Posted in futurism
Dogs cry tears of joy when reuniting with their owners.
Pet dogs produce a larger volume of tears when they are reunited with their owners than with acquaintances, possibly because of surging oxytocin levels—findings that could be the first evidence of emotional crying in nonhuman animals.
Super Sub will undergo sea trials in the Spring of 2023.
Super Sub, the ultra-luxury, all-electric, three-person submersible, is now officially better than ever before. Its manufacturer, U-BoatWorx, has confirmed that the submersible’s top speed has now been improved to ten knots, up to seven knots faster than existing submersibles.
If the name U-BoatWorx sounds familiar, then let us remind you that this Netherlands-based manufacturer of submersibles has brought radical designs, such as the submersible yacht that can stay underwater for up to four days. These exquisite designs surely come at a price but are meant to deliver experiences that you can get nowhere else.
In a conversation right before the 2021 Conference on Neural Information Processing Systems (NeurIPS), Amazon vice president and distinguished scientist Bernhard Schölkopf — according to Google Scholar, the most highly cited researcher in the field of causal inference — said that the next frontier in artificial-intelligence research was causal-representation learning.
Where existing approaches to causal inference use machine learning to discover causal relationships between variables — say, the latencies of various interrelated services on a website — causal-representation learning learns the variables themselves. “These kinds of causal representations will also go toward reasoning, which we will ultimately need if we want to move away from this pure pattern recognition view of intelligence,” Schölkopf said.
Francesco Locatello, a senior applied scientist with Amazon Web Services, leads Amazon’s research on causal-representation learning, and he’s a coauthor on four papers at this year’s NeurIPS.
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Dark Matter is both the most abundant and most mysterious substance in the Universe, what properties does it have and what technologies might we create to use it in the future?
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Credits:
Dark Matter Technologies.
Science & Futurism with Isaac Arthur.
Episode 277, February 11, 2021
Written, Produced & Narrated by Isaac Arthur.
Editors:
Jerry Guern https://www.youtube.com/channel/UCnySNJ_gDOdRAdUXbIpxYQw.
Cover Art:
Detailed gene-activity map could pave way for more precise treatments for many more people with spinal-cord injuries.
Posted in futurism, robotics/AI
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Revolutionary improvements to automation and production may one day create machines able to produce almost anything, quickly and cheaply, and far faster and more varied than modern 3D Printers. Such devices are sometimes known as Santa Claus Machines, Cornucopia Devices, or Clanking Del-Replicators, and today we will examine how likely such technology is, how far off in the future they might be, and what impact they would have on society.
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Credits:
The Santa Claus Machine.
Episode 165, Season 4 E51
Writers.
HAWC and Glide Breaker are DARPA’s offensive and defensive hypersonic programs, respectively, and their program managers discuss what’s been done and what’s next.
In May 2020, AI research laboratory OpenAI unveiled the largest neural network ever created—GPT-3—in a paper titled, ‘Language Models are Few Shot Learners’. The researchers released a beta API for users to toy with the system, giving birth to the new hype of generative AI.
People were generating eccentric results. The new language model could transform the description of a web page into the corresponding code. It emulates the human narrative, by either writing customised poetry or turning into a philosopher—predicting the true meaning of life. There’s nothing that the model can’t do. But there’s also a lot it can’t undo.
As GPT-3 isn’t that big of a deal for some, the name remains a bit ambiguous. The model could be a fraction of the futuristic bigger models that are yet to come.
