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Robots are supposed to steal our jobs – so why haven't they during the coronavirus crisis?

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Robots are supposed to steal our jobs – so why haven't they during the coronavirus crisis? Robots are already making some progress in healthcare settings, but they need more support if they're to make a real difference


Alma Marketeer

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Google will invest $10 billion in India over the next five to seven ...years. Google will use this investment to buy stakes in large Indian companies as well as niche digital service providers. . . Robotic Process Automation (RPA) company, UiPath, announced the closure of its Series E investment round, raising $225 million at a post-money valuation of $10.2 billion led by Alkeon Capital Management. . . ITC Hotels has partnered with online food delivery platform Zomato to offer contactless deliveries on all pre-paid orders from the hotel chain's takeaway menu which will be available on the food delivery platform. . . The recently launched butterscotch flavoured Haldi Milk by Mother Dairy has already received huge positive response.


7 Ways to Make Your Data Scientists Happy

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Ever ask your data scientists how they are feeling? More than a quarter (27%) of data experts report feeling unfulfilled or very unfulfilled in their roles, according to a survey released last month by Sigma Computing. Low-value ad hoc reporting requests drain most data experts because they take up half of their time, researchers found. Those reports grow and "spiral into never-ending projects," with more than half (53%) saying they get up to four follow-up questions for each fulfilled data request. Heck, some of their work never even gets finished.


Machine Learning: What Does The Future Look Like?

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Machine learning (ML) is the process which enables a computer to perform something that it has not been explicitly told to do. Hence, ML assumes the central role in making sentient machines a reality. With the launch of Sophia, an AI robot developed by Hanson robotics, we wonder how close we are to be outclassed by these smart fellows.


Neural Networks Part 2: Building Neural Networks & Understanding Gradient Descent.

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From the previous article, we learnt how a single neuron or perceptron works by taking the dot product of input vectors and weights,adding bias and then applying non-linear activation function to produce output.Now let's take that information and see how these neurons build up to a neural network. Now z W0 xj*wj denotes the dot product of input vectors and weights and our final output y is just activation function applied on z. Now,if we want a multi output neural network(from the diagram above),we can simply add one of these perceptrons & we have two outputs with a different set of weights and inputs.Since all the inputs are densely connected to all the outputs,these layers are also called as Dense layers.To implement this layer, we can use many libraries such keras,tensorflow,pytorch,etc. Here it shows the tensorflow implementation of this 2 perceptron network where units 2 indicate we have two outputs in this layer.We can customize this layer by adding activation function,bias constraint etc. Now,let's take a step further and let's understand how a single layer neural network works where we have a single hidden layer which feeds into the output layer. We call this a hidden layer because unlike our input and output layer which we can see or observe them.Our hidden layers are not directly observable,we can probe inside the network and see them using tools such as Netron but we can't enforce it as these are learned .


Spot-Like Robot Dog Does 'Yoga'

#artificialintelligence

Based in Hangzhou, outside Shanghai, Unitree Robotics was founded in 2017 by Xing Wang with the mission of making legged robots as popular and affordable as smartphones and drones are today. In a showcase of the heavily Boston Dynamics-inspired company's recent progress, it has released a video showing its four-legged robot A1 balancing in a yoga-like pose. "Marc Raibert … is my idol," Wang once told IEEE Spectrum about the president and founder of Boston Dynamics. While the famous robotics company serves as inspiration for Unitree Robotics, the Chinese company wants to make "make quadruped robots simpler and smaller, so that they can help ordinary people with things like carrying objects or as companions," Wang told IEE Spectrum. In order to instill this accessibility into their A1 robot, Unitree Robotics, made it weigh only 12 kg -- just under half the weight of Boston Dynamics' Spot robot, which weighs 25 kg.


Data-Powered Opinion Mining Is The Next Big Thing For Customer Satisfaction

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Arvind Gopalakrishnan is a part of the AIM Writers Programme.… Data mining is taking turns in the industry like anything, but have you ever heard of Opinion Mining? Leveraging customer opinion as quantifiable data is a concept of future to a layman but with Natural Language Processing, the world can finally process and completely absorb customer feedback. Often data is associated with quantity-based statistics with numbers and metrics floating around, however, with natural language processing (NLP), qualitative factors like customer feedback can be processed and used as quantifiable data. For example, if a specific mobile phone models witness a higher number of sales in a given year, the manufacturers tend to incorporate features of that mobile phone to increase the sales of other models where they somehow miss to make upgrades properly basis the customer feedback.


AI in testing: 13 essential resources for QA pros

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What if you could make software testing simple? What if it could be done without all the conversations, questions, defect reports, and metrics? We've been promised artificial intelligence (AI) as the solution to all problems related to testing, especially by those who have never tested--those who believe that what we do as testers is little more than tapping screens to make comparisons. Although I've stated that AI is coming and will change software testing forever (eventually), we're not there yet--not even close. But that doesn't mean we can't use AI to support our testing efforts.


Grab deal just the start of MUFG's focus on technology investment, CEO says

The Japan Times

A math expert who studied number theory at the University of Tokyo's graduate school, he made an impression earlier in his career by heading the bank's launch of bond options trading. Digitalization is key to streamlining operations, especially in domestic retail banking, he said. While MUFG and others saw a surge in branch traffic despite a stay-at-home plea by the government in April, Kamezawa said the bank is now seeing a jump in the use of online banking services. His two predecessors, Kanetsugu Mike and Nobuyuki Hirano, were known for their overseas backgrounds. Under them, MUFG spent about $15 billion to acquire PT Bank Danamon Indonesia and Thailand's Bank of Ayudhya, and to obtain stakes in Vietnam's Vietinbank and Security Bank Corp. of the Philippines. Asked whether the acquisition of commercial banks in the region was over, Kamezawa said: "I think so." "We have succeeded in making up for declining domestic profit through our push overseas," he said, adding that the priority now was to control steadily rising costs. MUFG's costs as a percentage of revenue remain high, standing at 70.2 percent for the year ended March, compared with 62.8 percent for rival Sumitomo Mitsui Financial Group Inc. "We will recalibrate our global strategy, review growth areas and allocate resources accordingly," Kamezawa said. Since the early stages of the COVID-19 crisis, The Japan Times has been providing free access to crucial news on the impact of the novel coronavirus as well as practical information about how to cope with the pandemic. Please consider subscribing today so we can continue offering you up-to-date, in-depth news about Japan.


Eden deploys drone technology to help plant one tree at a time

ZDNet

Helping people to help the environment is the core mission at Eden Reforestation Projects, a non-profit that began its work in Ethiopia in 2004, according to the organisation's director of forest monitoring and evaluation Ezra Neale. "A lot of trees are being cut down without any alternatives and local communities are turning towards the land … [and] it creates this endless poverty cycle for the environment and communities; it's all interlinked," he said. "But there's this amazing ability to transform it through planting trees by directly employing and training people to plant trees, totally transforming their lives through a steady income … reinvesting in their community." These days the Los Angeles-based organisation has expanded operations to eight different countries -- Madagascar, Mozambique, Nepal, Haiti, Indonesia, Kenya, and Central America -- and has planted more than 330 million trees. This year alone, the company aims to plant over 120 million trees.