techcrunchx
Using AI and machine learning to forecast lightning - TechCrunchX
As one of the most irregular phenomena in nature, lightning is very disturbing. Scientists have lately made an AI system that forecasts lightning up to 30 minutes before it strikes. Lightning regularly kills animals and people, initiates fires, destroys power lines and keeps aircraft stranded. Till now, it has been almost out of the question to predict lightning, with no simple technology for predicting where and when it will strike the earth. Engineers at the Ecole Polytechnique Federale de Lausanne's (EPFL) School of Engineering built a simple and cheap system to forecast when lightning will strike.
Children Getting Affected By AI - What AI Means For Kids - TechCrunchX
With excess electronic devices in reach of children, they are subjected to an overload of AI, and they are completely unaware of this phenomenon. The need of the hour is that a new curriculum should be designed to sync them with AI and generate awareness about how it works. This shall further enable them to play their role in the usage and development of future technology. A 10 year old student defines artificial intelligence as: "It's kind of like a baby or a human brain because it has to learn, and it stores […] and uses that information to figure out things." Many people in the adult age group would find difficulty in phrasing a fitting definition of such a complicated tech niche.
Quantum Interference To Enable Swift Processing of Huge Datasets - TechCrunchX
Scientists from the Physics department, University of Warsaw, Poland, in association with the University of Oxford and NIST, have demonstrated that quantum interference facilitates the processing of huge sets of data faster and more accurately than with standard methods. The results of their work have been published in Science Advances. This research may enhance applications of quantum technologies in artificial intelligence, robotics, and medical diagnostics, for example. The Fast Fourier Transform algorithm(FFT) has made possible since the 1970s to efficiently compress and transmit data, broadcast digital TV, store pictures, and talk over a mobile phone. Minus this algorithm, medical imaging systems based on magnetic resonance or ultrasound would not have been designed. But then, it is still too slow for many demanding applications.