With four basic data collected by any weather station , a team of Swiss scientists is able to anticipate where and when lightning will fall . For this they developed an artificial intelligence system that learned to make their predictions by combining those four parameters with the historical two decades of downloads. Although they still have to fine tune the location, the machine can predict most of the twinkles half an hour before they fall. Rays are one of the most complex, most studied and least known phenomena of meteorology. In essence it involves discharges of a large amount of energy from electric fields generated during storms. Although they have long ceased to be a problem in populated areas, they still have a great impact on natural environments or for specific activities such as air navigation , wind installations or the distribution of electricity. Until now, lightning prediction systems relied on observations from the satellite, airborne systems or models supported by s