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Environmental Gerontology & Vulnerability Science For Health And Well-Being — Dr. Amir Baniassadi, Ph.D. — Marcus Institute for Aging Research, Hebrew SeniorLife / Harvard Medical School.

Dr. Amir Baniassadi, Ph.D. is an Instructor of Medicine at Harvard Medical School and an Assistant Scientist in Marcus Institute for Aging Research (https://www.marcusinstituteforaging.o… where he works on environmental impacts on health and well-being of older populations.

Dr. Baniassadi works on the impacts of ambient air temperature and air quality (both indoors and outdoors) on outcomes related to the health and well-being of physiologically and socioeconomically vulnerable populations. His research applies novel environmental modeling and measurement techniques along with remote and long-term physiological and functional monitoring of individuals to establish relationships between exposure and outcome variables of interest outside clinical lab settings. The ultimate goal of his research is to develop environmental interventions that optimize the environment for health and longevity of older adults.

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An AI system developed by Google DeepMind, Google’s leading AI research lab, appears to have surpassed the average gold medalist in solving geometry problems in an international mathematics competition.

The system, called AlphaGeometry2, is an improved version of a system, AlphaGeometry, that DeepMind released last January. In a newly published study, the DeepMind researchers behind AlphaGeometry2 claim their AI can solve 84% of all geometry problems over the last 25 years in the International Mathematical Olympiad (IMO), a math contest for high school students.

Why does DeepMind care about a high-school-level math competition? Well, the lab thinks the key to more capable AI might lie in discovering new ways to solve challenging geometry problems — specifically Euclidean geometry problems.

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Seven planets are set to appear in the night sky this month in a rare full planetary alignment.

Mars, Jupiter, Uranus, Venus, Neptune, Mercury and Saturn will appear in a row on the evening of 28 February, marking the last time for 15 years that all of the planets will be visible at the same time.

Planetary parades of four or five planets happen relatively regularly, though alignments of six or seven are remarkably rare.

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NASA’s Europa Clipper is well on its way to Jupiter’s icy moon, Europa, set to arrive in 2030. While its science instruments remain dormant for now, its star trackers are actively working, snapping images of distant stars to help orient the spacecraft. These starfield images, which include the constellation Corvus, are crucial for navigation and ensuring the spacecraft can correctly align its antennas and instruments.

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You’re probably a bit tired by now of all this talk about private space stations coming from all over. Fatigue, most likely, does not come from the fact that several private companies are now working on this, because that’s very exciting, but from the fact that, despite the chatter, nothing significant seems to be happening.

You must take into account, though, that putting together a habitat that can safely house humans in space for long periods of time is not an easy task, and it requires millions invested and years spent on developing the required tech.

That means we’re likely still years away from seeing such a thing come to life. It turns out that we’ll not have to wait for too many years, though, as the first crewed flight to a private space station is now planned for 2026.

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We often discuss if space travel is feasible and if we can settle strange new worlds, but if we can, there is still the question of if we will.

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Lagrange Points are the rare oases, stationary islands in space. As a result, they are invaluable real estate where we can build vast space habitats.

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Ben Goertzel, CEO of ASI Alliance and SingularityNET, “A Path to Beneficial Superintelligence”: shares his wisdom into how Decentralized AI efforts, like those driven by ASI Alliance, are paving the way for a future where superintelligence benefits everyone, not just the few.

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