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Reservoir computing (or training recurrent neural networks)

Gives some intuition concerning how initially random recurrent neural networks can be trained to produce complex behaviors mimicking input/output relationships of recurrent neural networks in the brain. The important thing here is that these networks can produce complex temporal dynamics (even in the absence of input) unlike the static feedforward neural networks we discussed before.

Why Technological Civilizations Might Be Insanely Rare

Sponsored by Perplexity! This is truly a game-changer – Perplexity Computer built this insane tool in only one prompt! Check out my tool and build your own today: https://pplx.ai/cool-worlds-youtube-1

Today’s video explores the most terrifying calculation I’ve ever done, one that comes with some deeply unsettling implications for the Universe in which we live…

Written & presented by David Kipping, edited by Jorge Casas.

→ Support our research: https://www.coolworldslab.com/support.
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THANK-YOU to S. Shardool, M. Seay, M. McMillan, M. Popovski, M. Singh, M. Elliott, M. Donkin, M. Zajonc, M. Czirr, M. Williams, M. Daughaday, M. Muriuki, M. Cartmell, M. Ford, M. Devermont, M. Hedlund, M. Patterson, M. Murphy, M. Bassnett, M. Lovely, M. Schiff, M. Bylinsky, C. Fitzgerald, M. Danielson, M. Morrow, M. Corwin, M. Schreiner, M. Metts, M. Stevenson, M. Vystoropskyi, M. Brownlee, M. Shamp, M. Sattler, M. Ross-Lee, M. Bueche, M. Fitzsimmons, M. Borisoff, M. Larter, M. Cunningham, M. Williams, M. Alley, M. Adler, M. Murray, L. Deacon, M. Kruger, M. Bryant, M. Lee, P. Johnston, M. Sanford, N. Offor, M. Saint, R. Borbidge, M. Reese, M. Langley, M. Howard, M. Stewart, M. Morrison, M. Kennedy, M. Aron, M. Rockett, M. Kingston, M. Daniluk, M. Schoen, M. Lee, M. Huch, M. Chaffee, M. Simmons, M. Herman, M. Vaal, M. Canning, M. Kochkov, M. Fullwood, G. Belsak, M. Bergman, M. Armstrong, M. Bottaccini, M. Farabee, B. Gaalen, M. Haan, M. Hoffman, E. Garland, M. Everest, M. Venzor, M. Frederick, M. Peraza, W. Ruf, M. Matters, M. Smith, M. Hansen, M. Edris, M. Souter, M. Smith, M. OBrien, M. Provost & M. Nimmerjahn.

REFERENCES

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Canada’s National Artificial Intelligence Strategy: AI for All

Message from the minister The Government’s vision: AI for All Key pillars of the strategy Priority sectors Pillar 1: Protecting Canadians and safeguarding democracy Pillar 2: Ensuring AI empowers Canadians Pillar 3: Powering AI adoption for shared prosperity Pillar 4: Building the Canadian sovereign AI foundation Pillar 5: Scaling Canadian champions Pillar 6: Building trusted partnerships and global alliances Conclusion

An innovative Canada is a stronger Canada. And AI is the major driver of innovation in Canada and around the world. But to understand the potential of Canadian AI, you have to see how it is already working to improve the lives of people. How a Canadian pediatric cardiologist in Halifax named Dr. Robert Chen is using the AI application he built to diagnose heart murmurs in newborns. His technology could cut down wait times by many months for anxious parents to see a specialist, saving our health care system tens of millions of dollars.

You have to see how a Canadian AI company called Croptimistic is helping farmers precisely map their soil. This technology allows them to use less fertilizer, while increasing crop yield, making our food system more resilient and more affordable.

After Infant Botulism Outbreak, FDA Shares Root Cause Analysis Findings from ByHeart Formula Plants

FDA did not identify deficiencies in ByHeart’s production facilities that could explain the outbreak, but a powdered milk ingredient did test positive for C. botulinum. ByHeart is developing an action plan based on data generated from the investigations.

World-first: therapy to make cells young again trialled in a person

Boston-based biotechnology company Life Biosciences has launched the first-in-human clinical trials of a pioneering “partial cellular reprogramming” technique designed to treat optic nerve damage caused by glaucoma and NAION. Based on previous genetic research, the therapy utilizes a modified virus to deliver three youth-restoring genes to retinal cells, aiming to reverse cellular aging while preserving their specialized functions. Addressing the critical risk of inducing cancer through uncontrolled cell division, the protocol incorporates a vital safety switch: the rejuvenating genes are only activated in the presence of the antibiotic doxycycline. The eye was strategically selected for these initial trials because its relative isolation minimizes the risk of systemic, life-threatening side effects. Involving up to 12 patients, this groundbreaking study serves as a crucial test not only for the potential restoration of vision but for the safety, viability, and future reputation of partial reprogramming as a broader anti-aging and regenerative medicine therapy.

A participant in a landmark clinical trial has been given a cellular-reprogramming treatment that aims to rejuvenate damaged cells in the eye.

Reading the Galaxy’s Past

Every galaxy you’ve ever seen in a photograph is hiding something. Beyond the glowing disc of stars and gas that the camera captures lies a vast, ghostly outer region called a halo, too faint to see easily but packed with clues about how that galaxy came to be. ESA has just formally committed to a mission designed to reveal those hidden haloes in unprecedented detail, and in doing so, finally answer one of the most fundamental questions in astronomy: how did galaxies like our own Milky Way form?

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