The high accuracy of large-scale weather forecasting models like Aurora is often accompanied by a lack of transparency, as their internal representations remain largely opaque. This "black box" nature hinders their adoption in high-stakes operational settings. In this work, we probe the physical consistency of Aurora's encoder by investigating whether its latent representations align with known physical and meteorological concepts. Using a large-scale dataset of embeddings, we train linear classifiers to identify three distinct concepts: the fundamental land-sea boundary, high-impact extreme temperature events, and atmospheric instability. Our findings provide quantitative evidence that Aurora learns physically consistent features, while also highlighting its limitations in capturing the rarest events. This work underscores the critical need for interpretability methods to validate and build trust in the next generation of Al-driven weather models.

A study reveals that extreme heat accelerates biological aging even more than smoking or drinking. It is well known that heat causes exhaustion in the body due to dehydration. A recent study concluded that extreme heat accelerates the aging of the human body, a worrying fact given the increasing frequency of heat waves due to climate change. The researchers are not talking about the effects of solar radiation on the skin, but biological aging. Unlike chronological age--that answer that you give when asked how old you are--your biological age reflects how well your cells, tissues, and organs are functioning.

In this study, we develop a novel framework to assess health risks As it was noted by Intergovernmental Panel on Climate Change due to heat hazards across various localities (zip codes) across the (IPCC) (2014), impacts from extreme climate-related events emerge state of Maryland with the help of two commonly used indicators: from risk that are not only related to a specific hazard (e.g., heat exposure and vulnerability. Our approach quantifies each of the waves), but also directly depends on the two other elements; exposure two aforementioned indicators by developing their corresponding and vulnerability. Exposure addresses the population and assets feature vectors and subsequently computes indicator-specific reference at risk while vulnerability indicates the susceptibility of human and vectors that signify a high risk environment by clustering the natural systems during an extreme event[16].

To keep our bodies at their relatively stable core temperature of around 98.6 F (37 C), we constantly lose heat. It's a process that can be sped up by sweating. But the whole balancing act can get derailed when we're exposed to extreme heat. If your body isn't able to cool itself down fast enough, a whole cascade of problems can start, from stressing out your heart to throwing your kidneys and liver into chaos. Here's some good news: to some extent, our bodies can and do adjust slightly to the heat.

With extreme weather events regularly flooding our coastal cities and burning out our rural communities, Google in its magnanimity has developed a new set of online tools that civil servants and community organizers alike can use in their efforts to stave off climate change-induced catastrophe. Google already pushes extreme weather alerts to users in affected locations, providing helpful, easy-to-understand information about the event through the Search page -- whether its a winter storm warning, flood advisories, tornado warnings, or what have you. The company has now added extreme heat alerts to that list. Googling details on the event will return everything from the predicted start and end dates of the heatwave to medical issues to be aware of during it and how to mitigate their impacts. The company is partnering with the Global Heat Health Information Network (GHHIN) to ensure that the information provided is both accurate and applicable.

Extreme heat that exhausted California's overworked electric grid on Labor Day had knocked out one of Twitter's main data centers in Sacramento, according to a report. While Twitter avoided a shutdown on Sept. 5 by leaning on its other data centers in Portland, Ore., and Atlanta during the outage to keep its systems running, a company executive warned that if another center were lost, some users would have been unable to access the social media platform, according to an internal memo obtained by CNN. Temperatures in Sacramento on Labor Day broke a daily record of 114 degrees, punching thermometers up to 116 by the afternoon. To power their online services to users, tech companies such as Twitter, Google, or Meta lean on data centers that can demand heavy loads of power and often generate large amounts of heat, requiring cooling systems to keep things running. As climate change continues to heat the planet, Twitter's outage underscores how such extreme weather impacts the online systems that billions of people rely on daily.

The innovation and rate of growth in artificial intelligence (AI) and high-performance computing (HPC) applications are staggering. Autonomous cars, fraud detection, business intelligence, affinity marketing, personalized medicine, Alexa, Siri, smart cities and the Internet of Things (IoT) are just a few of the commercial and consumer-driven applications exploding in use on a global scale. Underlying these offerings are dense computing platforms and IT infrastructures that require highly specialized data center environments in order to perform reliably and scale efficiently. Legacy on-premise or colocation data centers, built years ago to support general-purpose computing servers, are becoming obsolete in certain markets due to the intense power and cooling requirements of the HPC and AI servers. These servers are built upon processing-intensive components such as graphics processing unit (GPU) cards and dual central processing unit (CPU) architectures.

New York(CNN Business) A secretive startup backed by Bill Gates has achieved a solar breakthrough aimed at saving the planet. Heliogen, a clean energy company that emerged from stealth mode on Tuesday, said it has discovered a way to use artificial intelligence and a field of mirrors to reflect so much sunlight that it generates extreme heat above 1,000 degrees Celsius. Essentially, Heliogen created a solar oven -- one capable of reaching temperatures that are roughly a quarter of what you'd find on the surface of the sun. The breakthrough means that, for the first time, concentrated solar energy can be used to create the extreme heat required to make cement, steel, glass and other industrial processes. In other words, carbon-free sunlight can replace fossil fuels in a heavy carbon-emitting corner of the economy that has been untouched by the clean energy revolution.