What to expect from 2030

Technology Future

Predicting the future has always been a tricky business, but Stanford University has not been afraid to put out a report on its behalf about the coming future on a global scale. It happened after the activation of a 100-year experiment, starting in 2014, when artificial intelligence (AI)-related technologies began to be involved in a special project. The robotic technology provides options both for countries and for the world as a whole.

In transport

The automotive industry will reach the heights of robotisation, with the introduction of:

  • special sensors and transducers;
  • computerised structures for analysing city-wide traffic, with synchronisation across cars;
  • unmanned vehicles.

This prediction is confirmed not only by Tesla car owners, but also by the Dutch. There, they plan to install sensors on the roads to give drivers up-to-date information about their condition as they drive.

What to Expect from 2030

Medical industry

Despite all sorts of barriers to implementing the latest technology in healthcare, including bureaucracy and backwardness in district hospitals (for example, in Russia), step by step medicine is moving towards modernisation:

  • Medical databases are beginning to populate;
  • surgeons are participating in televised surgeries;
  • robotic technology is performing surgical interventions in some cases.

It is envisaged that AI will be incorporated into the direct treatment of patients. Based on massively collected data on anamneses, pathogenesis and consequences of all sorts of medical manipulations, the robot will make balanced recommendations, facilitating the work of therapists and other specialists. In Russia, telemedicine is already flourishing, and that says a lot.

The field of education

Stanford experts say the teaching vacancy will remain in high demand, and it will come to her aid:

  • all kinds of multimedia educational implementations;
  • distance learning;
  • intelligent simulation systems.

The proof of this can be found in various virtual learning programmes. For example, the Carnegie Cognitive Tutor, a mathematical simulator that actively fulfils its purpose, the Sherlock simulator for the military (in operation since 1989), and all kinds of online translators based on machine intelligence.