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Transformer has made significant contributions to the field of NLP since it was proposed by the paper Attention is All you Need. Furthermore, beyond NLP, it is beginning to be widely used in computer vision. The core of the transformer is the matrix mapping of attention by self-attention. This time, I would like to introduce a paper called transformer, attention free transformer, which requires almost no attention.
The proliferation of so-called “predatory” journals, which provide speedy publishing without peer review or considerable editorial control, is another result of this increase in demand for publication channels.To counter the current science climate, Open Science has emerged.
George Forsythe coined the phrase “computer science” in 1961. Programming theory, data processing, numerical analysis, and computer system design are all terms used by Forsythe to describe the discipline. The first university computer science department was formed only a year later. Forsythe went on to build Stanford’s computer science department. Looking back on the history of computer science provides a useful background for today’s computer scientists.
The typical academic publication process of a journal is extremely time-consuming. The entire publishing process, from conducting research, drafting a paper, submitting for peer review, editing or rewriting if rejected, to ultimate publication, may be a long and arduous journey that can take several or even a dozen months. To speed up the process of discovery, to gain credit, or simply to benefit the world. As a result, the preprint servers were born.
Now we are at a new crossroads of human history. The term to describe the new revolution is coined as “Society 5.0”. This new Society 5.0 is spearheaded by Artificial Intelligence (AI) which has the potential to produce some of the most significant and disruptive breakthroughs of the twenty-first century. AI is expected to produce 2.3 million employment by the end of 2020, resulting in a net gain of 500,000 possibly new jobs, according to Gartner.
Humans have come a long way. We started from hunting and gathering (Society 1.0), then came to the agrarian society, when we started farming (Society 2.0). Then came the industrial revolution (Society 3.0) which accelerated our development to an unprecedented level. When we reached the information society (Society 4.0) we saw a whole new level of leap. Now we are at a new crossroads of human history. One of the ways to succeed in Society 5.0 is to have a career in Artificial Intelligence (AI). So, how do you do that? Get to know through this two-part series.
I am probably not the only one when I open Amazon and see somehow the product they recommend was something I was looking for. Over many years, Amazon has been an early adopter of algorithms and automation, granting them a competitive advantage of using AI to increase efficiencies, reduce costs, and improve customer service. It has been heavily invested within the company. This is the fourth part of a series on how notable tech giants work/develop with AI.
Who doesn’t want to be part this modern “Gold Rush”, or in other words Artificial intelligence (AI). AI Industry is one of the most rapidly expanding fields in technology. As a student, you still have the opportunity to make a career in AI. But how do you start? This blog will show you the top 5 universities that offer AI programmes.
Research. Research. Research. Life of a researcher has no end. It doesn’t matter if you are Einstein or Tesla, you would probably go to the library or if you are lucky enough to be born in this era and you probably just search through the internet. But does scientific research need to stay that way?
Machine learning (ML) and artificial intelligence (AI) are now present in virtually every aspect of the iPhone, but Apple hasn’t promoted these innovations as aggressively as some of its rivals. This is the third part of series on how notable tech giants work/develop with AI.
Artificial-intelligence (AI) researchers at all stages of their academic careers are drawn to industry by higher wages and benefits such as access to large data sets and computing resources.
China VS USA is a hot topic right now. This also holds true for another hot topic, AI research. Twenty years back, there was a major difference between China and the United States in level of AI research.
What is the first thing you think of when you hear about academic journals? Your goal as a researcher? A steppingstone for your career? An institution where they ensure the quality of science that is seen by the world.
Over the past few years, artificial intelligence has been developing at a fantastic rate and A.I. could mean $15.7 trillion to the global economy by 2030, according to PwC. It is always great to have people boarding on the same ship.
Publishing journals is a big industry. The market-size for English-language journals in 2017–2021 was valued at US$9.9 billion for newspaper subscriptions in the STM region alone. Globally, more than 28,000 peer-reviewed publications are available and 1.8 million to 1.9 million new papers are written annually; annual full-text updates are valued at 2.5 billion. Almost 1% of expenditure of universities is on Journals.
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