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. The term to describe the new revolution is coined as “Society 5.0”. This new Society 5.0 about maximizing the use of digital advancement and innovation. One key take away from each advancement is…
I am probably not the only one when I open Amazon and see somehow the product they recommend was something I was looking for. As anything in this world, it is not magic and there is something behind it. Well that something behind is Artificial Intelligence, as you might have already guessed. It seems in comparison to Alphabet/Google, Facebook, Uber, and Apple, Amazon takes a low-key approach to using analytics, artificial learning, and AI. 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…
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. According to LinkedIn’s “Jobs on the Rise” report for 2021, AI expert is one of the 15 fastest-growing career possibilities, with a 32% rise in jobs between 2019 and 2020. This demand for AI experts directly translates to the demand for academic institution offering courses that deal with you AI. As a student, you still have the opportunity to make a career in AI. But how do you start? …
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?
So, how do people research? There is Google Scholar, Semantic Scholar, Pubmed, PLOS, or Nature Communications. You might separate the use of such search engines depending on what kind of papers you want. Inspirations for Google Scholar. Preprints for arXi. Code for Paper with code…
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. Apple has not had a mainstream image for being a leader in this field in the past. This is due in part to the fact that people equate AI with digital assistants, and critics often describe Siri as less helpful than Google Assistant or Amazon Alexa. And, when it comes to machine learning, many tech fans believe that more data equals improved models — but Apple is not popular for…
When I started using Facebook in 2009 it was a simple platform where I messaged and shared photos with my friends. Today, the site is much more powerful and constantly adds new capabilities beyond simple networking with old mates. For a common user of Facebook, AI seems a distance topic. Or well at least before 2016 USA elections. But as you might heard in 2018, how Cambridge Analytica, a company that worked on Donald Trump’s 2016 presidential election campaign, has secretly taken tens of millions of Americans’ personal data from their Facebook pages in an effort to manipulate how they…
Parent Company of Google: Alphabet’s long-term prospects rely heavily on artificial intelligence. AI is the connecting thread that links search and ads, cloud, autonomous vehicles, healthcare, and a slew of the company’s other. This blog will look into Google’s approach to AI.
In a keynote address to promote Google’s first high-end Pixel smartphones in October 2016, CEO Sundar Pichai emphasized the relevance of artificial intelligence to the future of technology, stating, “It is clear to me we are evolving from a mobile-first to an AI-first world.” …
CODEX
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. Businesses are looking for AI experts to work on projects ranging from modelling risk in finance to developing crop-harvesting robots. On the other hand, Universities have long been a source of gifted leaders for industries, but a mass departure of academic researchers with expertise in artificial intelligence has raised important questions for the future. This blog will look into why this might be happening.
According to a report released in 2018…
CODEX
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. Although the US witnessed a steady increase in research efforts by both public institutions and the private industry, China still engaged in manufacturing cheap plastic products for the world. But in recent years, China has shifted gear to catch up quickly. From a scientific point of view, China has become a global leader in AI publications and patents. …
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. All in all, people have this concept where major journals are guardians of science. But in reality, their excessive power and lack of professionalism has led to detrimental issues for many researchers. This blog will cover the unthinkable for many researchers: peer-reviewers appointed by journals plagiarizing the submitted works instead of checking and providing meaningful feedback.
While only a few instances…
