While headlines often scream about crises in the oil and gas sector, the real state of emergency in the U.S. lies elsewhere: in the outdated, unreliable, and vulnerable electrical grid. Ironically, as oil and gas production hits record highs, the energy industry and the country as a whole face a broader challenge--and a significant opportunity--in modernizing the infrastructure that distributes power to millions of homes, businesses, and importantly, Artificial Intelligence. The oil and gas industry in the United States is thriving. Advances in technology and operational efficiency have enabled this growth while requiring fewer workers, with many operations managed remotely or even overseas. The rallying cry of "drill, baby, drill" still symbolizes economic opportunity and investment, but in today's reality, it no longer equates to "jobs, baby, jobs."

There is a lot of fear about robots replacing human. But maybe it should be the machines worrying about us. Swedish scientists have created the world's first'living computer' that is made out of human brain tissue. It composes of 16 organoids, or clumps of brain cells that were grown in a lab, which send information between each other. They work much like a traditional computer chip - sending and receiving signals through their neurons that act like circuits.

Abstract: Trading on electricity markets requires accurate information about the realization of electricity prices and the uncertainty attached to the predictions. We present a probabilistic forecasting approach for day-ahead electricity prices using the fully data-driven deep generative model called normalizing flows. Our modeling approach generates full-day scenarios of day-ahead electricity prices based on conditional features such as residual load forecasts. Furthermore, we propose extended feature sets of prior realizations and a periodic retraining scheme that allows the normalizing flow to adapt to the changing conditions of modern electricity markets. In particular, we investigate the impact of the energy crisis ensuing from the Russian invasion of Ukraine. Our results highlight that the normalizing flow generates high-quality scenarios that reproduce the true price distribution and yield highly accurate forecasts. Additionally, our analysis highlights how our improvements towards adaptations in changing regimes allow the normalizing flow to adapt to changing market conditions and enables continued sampling of high-quality day-ahead price scenarios.

By 2030, Artificial Intelligence could be looking after our elderly, making films and teaching lessons -- or it could have wiped out the human race. These are the wildly different predictions from eight AI experts from the US and UK, who predict how the technology may change our lives within the next decade. It comes amid growing calls for regulators to put the lid on the development of AI, amid fears that it could lead to waves of job losses and render us obsolete. AI technology could become so good that it will start to generate entire films within a day, predicts New York-based writer of Apple TV Sci-fi series Silo Mr Howey. Speaking to DailyMail.com, he said it was only a matter of time before AI tools were capable of making films. 'I've had access to alpha versions of art generators for a few years now, and I've watched how quickly they go from very rough approximations to photo-realism so good that you can't distinguish the AI art from photography,' he said.

When Peter Diamandis took to the stage at Madrid's Palacio de Cibeles for the Audi Summit for Progress last Tuesday, WhatsApp had crashed and the Wi-Fi wasn't working properly. It was a blow to the audience's faith in technology, but Diamandis, the star speaker at the summit, was ready to counter this. The 61-year-old doctor and engineer from New York has blind faith in the power of innovation and science. Diamandis, who is the founder of Singularity University and a friend of tycoon Elon Musk, has set up a number of technology companies and written several books in which he predicts a future of abundance, longevity, flying cars and an exponential increase in resources. It's a vision that is hard to imagine in times of war, an energy crisis and growing fears of recession.