Lifeboat Foundation

Sun, Sep 11 at 12 PM CDT.

This is an invitation to the Annual General Meeting of the Cryonics Institute & the Immortalist Society.

The Cryonics Institute’s Annual General Meeting (AGM) will be held on Sunday, September 11th 2022 from 3:00pm to 6:30pm at the Infinity Hall & Sidebar 16,650 E. 14 Mile Rd, Fraser, MI 48,026 (USA). For more information visit www.infinityhallsidebar.com

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Monkeys, mice, and sea sponges: these creatures are new to science, but they’ve been living right under our noses. Here are 7 spectacular tales of discovery.

Some frequent travelers noticed they got sick less often during the federal mask mandate for air travel. Despite the end of the mandate, some fliers say they will continue to wear masks.

New strain survives powdery mildew, a costly disease, without side effects.

The end, when it came, came suddenly. An asteroid or comet 10 kilometres across slammed into the Gulf of Mexico, gouging a 180-kilometre crater and unleashing firestorms, eruptions and mega-tsunamis across the globe. The debris blocked out the Sun for years. The dinosaurs – and the other 75 per cent of life that went down with them – didn’t stand a chance.

The story of the demise of the dinosaurs 65 million years ago is well known. But that of their origin is less so. Dinosaurs were the dominant animals on land for at least 135 million years, the longest reign of any group. Had the impact not happened, they might still be in control. Where did these magnificent beasts come from?

Upgraded Dragonfly will study how dark matter shapes diffuse galaxies and faint tendrils of gas.

April, 2022

Sean Carroll (Caltech and Santa Fe Institute)
https://simons.berkeley.edu/events/causality-program-externa…-institute.
Causality.

Continue reading “The Arrow of Time in Causal Networks” »

Discovering a system’s causal relationships and structure is a crucial yet challenging problem in scientific disciplines ranging from medicine and biology to economics. While researchers typically adopt the graphical formalism of causal Bayesian networks (CBNs) to induce a graph structure that best describes these relationships, such unsupervised score-based approaches can quickly lead to prohibitively heavy computation burdens.

A research team from DeepMind, Mila – University of Montreal and Google Brain challenges the conventional causal induction approach in their new paper Learning to Induce Causal Structure, proposing a neural network architecture that learns the graph structure of observational and/or interventional data via supervised training on synthetic graphs. The team’s proposed Causal Structure Induction via Attention (CSIvA) method effectively makes causal induction a black-box problem and generalizes favourably to new synthetic and naturalistic graphs.

The team summarizes their main contributions as:

And an AI could generate a picture of a person from scratch if it wanted or needed to. its only a matter of time before someone puts it all together. 1. AI writes a script. 2. AI generates pictures of a cast (face/&body). 3. AI animates pictures of the cast into scenes. 4. it cant create voices from scratch yet, but 10 second audio sample of a voice is enough for it to make voices say anything; AI voices all the dialog. And, viola, you ve reduced TV and movie production costs by 99.99%. Will take place by 2030.

Google’s PHORUM AI shows how impressive 3D avatars can be created just from a single photo.

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