scientific papers is difficult, often requiring researchers in university or corporate R&D labs to find what amounts to a needle in a haystack. Relevant data could be buried somewhere in millions of published articles, with thousands more publishing every day. Iris.ai semi-automates the process by using AI to help find those needles. Iris.ai significantly cuts the resources required to carry out scientific research compared to using traditional search tools. The more complex the task, the more time it saves. That’s why Iris.ai has a growing number of universities, corporations, and research institutions adopting it.
In 2017, Iris.ai was selected as one of the world’s ten “Most Innovative Companies” in AI by Fast Company, and in 2016, participated in TechCrunch‘s Disrupt as one of the 13 most promising early-stage companies from more than 600 applicants around the world. The company also featured in the $5M IBM Watson AI XPRIZE, advancing to the next stage of the competition, and has been featured in Science Magazine as one of the leading companies worldwide for the AI exploration of scientific literature.
Find out more at https://iris.ai/
Author : Neil Suchak, Junior Account Executive
Note : This is a paid press release please read here – Press Release