Artificial intelligence has the capability to refine people’s lives in significant ways. Google thinks that AI will assist in tackling enormous challenges concerning to healthcare, environmental protection and other social as well as developmental issues while urging innovation for businesses and developers.
The opportunity is tremendous and not restricted by location as a company in Bangalore or Gurgaon could cater across the world. In fact, a latest Accenture’s report states that India, by grasping AI technologies could add around $1 trillion to its GDP by 2035.
As of now, India has a number of the key components to turn into a major force in driving the next generation of innovation in machine learning (ML) such as a well-informed talent pool, prominent universities, healthy levels of entrepreneurship and well-built corporations.
However, this is essential for the entire ecosystem, be it government, industry experts, academia or the developer community to meet up and recognize areas and opportunities; take part and contribute to high-quality research and innovation, and transform these systems into successful business models.
Google desires to work actively with the community to encourage and support the ecosystem. Focusing on this direction, the company organized a workshop at their campus in Bangalore, to unite a wide range of the AI and ML community in India.
Jeff Dean, Senior Fellow, Google, and Prabhakar Raghavan, VP, Apps Google Cloud inaugurated the workshop by sharing Google’s vision for AI.
Faculty and researchers from the IITs and other prominent universities, and industry experts from both start-ups and bigger companies including Amazon, Flipkart, LinkedIn, Myntra, Microsoft and Ola took part and talked on the research being carried out in India in numerous areas of AI/ML such as Deep Learning, Computer Vision, Natural Language Processing, ML Systems, and Generative Models.
Further, the workshop provides tools to resolve intricate problems with machine learning, including the open-source machine learning framework TensorFlow, custom-built machine learning chips TPUs, and Cloud AI – a suite of products which assists businesses to build their own machine learning powered services from pre-trained APIs to Cloud AutoML and the Cloud Machine Learning Engine.
In recent times, Google has prepared a set of educational resources related to machine learning and AI, which comprises a free online machine learning crash course to learn and practice machine learning concepts.
Once a year, Google has a practice to offers huge grants to more than 250 academic research projects across the world, assistance to PhD students, and facilities to thousands of interns. At the event in Bangalore, the company declared an added award to support five faculty members in India on their AI research proposal. This is in addition to the grants, they have already made since 2012 to faculty and PhD students in India to support academic research and they are given as unlimited grants with no return obligation (IP etc) to Google.
Similarly, for entrepreneurs, Google is working on an accelerator program in India focusing on AI/ML technologies. The global accelerator program has by now supported over 30 Indian start-ups of which six are centred on applied AI/ML innovation.
At the point when each developer, entrepreneur or researcher can utilize the power of intelligent systems, there’s no boundary to what AI/ML can achieve, and that benefits every one of us.