The government and private companies alike are taking the first steps to deploy big data analytics, artificial intelligence (AI), and the Internet of Things (IoT) to gain insights into and offer solutions to problems in India's agriculture sector. To experiment with such technology, the NITI Aayog, the government's main think-tank, will start a pilot project on "precision agriculture" using AI in 10 districts to be selected from seven states: Assam, Bihar, Jharkhand, Madhya Pradesh, Maharashtra, Rajasthan, and Uttar Pradesh. This month, the NITI Aayog signed an agreement with software firm IBM to develop a model for crop-yield predictions using AI so that farmers can be provided real-time advisories in these states. While the project is aimed at improving yields through last-mile solutions, the private sector is also wagering money on so-called smart-agriculture systems. Companies such as CropIn and Robert Bosch Engineering and Business Solutions, say they are equipped to provide a range of technologies based on AI in areas such as pest surveillance, climate control, controlled irrigation, and warehouse management.
Mumbai: Early this month at the Intel AI Devcon 2018 in Bengaluru, a holographic avatar called Ella listened intently to composer Kevin Doucette playing notes on his synthesizer. When he paused, she began composing her own notes, complementing his music in real-time. Ella was learning about features such as tempo, scale and pitch from the music data that was being sent in real-time to an Intel Movidius Neural Compute Stick. Intel used a class of artificial neural networks, the recurrent neural network or RNN that depends on previous calculations to work on current ones, to perform this artificial intelligence (AI) task. This Neural Compute Stick is simply a case in point that Intel--a company which most people identify with central processing units (CPUs) inside personal computers (PCs), mobiles and servers--is widening its portfolio to stay in the AI race that has strong contenders including Nvidia, Microsoft, Google, Facebook, IBM, Amazon, Apple, Alibaba and Baidu.
Bengaluru-based artificial intelligence startup Niki.ai has raised Rs 3 crore in a new round of funding led by Haresh Chawla, a partner at India Value Fund Advisors (IVFA). Existing investor Ronnie Screwvala's Unilazer Ventures also participated in this round, the startup disclosed in its ROC filings. Both Chawla and Screwvala had not responded to mails sent by Techcircle at the time of filing this report. This is the third time when Unilazer has invested in Niki.ai, which is owned and operated by Techbins Solutions Pvt. Ltd. In May, Mumbai-based Unilazer, along with Rata Tata, interim chairman of Tata Sons, made an undisclosed investment in the firm.
Mumbai: As pro vice-chancellor (product and partner development) of the University of Sunderland in the UK, Prof. John MacIntyre's brief includes covering research, innovation, knowledge exchange, employer engagement and regional economy. Since 1996, MacIntyre has also been the editor-in-chief of Neural Computing and Applications--an international scientific peer- reviewed journal published by Springer Verlag. In an interview, he talks about why artificial intelligence (AI) needs to be looked at more positively and how AI can contribute to society. MacIntyre will also address EmTech India 2017--an emerging tech conference organized by Mint and MIT Technology Review--on 9 March in New Delhi. You completed your PhD in applied AI, focussing on the use of neural networks in predictive maintenance.
December 21, 2017: Business Wire India NVIDIA brought together the best minds in research, academia and industry across Hyderabad, Chennai, Mumbai, Pune, Delhi and Bangalore 42 speaker sessions from leading experts in fields such as computer vision, sensor fusion, software development, regulation and HD mapping provide expertise NVIDIA today completed its first edition of Developer Connect 2017 in Bangalore. The six-city developer roadshow witnessed over 5,000 attendees who experienced some of the highest quality workshops and demonstrations of AI and deep learning tools, designed to meet the challenges big data presents. Attendees got a closer look at NVIDIA's DGX systems, as well as the opportunity to learn more about its new Volta architecture. Both the DGX-1 and DGX Station were on display to demonstrate the full power of these AI supercomputers. The concluding segment witnessed prominent speakers from organizations such as Ola, Cognitive Computing, Microsoft, Hewlett Packard Enterprise Labs, Shell India, Sony India and Aditya Imaging Information Technologies provide their views.