Leaders of Asia-Pacific economies have failed to agree a communique at a summit in Papua New Guinea after a war of words between the US and China over trade and investment.

Facebook has found itself drawn into an escalating political row in Sri Lanka as opposition MPs accuse the ruling party of using data to launch a crackdown.

Theresa May will step up her fightback against moves by Conservative MPs to oust her with a hard-hitting speech to business leaders on immigration.

Nick Collier is to become the City of London Corporation’s key representative in Brussels after Brexit – Reports Sky News

Banking and housebuilding stocks remain under pressure as businesses exposed to the UK economy continue to feel the heat from the ongoing political crisis over Brexit.


Amazon says its new second headquarters will be split between New York City and Arlington, Virginia – ending months of speculation.

An investigation by cyber security firm Symantec has now uncovered that the North Korean government is stealing tens of millions of dollars by hacking into banks and forcing ATMs to dispense cash to mules.


Can India Become an AI Hub for the Developing World?

India cannot and will not compete with China in the AI realm—instead it will play to its advantages by becoming a global AI hub for non-Chinese and non-Western markets.

India is the latest country to join the race to lead the AI revolution, which is still in the making. The world’s richest – and most powerful – countries have long been in this competition. It cuts across all spheres of national power, from the economy to the military, because the idea is that leadership in AI will enable global dominance.

The two biggest powers so far have been the United States and China, with each investing heavily in AI and its applications. So does India stand a chance?

Yes, according to a report released this month by think tank Niti Aayog.


The report – which has been drafted as a “national strategy on AI” – admits that India lags significantly behind the superpowers in fundamental research and resources. Compared to the United States, it has fewer researchers and only a handful of dedicated laboratories and university departments. India also does not have tech giants such as Google and Amazon or behemoths like Baidu and Alibaba – all companies that can afford to invest in cutting-edge research.

But India enjoys crucial advantages too. It has a vast engineering workforce, a burgeoning start-up scene and an increasing amount of data as more people buy smartphones and go online.

The report itself is the latest in a slew of recent endeavours by the Indian government to encourage AI research. The federal government has created special committees to explore the possibilities AI offers in various sectors, from commerce to defence, as well as the issues that could arise from its widespread use. This year’s budget allocated money to develop a national AI strategy.

Part of that strategy envisions India becoming an “AI garage” of sorts for most of the developing world – a platform for AI-led social innovations, what the report describes as #AIforAll. The report identifies five areas that would benefit most from AI intervention: healthcare, agriculture, education, “smart cities” and infrastructure, and urban transport.


The report also understands the challenge in deploying AI on a massive scale. For one, it is expensive. Secondly, there is a dearth of resources. India currently lacks the expertise to do the research and apply it – and it also doesn’t have the vast networks of data to enable AI. Lastly, there is little awareness about the technology and the risks it poses to privacy and security. Regulation of data – how it is collected and used – is still at a nascent stage, which makes powerful technologies like AI vulnerable to misuse.

But the report sets out a two-tier plan to overcome these barriers and boost AI research. It envisages that top Indian universities will take charge of fundamental research while specialised centres will collaborate with the private sector to lead the application of AI.

This is ultimately expected to lead to the founding of a national “AI marketplace” that will aid innovation – an Indian version of what has been called a “Cern for AI”, a reference to the world’s largest particle physics laboratory in Switzerland.


What stands out about the report is its suggestion that India cannot and will not compete with China in the AI realm – instead it will play to its advantages by becoming a global AI hub for non-Chinese and non-Western markets.

What about AI’s potential impact on jobs? The report is silent on this issue and with good reason.

A lot of the arguments in favour of and against AI are still speculative, especially in relation to India. It is possible that the use of AI could eliminate certain jobs that exist now. But, as has happened elsewhere, it is also highly likely that AI will create a new class of jobs. It is too early to know either way.

The report declares India’s ambition to carve a niche for itself in an increasingly AI-driven world. It should not be seen as the government’s final strategy but only as a credible first step in a drawn-out, and potentially transformative, policy.


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