Artificial intelligence (AI) has already been identified as a crucial technology front, as nations and companies jockey to gain the edge in developing AI-driven applications. The potential impact of AI cannot be understated in today's business, with AI being considered a force multiplier because of its capacity to amplify company resources and to maximize output. Technology powerhouses are well aware of the ability of AI to transform businesses in a variety of ways, which explains why so much money is being poured into AI startups. Spend on AI systems is expected to top US$77.6 billion in 2022, according to one IDC report, while another commissioned by Microsoft illustrated that AI will almost double the rate of innovation and workforce productivity in the Asia Pacific (APAC) region in the next three years. With plenty of innovation being driven by AI, protecting these artificial intelligence inventions becomes crucial as well. And not just by organizations – the US government has pledged to boost spending on AI next year by as much as US$1.5 billion, with US' chief technology officer, Michael Kratsios, implicitly stating that the Trump administration had taken "unprecedented action to prioritize American leadership in AI […]" as the technology is increasingly seen as having strategic implications for the innovation leaders.

TensorFlow is a library of files that allows researchers and computer scientists to build systems that break down data, like photos or voice recordings, and have the computer make future decisions based on that information. This is the basis of machine learning: computers understanding data, and then using it to make decisions. When scaled to be very complex, machine learning is a stab at making computers smarter. TensorFlow is extraordinary complex, because of its precision and speed in digesting and outputting data, and can unequivocally be placed in the realm of artificial intelligence tools.

TensorFlow is a library of files that allows researchers and computer scientists to build systems that break down data, like photos or voice recordings, and have the computer make future decisions based on that information. This is the basis of machine learning: computers understanding data, and then using it to make decisions. When scaled to be very complex, machine learning is a stab at making computers smarter. TensorFlow is extraordinary complex, because of its precision and speed in digesting and outputting data, and can unequivocally be placed in the realm of artificial intelligence tools.

GENEVA, Jan. 31 (Xinhua) -- China, together with the United States, lead the global competition to dominate artificial intelligence (AI), a study …

COMMANDING the plot lines of Hollywood films, covers of magazines and reams of newsprint, the contest between artificial intelligence (AI) and mankind draws much attention. Doomsayers warn that AI could eradicate jobs, break laws and start wars. The competition today is not between humans and machines but among the world's technology giants, which are investing feverishly to get a lead over each other in AI. An exponential increase in the availability of digital data, the force of computing power and the brilliance of algorithms has fuelled excitement about this formerly obscure corner of computer science. The West's largest tech firms, including Alphabet (Google's parent), Amazon, Apple, Facebook, IBM and Microsoft are investing huge sums to develop their AI capabilities, as are their counterparts in China. Although it is difficult to separate tech firms' investments in AI from other kinds, so far in 2017 (see chart 1) companies globally have completed around $21.3bn in mergers and acquisitions related to AI, according to PitchBook, a data provider, or around 26 times more than in 2015.

Commanding the plot lines of Hollywood films, covers of magazines and reams of newsprint, the contest between artificial intelligence (AI) and mankind draws much attention. Doomsayers warn that AI could eradicate jobs, break laws and start wars.

Over the last year, there have been a growing number of media reports on Chinese advances in artificial intelligence (AI), as well a state-led push to boost the industry. The results: "China lags far further behind than many had imagined." In related news, Reuters says that internet giant Baidu, one of China's leading AI firms, will form a "7 billion yuan ($1 billion) private equity fund together with China Life Insurance Group, one of the country's biggest insurers. The find will focus on "unlisted companies with'significant association;' with China, in the internet sector, including mobile internet, artificial intelligence, and internet finance." For more on AI in China, listen to these Sinica Podcast episodes with Kai-fu Lee 李开复 and Andrew Ng.

As artificial intelligence become more and more applied to technologies all around us, we have read alot about recruiting tech talent from big tech giants. This companies want to dominate artificial intelligence, something that have been done in the world of technology ever since IBM was the bigest seller on mainframes. We had Microsoft dominating PC industry, Google dominating search engine, Facebook dominating social media. They want the same to happend to artificial intelligence, and right now the bigest player is Google with DeepMind. Tech giants have become very aggresive about recruiting tech talent, because in Silicon Valley the most valuable asset is not the money but the tech talent.