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When Argho Chatterjee decided to pursue UpGrad and IIIT Bangalore’s PG Program in Machine Learning and Artificial Intelligence, he knew he was diving straight into coding his own artificial neural networks, and had a fair idea that this technology could help him solve real-world problems. What came as a pleasant surprise was that he had the access to a personalised learning environment provided by the prestigious institute through its partnership with distinguished online education venture – UpG.  The two institutes have been working seamlessly to provide learners with an advanced curriculum, projects created in collaboration with the industry experts, and tailor-made support for AI career choices. In fact, the acclaimed degree went on to help Argho make a transition to the role of a Data Scientist ( Deep Learning (AI)) at Samsung R&D with 80% CTC hike!   Learning in a personalised environment under great faculty, Argho brushed up on the basics, imbibed conceptual knowledge, an

Article By Charles Radclyffe:  I was recently consulting for an organisation that was looking to implement a framework to govern the implementation of Artificial Intelligence (AI)  technologies. Like many organisations in their sector, they had been running various ‘lab’ experiments for some time, and had seen positive results; but there was still something holding them back from wholesale investment. A major consulting firm had encouraged them to ‘accelerate’ their innovation by using a framework to govern the roll-out. I asked them where they felt it needed more focus, and they responded saying that it felt somewhat vanilla, a re-hashing of any-old IT project management best practice. “Surely there is something different about AI”, they asked? I couldn’t agree more. There is no magic to AI. Today’s AI is a collection of methodologies that apply extreme reductionism to Big Data in order to elicit patterns, calculate probabilities or make predictions. What we called AI

Earthquake researchers have been  trying  to  model   aftershocks  for years. By now, they’re able to fairly accurately predict when aftershocks are going to happen, and how large they’ll be. But they’ve been far from perfect when it comes to  pinpointing their location . The answer—of course—appears to be artificial intelligence. A team of collaborators from Google and Harvard team report that after training a neural network, the same kind of AI that powers Facebook photo tagging and Alexa’s voice transcription, on a database of more than 131,000 earthquakes and the locations of their subsequent aftershocks, they’ve come up with the best way yet to predict where future aftershocks will occur. At its core, artificial intelligence is fancy pattern matching: Show it data, whether pictures of someone’s face or the locations of earthquake aftershocks, and the algorithm will try to find the underlying pattern. For facial recognition that pattern is the pixel arrangements that represen

Google  finally put the  controversy of  UIDAI  helpline number showing up  seemingly randomly in people's phone books at rest on Friday and confirmed that the issue didn't result from any directive by any authority in India but due to a software issue in  Android . The controversy under which UIDAI's now-decommissioned toll-free number was spotted by many mobile phone users in the country can be traced back to 2014, Google said, when the then  UIDAI  helpline number and the 112 distress helpline number were "inadvertently coded" within the Android setup wizard and has remained on devices, the company confirmed to Gadgets 360 via an emailed statement late on Friday. "Our internal review has revealed that in 2014, the then UIDAI helpline number and the 112 distress helpline number were inadvertently coded into the SetUp wizard of the Android release given to OEMs for use in India and has remained there since," a Google spokesperson said in a statemen

In a bid to take on mobile dating apps like Tinder and Bumble, Facebook has begun testing its dating project internally with employees. According to a report in The Verge on Friday, an independent app researcher Jane Manchun Wong found evidence of the dating feature testing and posted it on Twitter. "This product is for US Facebook employees who have opted-in to dogfooding Facebook's new dating product. The purpose for this dogfooding is to test the end-to-end product experience for bugs and confusing UI (user interface). This is not meant for dating your co-workers," read a screenshot. Facebook has asked employees to use fake data for their dating profiles and plans to delete all data before the public launch, said the report.  "Dogfooding this product is completely voluntary and has no impact on your employment," the screenshot further read, adding that the product is confidential.   The social media giant later confirmed the dating product is

This week has seen a flurry of developments about Google planning to return to the Chinese market with an  AI-powered news app , followed by a  self-censoring Search service . The company’s ambitions also reportedly extend to bringing G Suite to China via partnerships with local cloud companies. According to  Bloomberg , Google has been in discussion with Tencent and two other Chinese cloud hosting providers since early 2018. Those rented servers and compute power would be used by Google to offer Gmail, Drive, Calendar, and more to local users in the country. Chinese laws dictate that all customer cloud data be geographically located in the country. Rather than build out its own data centers, Google would reportedly adopt a partnership model to run the apps and host Chinese user data. A local partnership with the likes of Tencent or Inspur would help Google return to the country, and provides high-profile allies for the company to win government approval. Earlier this year, Go

England might take special delight from Australia's spiralling misery, but there is still a lingering doubt how this England side might fare against the current world toppers - India. "You think India will win? It's going to be a tough series," he added. And it might well be, looking at both sides, at least on paper. But such promises for exhilarating cricket between these two sides have fallen on deaf ears. In the last two series the two teams played against each other, the results were 3-1 and 4-0 in favour of the hosts. That might just be the difference between the two sides - the conditions. But here's the twist. England is in the middle of a heatwave, something that was summed up by Ajinkya Rahane, who said their practice game at Chelmsford was almost like playing in Mumbai or Chennai. That would mean conditions in England could be somewhat similar to what you'd get in India. In Birmingham though, there was a brief spell of rain a couple of days befor