Lifeboat Foundation

An exploration of some of physicist Freeman Dyson’s ideas above and beyond the Dyson sphere including Dyson’s Trees and the Astrochicken.

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🌌🔭 The Chandra X-ray Observatory has been unveiling the mysteries of the universe for 25 years! Discover how its X-ray data helps scientists study black holes, supernovae, and the formation of galaxies. Learn about the incredible insights gained and what the future holds for X-ray astronomy. #SpaceResearch #BlackHoles #Chandra

NASA’s Chandra X-ray Observatory detects X-ray emissions from astronomical events.

Researchers at the University of California, Los Angeles (UCLA) have achieved a significant milestone in optical imaging technology. A new all-optical complex field imager has been developed, capable of capturing both amplitude and phase information of optical fields without the need for digital processing.

NASA ’s X-59 quiet supersonic aircraft project has reached a critical milestone with the completion of the Flight Readiness Review, paving the way for future flight testing.

NASA has advanced the airworthiness verification of its quiet supersonic X-59 aircraft with the completion of a milestone review that will allow it to progress toward flight.

An independent Flight Readiness Review board comprising experts from throughout NASA has concluded a detailed evaluation of the X-59 project team’s safety strategies for the public and staff during both ground and flight testing. The board meticulously examined the team’s assessment of potential hazards, focusing on safety and risk identification.

Will it actually transform the future of driving?

A simulation-generated image reveals how charge distributions and gas densities vary in the plasma that floats across our universe.

By Alex Wilkins

One of the trade-offs of today’s technological progress is the big energy costs necessary to process digital information. To make AI models using silicon-based processors, we need to train them with huge amounts of data. The more data, the better the model. This is perfectly illustrated by the current success of large language models, such as ChatGPT. The impressive abilities of such models are due to the fact that huge amounts of data were used for their training.

The more data we use to teach digital AI, the better it becomes, but also the more computational power is needed.

This is why to develop AI further; we need to consider alternatives to the current status quo in silicon-based technologies. Indeed, we have recently seen a lot of publications about Sam Altman, the CEO of OpenAI topic.

Armed with up to $39 million in federal funding, a dream team of researchers from three Colorado campuses aims to end osteoarthritis.

From Shanghai Jiao Tong University & Microsoft Parrot Efficient Serving of LLM-based Applications with Semantic Variable.

From shanghai jiao tong university & microsoft.

Parrot.

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