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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.
According to Forbes, venture funding in AI companies had cross the mark of unbelievable $61 billion from 2010 through the Q1 of 2020. As the giants of the tech industry use various artificial intelligence applications to remain ahead of the competition, startups can also use AI to achieve efficiencies on their own and stop wasting the little resources they have.
Japan, land of rising sun, once was a beacon of all technological advancement but recently that image has been eroded. When it comes to Artificial Intelligence (AI), it is quite evident that the United States and China are leading the way. We will introduce the top 5 AI companies in Japan.
Artificial Intelligence (AI) is a fast-growing sector and the talent pool is highly desired. Due to this demand, the incomes of AI engineers continue to rise. If you’re considering joining the AI market, it’s helpful to know what you should expect from this modern Gold Rush.
If you are new to academic world you might be surprised to hear this: when you publish your work in reputable journals you essentially lose copyright to your paper. This blog will look into the difference between copyright policies of preprints and journals.
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. This blog will give tips on writing a preprint paper.
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.
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. Let’s take a look at instances of artificial intelligence you’re actually using — right now?
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.
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.
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