Super-resolving the coarse outputs of global climate simulations, termed downscaling, is crucial in making political and social decisions on systems requiring long-term climate change projections. Existing fast super-resolution techniques, however, have yet to preserve the spatially correlated nature of climatological data, which is particularly important when we address systems with spatial expanse, such as the development of transportation infrastructure. Herein, we show an adversarial network-based machine learning enables us to correctly reconstruct the inter-regional spatial correlations in downscaling with high magnification of up to fifty while maintaining pixel-wise statistical consistency. Direct comparison with the measured meteorological data of temperature and precipitation distributions reveals that integrating climatologically important physical information improves the downscaling performance, which prompts us to call this approach $\pi$SRGAN (Physics Informed Super-Resolution Generative Adversarial Network). The proposed method has a potential application to the inter-regionally consistent assessment of the climate change impact. Additionally, we present the outcomes of another variant of the deep generative model-based downscaling approach in which the low-resolution precipitation field is substituted with the pressure field, referred to as $\psi$SRGAN (Precipitation Source Inaccessible SRGAN). Remarkably, this method demonstrates unexpectedly good downscaling performance for the precipitation field.

Tesla CEO Elon Musk is planning to launch an artificial intelligence startup that would go head-to-head with OpenAI, the Financial Times reported Friday. Musk -- the CEO of Tesla, SpaceX and Twitter -- has been building a team of researchers and engineers and has been in conversation with multiple investors, the Financial Times reported, citing sources familiar with the matter. He has also reportedly been recruiting from other top AI firms, including Alphabet-owned DeepMind. "It's real and they are excited about it," a source familiar with the matter told the Financial Times. Musk has secured thousands of Nvidia GPU processors, according to the report.

You've probably heard a lot about both Bing Chat and ChatGPT in recent weeks. Generative AI is here to stay and even if it's not something you can see yourself using in the long term, it's certainly worth trying these tools out and educating yourself a little more on them. Bing Chat is in some ways quite like ChatGPT. Microsoft is a big investor in OpenAI, the company behind ChatGPT, and uses the latest GPT-4 model in the backend of Bing Chat. So, there are definite similarities in the way the two operate.

Billionaire Elon Musk is working on launching an artificial intelligence start-up that will rival ChatGPT-maker OpenAI, the Financial Times reported on Friday, citing people familiar with his plans. Twitter-owner Musk is assembling a team of AI researchers and engineers, according to the FT report, and is also in discussions with some investors in SpaceX and Tesla about putting money into his new venture. Musk's plan for the firm comes weeks after a group of AI researchers and executives, including himself, called for a six-month pause in developing systems more powerful than OpenAI's GPT-4, citing potential risks to society. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites.

In last weeks, many of us have been experimenting with the powerful Azure OpenAI APIs, either in the playground or via REST API or Python SDK. However, those APIs alone are not sufficient to build powerful applications.

A new kind of AI job is emerging--and it pays six-figure salaries and doesn't require a degree in computer engineering, or even advanced coding skills. With the rise in generative artificial intelligence, a host of companies are now looking to hire "prompt engineers" who are tasked with training the emerging crop of AI tools to deliver more accurate and relevant responses to the questions real people are likely to pose. Some of these jobs can even pay up to $335,000 a year. Anna Bernstein, a 29-year-old prompt engineer at generative AI firm Copy.ai in New York, is one of the few people already working in this new field. Her role involves writing text-based prompts that she feeds into the back end of AI tools so they can do things such as generate a blog post or sales email with the proper tone and accurate information.

After many years of deliberating about the potential negative consequences of industrial automation for blue-collar workers, it is now clear that robots will also be coming for professionals. This may not be possible immediately. It seems certain that automation will allow organizations to automate many of the processes and tasks currently performed by humans in the coming years. The latest version of OpenAI's ChatGPT is causing a lot of concern. Its remarkable language generation abilities have sparked a legit AI arms race between tech giants such as Meta, Google, Apple, and Meta.

Because of the overlap between the worlds of consumer tech and artificial intelligence, this same logic is now often applied to systems like OpenAI's language models. This is true not only of the sort of hucksters who post hyperbolic Twitter threads predicting that superintelligent AI will be here in a matter of years because the numbers keep getting bigger but also of more informed and sophisticated commentators. As a lot of claims made about AI superintelligence are essentially unfalsifiable, these individuals rely on similar rhetoric to get their point across. They draw vague graphs with axes labeled "progress" and "time," plot a line going up and to the right, and present this uncritically as evidence.

The expansion of Artificial Intelligence is transforming the world. The game of artificial intelligence is evolving thanks to generative AI and other foundation models, which are also speeding up application development and giving non-technical people access to significant capabilities. Currently, the "creator economy" is estimated to be worth $14 billion annually. Independent authors, podcasters, artists, and musicians may engage with audiences directly and generate their revenue thanks to new internet channels. Individuals can create content on websites like Substack, Flipboard, and Steemit, as well as operate as independent producers and brand managers of their creations.

Generative artificial intelligence company Stability AI Ltd. today released an updated version of its popular open-source photorealistic image generation model. London-based Stability AI is the developer of Stable Diffusion, an AI model that can automatically generate realistic-looking images based on text prompts. It's not the only AI model with that capability, but what differentiates it is that it's available under an open-source license and can run on relatively simple hardware. These two features have helped it quickly amass a large user base. The latest model is called Stable Diffusion XL, and it's the latest addition to the Stable Diffusion suite.