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Elon Musk has always said that Neuralink, the company he created in 2016 to build brain-computer interfaces, would do amazing things: Eventually, he says, it aims to allow humans to interact seamlessly with advanced artificial intelligence through thought alone. Along the way, it would help to cure people with spinal cord injuries and brain disorders ranging from Parkinson’s to schizophrenia.

Now the company is approaching a key test: a human clinical trial of its brain-computer interface (BCI). In December, Musk told a conference audience that “we hope to have this in our first humans” in 2022. In January, the company posted a job listing for a clinical trial director, an indication that it may be on track to meet Musk’s suggested timeline.

Musk has put the startup under unrelenting pressure to meet unrealistic timelines, these former employees say. “There was this top-down dissatisfaction with the pace of progress even though we were moving at unprecedented speeds,” says one former member of Neuralink’s technical staff, who worked at the company in 2019. “Still Elon was not satisfied.” Multiple staffers say company policy, dictated by Musk, forbade employees from faulting outside suppliers or vendors for a delay; the person who managed that relationship had to take responsibility for missed deadlines, even those outside their control.

The machine-learning model could help scientists speed the development of new medicines.

This technique could help scientists better understand some biological processes that involve protein interactions, like DNA replication and repair; it could also speed up the process of developing new medicines.

“Deep learning is very good at capturing interactions between different proteins that are otherwise difficult for chemists or biologists to write experimentally. Some of these interactions are very complicated, and people haven’t found good ways to express them. This deep-learning model can learn these types of interactions from data,” says Octavian-Eugen Ganea, a postdoc in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and co-lead author of the paper.

Ganea’s co-lead author is Xinyuan Huang, a graduate student at ETH Zurich. MIT co-authors include Regina Barzilay, the School of Engineering Distinguished Professor for AI and Health in CSAIL, and Tommi Jaakkola, the Thomas Siebel Professor of Electrical Engineering in CSAIL and a member of the Institute for Data, Systems, and Society. The research will be presented at the International Conference on Learning Representations.

Machine-learning model could help scientists speed the development of new medicines.

The AI nanny is here! In a new feat for science, robots and AI can now be paired to optimise the creation of human life. In a Matrix-esque reality, robotics and artificial intelligence can now help to develop babies with algorithms and artificial wombs.

Reported by South China Morning Post, Chinese scientists in Suzhou have developed the new technology. However, there are worries surrounding the ethics of actually artificially growing human babies.

This video covers the world in 2080 and its future technologies. Watch this next video about the world in 2070: https://bit.ly/3nYXvjf.
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SOURCES:
https://www.futuretimeline.net.
• The Future of Humanity (Michio Kaku): https://amzn.to/3Gz8ffA
• The Singularity Is Near: When Humans Transcend Biology (Ray Kurzweil): https://amzn.to/3ftOhXI
• Physics of the Future (Michio Kaku): https://amzn.to/33NP7f7

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💡 On this channel, I explain the following concepts:

One structure on the dwarf planet Ceres made big news but there is a hitch. It seems that the square-shaped form inside a larger triangle, located in a crater. Everyone else saw it, but the use of artificial intelligence might be a square peg not fitting a round hole. This remark by a Spanish neuropsychologist is questioning the veracity of depending on AI, which might be unsound by SETI.

Ceres is located in the main asteroid belt, a dwarf planet, and the biggest object too. One of its craters, Occator had bright lights which lead to several ideas of what it was. NASA sent the Dawn probe to go close enough to capture visual evidence of what these lights were and solve the mystery. These lights were from volcanic ice and salt eruptions, nothing more.

It gets more interesting as researchers based in the University of Cadiz (Spain) have examined images of these spots. Areas like them are called Vinalia Faculae, in an area where geometric contours are very evident for observers. It now serves as a template to compare how machines and humans perceive images on planetary surfaces in general. Tests like these will show artificial intelligence can see technosignatures of other lifeforms besides human-civilization.

Elon Musk announced that Tesla is going to be shifting its product development to make Tesla Bot, a humanoid robot also known as Optimus, a priority in 2022.

This is quite a surprising change of strategy.

When Tesla Bot was announced, Musk presented the project as something Tesla could do by leveraging existing work and parts from the development of self-driving technology, and if they don’t do it, someone else will, and they might not do it as well or as safely as Tesla can.

Elon Musk recently said that Tesla’s humanoid robo t project is the “most important product development we’re doing this year.”

On Wednesday, during Tesla’s earnings call, Musk said Tesla’s humanoid robot has the potential to be more significant than the vehicle business over time’ and it is the most important product development they are doing in 2022. Musk introduced the concept of Tesla’s humanoid robot back in August, 2021 during Tesla’s AI event.

Tesla’s humanoid robot aka Tesla Bot is a 5-foot-8-inch and 125-pounds robot aims to do the dangerous, repetitive, physical tasks in the future. Elon Musk joked that Tesla Bot will be friendly and also mentioned that it will be built from lightweight materials.

Parents Use AI To See One Last Message From Their Deceased Son ‘…what’s to keep me from showing face, Man?’

Feel Virtual Reality In Mid-Air! ‘…a pressure on the lips — warm and soft, moist and sweet.’ — Frederick Pohl, 1965.

Via Virtual Reality, Mother Encounters Deceased Daughter ‘But that barrier was going to melt away someday soon. The transhumanists had promised…’ — Stephen Baxter, 2008.

Dr. Marvin Minsky — A.I. Pioneer & Mind Theorist. Professor of Media Arts and Sciences, MIT, Media Lab http://GF2045.com/speakers.

As soon as we understand how the human brain works, we should be able to make functional copies of our minds out of other materials. Given that everything is made of atoms, if you make a machine, in some sense it is made of the same kinds of materials as brains are made but organized either in very different ways or fundamentally the same ways.

Interestingly, if you are going to copy the organization of a particular human mind maybe you should make a dozen of them. There is no particular limit on how many copies to make and how the future society will treat them.

When will all these great things happen of overcoming death and making people more intelligent and turning ourselves into machines with replaceable parts so that suffering will disappear? Many great science fiction writers have written well about the future of human minds and what will happen if we eliminate death and people can live forever and we keep growing and so forth.