действие с прямым или косвенным указанием времени. Yesterday, last week, an hour ago, the other day, on Monday, in 1995, during the war, in Warsaw. He came yesterday. The lesson started 10 minutes ago.
2. Последовательность действий. He left the hotel, took a taxi and drove to the theatre.
3. Обычное повторяющееся действие. Last year I often went to the cinema.
состояние. I lived in Poland for 5 years.
5. Будущее гипотетическое действие в условных предложениях. If you went there tomorrow, you would see him.
6. Настоящее гипотетическое действие или состояние в условных предложениях. If you went there every day, you would see him.
пожелания, сожаления, начинающиеся с I would rather/sooner/prefer that, if only, I wish. I wish you didn’t smoke here. If only you spoke Italian. I would rather that it were summer now.
The article is devoted to the innovative technology for data visualisation.
The article deals with the use of VR to deliver data visualisation in a virtual environment.
The article touches upon the issues of current setbacks to find an application that can combine Artificial Intelligence, Big Data and Virtual/Augmented Reality.
The article is about the platform which uses smart mapping, smart routines, machine learning and natural language processing to identify important patterns and display them in the virtual environment, which can then be customised by users. The platform can be applied to any industry that relies on data analytics, and lets users examine up to 10 dimensions of data.
The purpose of the article is to introduce the audience to the Merging Virtual Reality and Big Data systems.
Much attention is given to the adaptive and disruptive features of existing VR applications.
It is reported that the human brain can only process so much data before it becomes meaningless. However, through analysing the reactions of users within the experience, graphics can be altered in real time to maximise understanding.
It is spoken in detail about the fact the machine learning alone is faster and more efficient than traditional techniques. Pairing VR with data visualisation is also an enabler for new business models, which combine the expertise of co-workers in different geographic locations. However, in light of upcoming legislation on data sharing and analysis, businesses will need to be careful with the machine learning platforms they use.
The article gives a detailed analysis of practical applications of such powerful data processing systems for businesses and the likely negative outcomes.
The following conclusions are drawn: understanding and sharing comprehensive data is great, but analysing the wrong data (including private or sensitive) could be damaging to a business or even the whole industry.
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