This article is part of CMO.com's March/April series about emerging technology. Don't confuse the replacement of duties with the replacement of jobs: It's an important point when it comes to the impact of artificial intelligence on the workforce. Not only does the emerging technology promise to free employees of their more mundane responsibilities, it also signals new opportunities for them to learn new skills. Accenture's delivery-centre operation in India–where thousands of employees have not only kept their jobs, but have been reskilled as part of an AI-driven transformation–is a true example. "We don't see it replacing jobs–we see it replacing tasks," said Amit Bansal, Accenture's APAC analytics and artificial intelligence delivery lead.

Matrix is promising to build a next level, high transaction, maximum security, AI enabled, natural language smart contract enabled, flexible hybrid blockchain.....oh and they are partnered with the Chinese government on the global infrastructure project called One Belt One Road valued at over a trillion dollars. Please note that this is NOT a sponsored video. Join the decentralized media revolution - watch this video on Dtube https://d.tube/#!/c/larksongbird Looking to buy or liquidate a large amount of crypto? Then Caleb and Brown is here to help.

The US Army is developing a machine learning method for identifying faces from thermal imagery. Soon the American government will be able to film people from outside of buildings, using cameras that can see through walls in near-total darkness, and an AI will recognize the people in the images. Army Research Laboratory (ARL) scientists Benjamin S. Riggan, Nathaniel J. Short, and Shuowen Hu recently released a white paper detailing military efforts to develop a method for applying facial recognition technology to images taken using thermal imaging devices. When using thermal cameras to capture facial imagery, the main challenge is that the captured thermal image must be matched against a watch list or gallery that only contains conventional visible imagery from known persons of interest. Such devices are common, especially in military use.

Porsche Consulting has entered a strategic partnership with UnternehmerTUM, the Center for Innovation and Business Creation at the Technical University in Munich, to create applications for artificial intelligence. In collaboration with established companies, start-ups, and scientists, the management consultancy wants to advance the use of artificial intelligence in actual practice. To this end, the appliedAI initiative has now been launched in Munich. With this appliedAI partnership, the management consultancy is expanding its own range of services offered in the fields of analytics and artificial intelligence. Teams made up of consultants and AI experts will support the projects from conception to the test run.

Let's continue learning about misconceptions around artificial neural networks. In Part 1, we discussed the most simple neural network architecture: the multi-layer perceptron. There are many different neural network architectures (far too many to mention here) and the performance of any neural network is a function of its architecture and weights. Many modern-day advances in the field of machine learning do not come from rethinking the way that perceptrons and optimization algorithms work but rather from being creative regarding how these components fit together. Below, I discuss some very interesting and creative neural network architectures that have developed over time.

Reliance is set to pick up a majority 72.69 percent stake in online education platform Embibe, which uses data analytics to deliver personalised learning outcomes to students. Reliance today agreed to invest the rupee equivalent of $180 million into Embibe, the Bengaluru-based AI education platform, over the next three years. A part of this will be towards acquiring a stake of 72.69 percent from Embibe's existing investors. The transaction is subject to customary closing conditions. This is one of the biggest transactions in the Indian education and deep technology space.

Hazel Savage is the CEO and Co-Founder of Musiio, an Artificial Intelligence company for A&R. Originally from the UK and having spent 5 years working in Australia she now resides in Singapore. With 12 years experience in the music industry, predominantly in tech companies, she boasts, Shazam, Universal, Pandora and BandLab as previous experience.

Sanskrit is not restricted to spiritualism, philosophy, or literature, President Ram Nath Kovind on Saturday said, stressing that experts believe that the language is most appropriate for writing algorithms besides use in machine learning and artificial intelligence. The president made the remarks during his address at the 17th convocation of the Shri Lal Bahadur Shastri Rashtriya Sanskrit Vidyapeetha. "The tradition of Sanskrit language, literature and science has been the most effective chapter in the glorious journey of our intellectual growth. Kovind said the most important thing is that proliferation of the knowledge available in Sanskrit is very relevant for the welfare of the world. "It is not that the works in Sanskrit are limited to spiritualism, philosophy, devotion, ritualism or literature.

According to industry experts advances within artificial intelligence and automation will wipe out more than 50% of the jobs in the financial sector in the next 10 years however it is going to take some big investments to achieve automation at that scale. James D'Arezzo, CEO of Condusiv Technologies said, "Unless banks deal with the performance issues that AI will cause for ultra-large databases, they will not be able to take the money gained by eliminating positions and spend it on the new services and products they will need in order to stay competitive," he said. He also thinks that while hardware upgrades often solve these problems this comes hand in hand with sometimes inordinate expense with the Tokyo Institute of Technology Global Scientific and Computing Center as an example of this. The centre is on the verge of developing a supercomputer to meet the demands of artificial intelligence and big data applications. At the current cost of hardware, it would take around $50 – $100 Million dollars to build the supercomputer.

According to industry experts advances within artificial intelligence and automation will wipe out more than 50% of the jobs in the financial sector in the next 10 years however it is going to take some big investments to achieve automation at that scale. James D'Arezzo, CEO of Condusiv Technologies said, "Unless banks deal with the performance issues that AI will cause for ultra-large databases, they will not be able to take the money gained by eliminating positions and spend it on the new services and products they will need in order to stay competitive," he said. He also thinks that while hardware upgrades often solve these problems this comes hand in hand with sometimes inordinate expense with the Tokyo Institute of Technology Global Scientific and Computing Center as an example of this. The centre is on the verge of developing a supercomputer to meet the demands of artificial intelligence and big data applications. At the current cost of hardware, it would take around $50 – $100 Million dollars to build the supercomputer.