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 In a remarkable leap forward for astronomy, researchers from Osaka Metropolitan University have successfully applied advanced artificial intelligence (AI) techniques to detect elusive bubble-like structures scattered across the Milky Way. These structures, previously overlooked in astronomical catalogs, are shedding new light on the processes that govern star formation and the evolution of galaxies. The study, published in the Publications of the Astronomical Society of Japan , describes how the team developed a sophisticated deep learning model that analyzed massive amounts of data gathered by space telescopes. Leveraging AI-based image recognition, the system identified previously uncharted regions of space, revealing patterns and structures that have significant implications for understanding the life cycle of stars. These so-called “bubbles” are actually massive shell-like formations in space, typically created by the birth and energetic activity of high-mass stars. When the...

  Rephrased News Content (Original, Based on Event Expectations) NVIDIA's GTC 2025 conference is generating significant excitement in the tech community, as it promises to unveil groundbreaking advancements in AI, accelerated computing, and graphics technology. Historically, the GPU Technology Conference (GTC) has served as a global platform for NVIDIA to showcase its latest innovations and outline its vision for the future of computing. This year’s event is expected to be no different, drawing attention from developers, researchers, and business leaders worldwide. AI and Deep Learning: Pushing Boundaries A core focus of GTC 2025 is likely to be artificial intelligence, especially in the realms of deep learning and generative AI. NVIDIA has long been at the forefront of AI development with its powerful GPUs and dedicated AI hardware like the Tensor Core series. This year, we can anticipate announcements related to the next generation of AI accelerators, which could include more ...

 The highly anticipated NVIDIA GTC 2025 is just around the corner, and tech enthusiasts, developers, and industry leaders alike are gearing up for what promises to be a groundbreaking event. With innovations in AI, data centers, robotics, and accelerated computing on the agenda, this year's GPU Technology Conference is shaping up to be one of the most exciting yet. At the heart of the conference is the keynote address by NVIDIA’s charismatic CEO, Jensen Huang. Known for his engaging presentations and major announcements, Huang’s keynotes often set the tone for the tech industry’s next big moves. Whether you’re an AI developer, data scientist, gamer, or simply a tech enthusiast, this year’s keynote is one you won’t want to miss. In this blog post, we’ll walk you through how to watch the NVIDIA GTC 2025 event live and what major announcements and trends you can expect from Jensen Huang’s address. What Is NVIDIA GTC? NVIDIA GTC (GPU Technology Conference) is NVIDIA’s flagship eve...

 GPT-3: Introduced by OpenAI in mid-2020, GPT-3 had 175 billion parameters initially. GPT-4: While specific figures haven’t been officially shared, GPT-4 is larger than GPT-3. Some reports suggest it has 1.76 trillion parameters. Gemini Ultra: Google’s model, which performs similarly to GPT-4, allegedly has 1.6 trillion parameters. MAI-1’s configuration positions it as an intermediate option between GPT-3 and GPT-4. It offers great response accuracy while using less energy than OpenAI’s flagship, resulting in lower inference costs for Microsoft. The development of MAI-1 is being supervised by Mustafa Suleyman, who co-founded DeepMind (Google’s AI research team) and joined Microsoft in March. The model’s training dataset likely includes text generated by GPT-4 and web content. Microsoft is using a “large cluster of servers” equipped with Nvidia graphics cards for the development process. While it may be too complex for consumer devices like mobile phones,  MAI-1 could find its ...