A molecular ratchet, in which a crown ether is pumped from solution onto an encoded molecular strand by a pulse of chemical fuel, opens the way for the reading of information along molecular tapes.
Scientists have found new similarities between Human Brains and current Artificial Intelligence models which clearly show that in general, there’s not a lot of things needed except for more and better hardware, and some more improvements in efficiency for Artificial Intelligence to beat Humans in nearly every imaginable field.
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TIMESTAMPS:
00:00 More Similar than not… 01:37 How AI and us perceive Time 04:19 What is Artificial General Intelligence 05:57 When can we expect AGI? 07:12 Last Words — #ai #agi #humans …
01:37 How AI and us perceive Time.
04:19 What is Artificial General Intelligence.
05:57 When can we expect AGI?
07:12 Last Words.
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#ai #agi #humans
This time I come to talk about a new concept in this Age of Artificial Intelligence and the already insipid world of Social Networks. Initially, quite a few years ago, I named it “Counterpart” (long before the TV series “Counterpart” and “Black Mirror”, or even the movie “Transcendence”).
It was the essence of the ETER9 Project that was taking shape in my head.
Over the years and also with the evolution of technologies — and of the human being himself —, the concept “Counterpart” has been getting better and, with each passing day, it makes more sense!
Imagine a purely digital receptacle with the basics inside, like that Intermediate Software (BIOS(1)) that computers have between the Hardware and the Operating System. That receptacle waits for you. One way or another, it waits patiently for you, as if waiting for a Soul to come alive in the ether of digital existence.
With her eerily realistic facial expressions and movements, Ameca has been billed as the world’s most advanced humanoid robot.
But if that wasn’t impressive enough, soon she could be walking around too.
Continue reading “‘World’s most advanced’ robot will have working legs within a year” »
A new global agreement has been established by eight worldwide universities to commit to the development of human-centered approaches to artificial intelligence (AI). The newest university to join the agreement, which could impact people all across the globe, was the University of Florida (UF).
The Global University Summit was held back on October 27 at Notre Dame University. Joseph Glover, UF provost and senior vice president of academic affairs, signed The Rome Call for AI Ethics on behalf of the University of Florida. He also served as a panelist for the two-day summit, which was attended by 36 universities from around the world.
Ensuring Human-Centered Principles
Mark Rylance & Trudie Styler on AI, Singularity, Othering, Empathy, and Evolution.
Actor Mark Rylance and director/activist Trudie Styler sit down with Kyle Meredith to talk about Spark Hunter, a new audio drama about the world’s most advanced AI having dinner with her maker over a philosophical discussion to determine if she represents a new hope for the world, or its destruction. The two discuss how the Dalai Lama brought them together, what it means to have standing inside the laws of nature, and the points of othering, racism, empathy, and evolution that the spy-drama digs into. Rylance, who also starred in Ready Player One and Don’t Look Up, and Styler also consider if we’ll ever see singularity or if robots should even aspire to be more human, especially considering folks like Elon Musk and his actions.
Midjourney just got an update, Midjourney V4 and it’s BETTER then DALL-E 2?! Today we compare these two AI text to image AI art generators and find out.
▼ Link(s) From Today’s Video:
Continue reading “Midjourney just got a big update, and it’s BETTER than DALL-E 2” »
A video about neural networks, how they work, and why they’re useful.
My twitter: https://twitter.com/max_romana.
Continue reading “Why Neural Networks can learn (almost) anything” »
X-rays can be used like a superfast, atomic-resolution camera, and if researchers shoot a pair of X-ray pulses just moments apart, they get atomic-resolution snapshots of a system at two points in time. Comparing these snapshots shows how a material fluctuates within a tiny fraction of a second, which could help scientists design future generations of super-fast computers, communications, and other technologies.
Resolving the information in these X-ray snapshots, however, is difficult and time intensive, so Joshua Turner, a lead scientist at the Department of Energy’s SLAC National Accelerator Center and Stanford University, and ten other researchers turned to artificial intelligence to automate the process. Their machine learning-aided method, published October 17 in Structural Dynamics, accelerates this X-ray probing technique, and extends it to previously inaccessible materials.
“The most exciting thing to me is that we can now access a different range of measurements, which we couldn’t before,” Turner said.
AI could help doctors identify which skin cancer patients are at high-risk of a melanoma recurrence before their initial cancer is even treated — giving them…
