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Asteroid 2024 GJ2 — Will It Hit Earth?

Discussions about asteroid 2024 GJ2 near miss with Earth on 11 Apr 24, and asteroids Apophis, Bennu, potential impacts and more!

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AlphaGeometry: An Olympiad-level AI system for geometry

From U tubingen and cambridge U

Wu’s Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry https://arxiv.org/abs/2404.

- Wu’s…


Our AI system surpasses the state-of-the-art approach for geometry problems, advancing AI reasoning in mathematics.

Reflecting the Olympic spirit of ancient Greece, the International Mathematical Olympiad is a modern-day arena for the world’s brightest high-school mathematicians. The competition not only showcases young talent, but has emerged as a testing ground for advanced AI systems in math and reasoning.

In a paper published today in Nature, we introduce AlphaGeometry, an AI system that solves complex geometry problems at a level approaching a human Olympiad gold-medalist — a breakthrough in AI performance. In a benchmarking test of 30 Olympiad geometry problems, AlphaGeometry solved 25 within the standard Olympiad time limit. For comparison, the previous state-of-the-art system solved 10 of these geometry problems, and the average human gold medalist solved 25.9 problems.

NASA, Japan Advance Space Cooperation, Sign Agreement for Lunar Rover

NASA Administrator Bill Nelson and Japan’s Minister of Education, Culture, Sports, Science and Technology (MEXT) Masahito Moriyama have signed an agreement to advance sustainable human exploration of the Moon.

Japan will design, develop, and operate a pressurized rover for crewed and uncrewed exploration on the Moon. NASA will provide the launch and delivery of the rover to the Moon as well as two opportunities for Japanese astronauts to travel to the lunar surface.

Today, President Biden and Prime Minister Kishida also announced, “a shared goal for a Japanese national to be the first non-American astronaut to land on the Moon on a future Artemis mission, assuming important benchmarks are achieved.”

Risk Factors For Faster Brain Aging

Recent research published in Nature Communications from the Nuffield Department of Clinical Neurosciences at the University of Oxford has identified 15 modifiable risk factors for dementia, and of those diabetes, alcohol intake, and traffic-related air pollution are the most harmful.

Previous research from this group revealed an area of weakness in the brain of a specific network of higher-order regions that only develop later in adolescence but also display earlier degeneration in old age, and they showed that this brain network is particularly vulnerable to Alzheimer’s disease and schizophrenia. This study investigated genetic and modifiable influences on these regions by utilizing data from the UK Biobank.

This study examined 161 risk factors for dementia by analyzing brain scans of 40,000 people over the age of 45 years old. The modifiable risk factors were ranked by their impact on the vulnerable brain network over and above the natural effects of aging, classifying them into 15 broad categories: blood pressure, diabetes, weight, cholesterol, smoking, inflammation, hearing, sleep, diet, physical activity, education, socialism, pollution, alcohol consumption, and depressive mood.

Frontiers: The Internet comprises a decentralized global system that serves humanity’s collective effort to generate

Process, and store data, most of which is handled by the rapidly expanding cloud. A stable, secure, real-time system may allow for interfacing the cloud with the human brain. One promising strategy for enabling such a system, denoted here as a “human brain/cloud interface” (“B/CI”), would be based on technologies referred to here as “neuralnanorobotics.” Future neuralnanorobotics technologies are anticipated to facilitate accurate diagnoses and eventual cures for the ∼400 conditions that affect the human brain. Neuralnanorobotics may also enable a B/CI with controlled connectivity between neural activity and external data storage and processing, via the direct monitoring of the brain’s ∼86 × 109 neurons and ∼2 × 1014 synapses. Subsequent to navigating the human vasculature, three species of neuralnanorobots (endoneurobots, gliabots, and synaptobots) could traverse the blood–brain barrier (BBB), enter the brain parenchyma, ingress into individual human brain cells, and autoposition themselves at the axon initial segments of neurons (endoneurobots), within glial cells (gliabots), and in intimate proximity to synapses (synaptobots). They would then wirelessly transmit up to ∼6 × 1016 bits per second of synaptically processed and encoded human–brain electrical information via auxiliary nanorobotic fiber optics (30 cm3) with the capacity to handle up to 1018 bits/sec and provide rapid data transfer to a cloud based supercomputer for real-time brain-state monitoring and data extraction. A neuralnanorobotically enabled human B/CI might serve as a personalized conduit, allowing persons to obtain direct, instantaneous access to virtually any facet of cumulative human knowledge. Other anticipated applications include myriad opportunities to improve education, intelligence, entertainment, traveling, and other interactive experiences. A specialized application might be the capacity to engage in fully immersive experiential/sensory experiences, including what is referred to here as “transparent shadowing” (TS). Through TS, individuals might experience episodic segments of the lives of other willing participants (locally or remote) to, hopefully, encourage and inspire improved understanding and tolerance among all members of the human family.

“We’ll have nanobots that… connect our neocortex to a synthetic neocortex in the cloud… Our thinking will be a… biological and non-biological hybrid.”

— Ray Kurzweil, TED 2014

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