Many scholars have not been able to share their findings until it has been published in a journal. This will result in delays of months, often years, owing to long publishing periods. Writers are rightly disappointed with the length of time it takes to share their findings and to enjoy the rewards of a written research paper. But imagine if you could publish your paper online when you’re under the process of peer review so other researchers can see what you’re working on? Which is why preprints are created, and more and more researchers are using them for this very purpose. Are you thinking of submitting a preprint for the first time? You may not know what are required for uploading a preprint. …
Unfortunately, there is no “teaching data” for humans to become AI Engineer after few hours but don’t worry we have you covered and give you a basic understanding on how to take steps to become a top class AI Engineer. Artificial Intelligence has been buzz word for quite a few years but it is not really a common knowledge. Some think it might take over the world So, what does it really mean?
Artificial Intelligence (AI) is a computer science research for the creation of applications or computers that exhibit human intelligence and are growing at a rapid rate. It can be picking your news feed, Google Search Results or Facebook algorithms, AI is doing its job wonderfully. In short, the creation of AI is the science of machines that can find solutions to crises like human beings can do. From search engines to self-driving vehicles, AI has been at the forefront of contemporary innovations. According to reports, AI will reach your daily lives by 2025 (if not already), and AI jobs will be among the fastest-growing jobs in the technology industry, providing additional employment opportunities for those with the right AI skills. AI Engineers’ wage careers are among the highest around the world. …
There has been a lot of excitement and anticipation regarding Artificial Intelligence with self-driving cars, quick translation, etc. looks like it is not distant future. On the other hand, people have serious fears of AI dominating the world and ending human civilization once for all just like the Hollywood movies. As you can understand from both sentiments, it is hard to see how AI affects the lives of ordinary people from time to time. Let’s take a look at instances of artificial intelligence you’re actually using — right now?
Before that let’s define AI. According to European Parliament, “AI is the ability of a machine to display human-like capabilities such as reasoning, learning, planning and creativity.” Basically, trying to digitalize the human though process. AI allows technological devices to understand their world, to interact with what they perceive, to solve challenges and to function to accomplish a given purpose. The computer receives data-already planned or obtained from its own sensors, such as a camera-processes and responds to it. What is different from “normal programmes” is that AI systems are able to modify their behaviour to a certain degree by analysing the effects of past acts and behaving individually. …
Throughout history, innovation has had a significant influence on economic development, but many analysts believe it is now difficult to extract significant benefits from a new idea than it was in the past. Technologies such as steam power and electricity converted countries such as the UK and the US from agrarian societies into manufacturing powerhouses during the industrial revolutions of the 18th and 19th centuries, changing living standards in the process. …
The classical depiction of a scientist as a person standing behind a table full of chemicals in a white laboratory coat is only valid for certain scientists and typically represents only part of their work. Most scholars never wear a lab coat at all. Many works behind a computer in areas that don’t need lab work to do their job. It could be for teaching or writing about research. Some work as business consultants, or as scientific journal editors. …
Mission 1: Drive Science
Evolve humanity by industrially developing and accelerating research to bring excitement in science.
“Onikle” is a brand-new preprint searching platform, but you might wonder “what is so different from conventional platform such as arXiv?” This blog will discuss the functions that makes Onikle a revolution in preprint platform or science world in general.
UI/UX
First let’s take a look at the main page of arXiv where most computer scientists look for leads in their AI research:
Since 2012, nearly 12,800 individuals and 872 scientific organisations have signed the San Francisco Declaration on Research Assessment (DORA). This organisation wishes to prevent the tradition of equating the journal impact factor with the merits of the contributions of scientists. DORA states, “this practice creates biases and inaccuracies when appraising scientific research.” It also states that the impact factor is not to be used as a substitute “measure of the quality of individual research articles, or in hiring, promotion, or funding decisions.” The Journal Impact Factor is a basic metric, initially developed to help librarians determine for their libraries what journals to purchase in an era where there increasing number of journals. The creator of Journal Impact Factor, himself mentioned that the metric should not be used for judging researchers. …
The journal impact factor has influenced academic activity since its inception about 40 years ago. Originally it was developed by Eugene Garfield, founder of the Institute for Scientific Information (currently Clarivate Analytics), to assist librarians in selecting which journals to subscribe. Now it is often used as a metric to measure researchers and their study. In recent years, many have raised doubts about the shortcomings of the index. In this blog we will be writing about the history and what Journal Impact Factor actually is.
The idea of Journal Impact Factor was first mentioned as an idea in Science magazine in 1955. This paper is known to be the primordial source for the Science Citation Index concept. Five years later, Garfield initiated the Genetics Citation Index experimental project that led to the release of 1961 Science Citation Index. The creator said in 2005, “in 1955, it did not occur to me that “impact” would one day become so controversial.” The impact factor is like knife, a mixed blessing. It will be used constructively though acknowledging that it could be exploited in the wrong hands. Irving H. Sher and Garfield developed the journal impact factor in the early 1960s to help pick journals for the new Science Citation Index (SCI). They actually re-sort the author’s citation index into the journal citation index to do this. From this basic index, they discovered that the new SCI need to cover range of broad and widely cited journals initially. …
What is the right way for academic institutions to evaluate research and scientists? Growing interest in this question is followed by an increasing awareness of critical issues in how scientific study is practiced and published. Asking this question is mistake in first place when the research is not designed and performed appropriately; there is a deficiency in reproducibility (a basic foundation of science); and findings remain incomplete, unpublished, or published based on certain agenda.
These issues are related to the mechanisms in which scientists are judged on almost every aspect of a researcher: their appointment, advancement in career, and tenure choices. Designing, writing, presenting, assessing, ordering, and choosing the right candidate for grant recipients, faculty member, and evaluation committees is a vigorous and mostly time-consuming. In a world where time is restricted and budget is limited, organizations need to make these hard decisions swiftly. Many modern evaluation efforts mainly regard what is readily determined, such as the quantity of grants funded and the amount the scientists gained on citations from papers written. …
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