Sensing this, the Delhi government is planning to invest around ₹1,000 crore in intelligent traffic management system, with an aim to overhaul the existing traffic
Artificial General Intelligence seems to be coming sooner rather than later. Recent research has made critical progress on how future AGIs would think, and how
Image recognition is one of the most important components in artificial intelligence systems today. Facebook has one of the most competent and brilliant AI groups
In 2014, the CERN released Higgs challenge that realised the potential of machine learning applications in high energy and particle physics. CERN was exploring new
In the not too distant future when AI possesses true intelligence, AGI morality will become a critical issue. Given the curve of technological progress and
Traditionally, datasets are a huge part of the machine learning pipeline. With the advent of deep learning techniques, the amount of high quality, well-labelled data
Facial recognition market is going to be a $7.6 billion market by 2022. There is a huge opportunity waiting for whoever builds great proprietary technology
Multimodal machine learning is a multi-disciplinary research field that addresses some of the original goals of artificial intelligence by integrating and modelling multiple communicative modalities,
Our brain is modular by design and is characterised by distinct but interacting subsystems which handle important functions like memory, language and perception. Attention is
Progress in neuroscience has been historically limited by the size of multimodal datasets. There is a popular notion that producing large, multimodal and complex datasets
Today’s machine learning requires a large amount of data, even as the whole deep learning community is trying to speed up the training time. So
Analytics India Magazine attended the Media Roundtable on the subject, “Are You Ready for AI? Is AI Ready for You,” held at the recently-concluded MATLAB
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