According to the International Federation of Robotics, the number of industrial robots being supplied by 2020 will be around 521,000, marking an increase on 2016 of 71 percent. Of those supplied in 2016, the five countries that made the most robots accounted for 74 percent of the 294,000 total. Well ahead at least in terms of numbers was China, with 87 thousand units supplied.

Bengaluru: Indian enterprises have been quick to adopt artificial intelligence (AI) with nearly one in five organisations implementing it in some way, said an Intel India commissioned report undertaken by research firm IDC. By mid-2019, about seven in 10 firms are anticipated to deploy AI. IDC surveyed 194 Indian companies across four verticals -- telecom, media & technology (TMT); retail; banking, financial services, & insurance (BFSI) and healthcare. The report said nearly 75% of the firms surveyed anticipate benefits in business process efficiency and employee productivity with the use of AI, and 64% of the respondents believe that this technology can empower them in revenue augmentation through better targeting of offers and improved sales processes. Despite a higher propensity to adopt AI, firms believe they will face a shortage of skills to unlock the opportunities through AI. "We all talk about the opportunity that India presents for AI, but often the types of industries that will embrace AI, the challenges that AI can address, and the roadblocks in implementation, are vague. This research is a small step towards comprehending this knowledge, and enabling companies such as ours, shape strategy and move ahead in the right direction," said Prakash Mallya, managing director for sales and marketing at Intel India.

Recent news on Sophia the robot getting citizenship in the Saudi Arabia has widely attracted daily news and social media. Despite the debates and agitations on a robot getting recognition as humans, experts view this event as a phenomenal milestone in the research of AI. The current level of Artificial Intelligence is achieved through years of research in Machine Learning, Deep Learning and other related fields. With a lot of hype and investments around, Deep Learning technology – a subdivision of Machine Learning is now successfully applied in our daily life from speech recognition apps in smartphones to YouTube recommendations. One of the pioneers of the Deep Learning, Andrew Ng feels that AI is the new form of electricity where every AI application in future electronic devices will be fuelled by Deep Learning models.

Ram Kumar Singh is a Research Scholar and Students of Computer Science at the SITE, SVSU Meerut, India. He obtained M.Tech (Computer & Information Technology) from SVSU Meerut and B.Tech (Computer Science and Engineering) from UPTU Lucknow. He has contributed research paper in several national/international conference/journals.

I didn't believe it when I first saw it, but it soon made sense. Saudi Arabia has just granted citizenship to its first robot – the first time any country has recognised a robot in such a way. Her name is Sophia and this social robot is using her platform as the highest-profile robot in the world to advocate for women in her home nation. Why did this suddenly all make sense to me? Because artificial intelligence (AI) innovations are racing ahead at a pace few could ever have predicted – and the development of intelligent machines like Sophia is a natural evolution of this.

Most predictions about the job landscape in the next few years involve automation, artificial intelligence (AI) and increasingly-redundant humans. Yes, layoffs are inevitable going forward, but what much of the chatter ignores is that the future will also see employment creation, including jobs that are as yet unheard of. Take the recent'Future of Jobs in India' study, commissioned jointly by FICCI and Nasscom with EY. The report looks at the impact of advanced technologies on 5 key manufacturing and services sectors in India-IT/ITeS, retail, financial services, textile & apparel and auto-that create the bulk of jobs. A key finding was that 9% of India's 600 million estimated workforce would be deployed in new jobs that do not exist today, while 37% would be in jobs that have radically changed skill sets.

Here's how Artificial Intelligence is going to change the way farming is done in the country. Right from sowing to harvesting and then to post-harvest help, the AI solutions promise informed inputs to farmers and other stakeholders in the ecosystem. The solutions are going to give them heads up on the likelihood of rain, outbreak of diseases or attack of pests and on soil health condition. The information gathered from the field using satellite images and sensors on balloons would be juxtaposed with historical weather and other agronomic data to generate customised data for a specific farmer on a specific crop. Microsoft has tied up with International Crops Research Institute for Semi-Arid Tropics (ICRISAT) to develop a system designed specially to suit the needs of farmers in countries like India, while IT major Tech Mahindra is planning to have a team of 1,000 employees to focus exclusive on its initiative for agriculture.

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Robot investigators could be widely used in future to examine documents in complex cases, the head of the Serious Fraud Office (SFO) has suggested. David Green said he would like to see the possibility of employing artificial intelligence "carefully examined" after using technology to sift through a cache of 30 million documents disclosed by Rolls-Royce during a major investigation. He also said it was now "pretty clear" that his agency would continue as an independent body after the government dropped plans to have it taken into the National Crime Agency. The SFO director set out how the Rolls-Royce documents had been examined by a computer algorithm which had the ability to learn as it went along. The technology was trying to find legally privileged documents which could not be used in the case, but Mr Green suggested that in future similar methods could be used to identify useful evidence in investigations.

Whether they drive themselves or improve the safety of their driver, tomorrow's vehicles will be defined by software. However, it won't be written by developers but by processing data. To prepare for that future, the transportation industry is integrating AI car computers into cars, trucks and shuttles and training them using deep learning in the data center. A benefit of such a software-defined system is that it's capable of handling a wide range of automated driving -- from Level 2 to Level 5. Speaking in Tokyo at the last stop on NVIDIA's seven-city GPU Technology Conference world tour, NVIDIA founder and CEO Jensen Huang demonstrated how the NVIDIA DRIVE platform provides this scalable architecture for autonomous driving. "The future is surely a software defined car," said Huang.