Infrared images of the gas giant Jupiter show the massive planet's churning atmosphere like never before - beyond what we can see with the human eye. Hawaii's Gemini North observatory and the NASA Hubble space telescope captured the largest planet in the solar system in a range of light wavelengths. The images show the planet at infrared, visible, and ultraviolet, revealing details of the atmosphere of the gas giant not visible without specialist observatories. These views reveal a range of details in atmospheric features such as the Great Red Spot, superstorms, and gargantuan cyclones stretching across the planet's disk. Viewing planets at different wavelengths of light allows scientists to glean otherwise unavailable insights such as features of storms previously hidden, the team said.

A beautiful image of Jupiter taken by the NASA Hubble telescope has captured the formation of an almighty storm in the planet's northern hemisphere. NASA says the storm is a'bright, white, stretched-out storm moving at 560 kilometres per hour' at mid-northern latitudes. Storms in this region are very common but this one appears different, as it has more structure and could be forming into a permanent feature. 'Researchers speculate this may be the beginning of a longer-lasting northern hemisphere spot, perhaps to rival the legendary Great Red Spot that dominates the southern hemisphere,' NASA says in a statement. Image of Jupiter taken by Hubble has captured the formation of an almighty storm in the planet's northern hemisphere.

By the end of this decade, a milestone is reached in artificial intelligence, with computers now routinely passing the Turing Test.** This test is conducted by a human judge who is made to engage in a natural language conversation with one human and one machine, each of which tries to appear human. Participants are placed in isolated locations. For several decades, information technology had seen exponential growth – leading to vast improvements in computer processing power, memory, bandwidth, voice recognition, image recognition, deep learning and other software algorithms. By the end of the 2020s, it has reached the stage where an independent judge is literally unable to tell which is the real human and which is not.* Answers to certain "obscure" questions posed by the judge may appear childlike from the AI – but they are humanlike nonetheless.*

It's always a mistake to read," Philip Marcus, a computational physicist and a professor in the mechanical engineering department at the University of California, Berkeley, tells me in a coffee shop near campus. "You learn too many things. That's how I got really fascinated by fluid dynamics." It was 1978, and Marcus was in his first year of a post-doctoral position at Cornell focused on numerical simulations of solar convection and laboratory flows using spectral methods. But he had wanted to study cosmic evolution and general relativity; the problem, as Marcus told me, was that there was talk of no one seeing results of general relativity within their lifetime. As a result, "the field kind of collapsed on itself a little bit, and so everybody from general relativity was going to other fields." It was also in 1978 that Voyager 1 began to send up-close images of Jupiter back to Earth. When Marcus needed to, as he put it, "unwind, relax, whatever," he would walk over to a special ...