- Analyses of space distortions using AI are 10 million times faster than traditional methods, say researchers at the SLAC National Accelerator Laboratory and Stanford University according to Technology Review.
- The researchers published a study in Nature about the neural networks they built which used AI to shorten the time it takes to reduce image distortions from weeks to seconds.
- The AI image recognition technology is much like that used to identify faces on social media platforms or to recognize objects in photos on search engines. The success of the study has left astrophysicists optimistic about future applications in their field.
This is yet another example of how AI can help automate and reinvent labor-intensive processes and make them faster and more fruitful, as well as why Gartner predicts AI will be the most disruptive megatrend over the next 5 to 10 years.
For companies performing numerous labor-intensive, repetitive processes, AI could be a game-changer. Research from PwC recently predicated global GDP will be 14% higher in 2030 because of AI. By those projections, AI will inject $15.7 trillion into the global economy.
Retail, financial services and healthcare are expected to be the largest users of AI in the near future, but according to PwC, it's likely most industries will eventually use AI to some extent.