ARTIFICIAL INTELLIGENCE
transparency for safety-critical or regulatory applications .”
What , then , can we look out for in 2018 ? Rao says : “ Expect to see more results from the exploration of this theory applied to other types of deep neural networks and deep neural network design .”
Wider application of AI in business Markus Noga , Head of Machine Learning at SAP , is confident that businesses will be able to develop disruptive business models as mature machine learning algorithms develop . He explains : “ They will force whole industries to realise that digital transformation is not just trend , but essential to remain competitive . Meanwhile , deep learning is established as the standard machine learning commodity , but will now strive for more efficiency and scalability within the systems ”.
For this reason , we can expect a lot in the coming year . Noga continues : “ We can await further breakthroughs in reinforcement learning and will see academia further adjust to industrial research to ensure their competitiveness .”
32 February 2018
AI is going to affect 25 % of technology spend going forward
“ If 2017 was the year warnings from Elon Musk and Stephen Hawking about the potential evil from AI clashed with predictions from Mark Zuckerberg and Bill Gates on its potential good , 2018 will be the year when the debate shifts to its practical utility ”
– Michael Morvan , co-founder and CEO , Cosmo Tech