Science Biology Evolution Poop made life on Earth possible. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Coprolites are fossilized feces left behind by ancient animals. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

Researchers discovered a vibrant ecosystem that is'dark, ancient, and almost entirely hidden' from humans. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. A research team led by University of Michigan isolated and grew more than 200 kinds of fungi from the deep subsurface. The collection is now the first public collection of deep subsurface fungi, and is stored at the U-M Herbarium. Breakthroughs, discoveries, and DIY tips sent six days a week.

Environment Conservation Ocean'Dead' coral reef found alive and thriving off West Africa The long-lost mesophotic ecosystem near Benin may be part of an even bigger formation. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The examined region may be part of a much larger system stretching nearly 25 miles parallel to Benin. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

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Zurich has created a technology ecosystem nearing the density of Silicon Valley. Few places outside Silicon Valley can claim R&D hubs from all of these companies. Fewer still are concentrated in a city of just over 400,000 people--roughly half the size of San Francisco. Over the past two decades, however, many of the world's most influential technology companies have established R&D operations in and around Zurich, Switzerland. What began with Google's decision to build its largest R&D hub outside the United States has evolved into one of the world's most concentrated centers for AI research, talent, and commercialization, in certain areas at a higher density than Silicon Valley. The question is why so many technology leaders keep choosing the same place to build and scale.

The current Federated Recommendation System (FedRS) focuses on personalized recommendation services and assumes clients are personalized IoT devices (e.g., mobile phones). In this paper, we deeply dive into new but practical FedRS applications within the joint venture ecosystem. Subsidiaries engage as participants with their users and items. However, in such a situation, merely exchanging item embedding is insufficient, as user bases always exhibit both overlaps and exclusive segments, demonstrating the complexity of user information. Meanwhile, directly uploading user information is a violation of privacy and unacceptable.

AI is making journalistic language more repetitive and predictable - and it's a problem for all of us What happens to language when a growing amount of text published in the press, online and on social media is written by machines? This question is not just important for the profession of journalism - it also has an impact on the richness of the language we all use to comprehend, describe and discuss reality itself. Historically, the press has been a space where public language grows and becomes richer. It is not, of course, the only driver of linguistic change, but it is one of the fields where new or emerging words, turns of phrase and ways of describing facts begin to circulate within society. Studies on journalistic language and neologisms clearly demonstrate that newspapers are platforms for the creation and dissemination of new vocabulary, especially when it is needed to report on events, technology and social changes for a broad audience.

Microsoft has officially abandoned plans for a Surface gaming laptop, with Corporate VP Brett Ostrum confirming the company won't enter this market segment. PCWorld reports that Microsoft believes the gaming laptop market is already healthy with existing partners, preferring to support the Windows ecosystem rather than compete directly. Instead, Microsoft is focusing on Project Helix, which aims to merge console and PC gaming experiences, potentially creating new Xbox hardware innovations. For years, consumers have wondered if Microsoft would ship a gaming laptop. We have an answer, at least from the Surface side of the house: No. Brett Ostrum, the corporate vice president of Surface Devices at Microsoft, told PCWorld that Microsoft doesn't feel obligated to ship a gaming laptop with the Surface brand attached. It was a timely question, as Microsoft is navigating the role of Surface devices in this new era of budget laptops -- dictated by the Apple MacBook Neo and the Dell XPS 13 -- versus the stratospheric prices Microsoft charged for the recent Surface Laptop and Pro for Business .

Microsoft launches Surface Pro 12 and Surface Laptop 8 with Snapdragon X2 processors, starting at $1,499 and $1,599 respectively, marking significant price increases from previous models. PCWorld reports Microsoft's strategy focuses on premium Windows-on-Arm devices rather than competing across all price points like other PC vendors. The new Surface models feature improved graphics performance, enhanced webcams, and long battery life, positioning Microsoft to compete directly with Apple's premium laptops. The Microsoft Surface premium: for years, laptop buyers have criticized Microsoft for charging more and delivering less. Now Microsoft is preparing to ship the Surface Laptop 8 as well as the Surface Pro 12 with Qualcomm Snapdragon X2 processors inside.

There has been increasing research interest in AI/ML for social impact, and correspondingly more publication venues have refined review criteria for practice-driven AI/ML research. However, these review guidelines tend to most concretely recognize projects that simultaneously achieve deployment and novel ML methodological innovation. We argue that this introduces incentives for researchers that undermine the sustainability of a broader research ecosystem of social impact, which benefits from projects that make contributions on single front (applied or methodological) that may better meet project partner needs. Our position is that researchers and reviewers in machine learning for social impact must simultaneously adopt: 1) a more expansive conception of social impacts beyond deployment and 2) more rigorous evaluations of the impact of deployed systems.