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The findings also point to possible directions for treatment of the disease.

The results are published Sept. 6 in the journal Neuron.

Almost half the human genome is comprised of transposable elements, long and short stretches of DNA called “jumping genes” for their ability to move from one location of the genome to others. Once called “junk” DNA, these transposable sequences have been shown to play crucial regulatory roles in many biological functions. Once they fulfill these myriad roles, molecular regulators usually silence their expression.

It works by copying what happens in the hippocampus—a seahorse-shaped region deep in the brain that plays a crucial role in memory. The brain structure not only helps us form short-term memories but also appears to direct memories to other regions for long-term storage.

For more than 10 years, Theodore Berger and Dong Song at the University of Southern California and their colleagues have been developing a way to mimic this process. Their idea is to use brain electrodes to understand the electrical patterns of activity that occur when memories are encoded, and then use those same electrodes to fire similar patterns of activity.

https://www.timventura.com — Martin Ciupa discusses the existential risks and unintended consequences of AI superintelligence and the Singularity, along with concerns about AI augmentation through Neuralink. We also explore the philosophical underpinnings of The Singularity and how it fulfills a long-standing human need for transcendence in a technologically advanced society.

Martin Ciupa is a subject matter expert on artificial intelligence. Martin is the CEO of Remoscope Inc, an AI-based Telehealth startup, and an advisor & consultant to Mindmaze, a Unicorn Neurotech company focuses on applying advanced neuroscience to everyday life. Martin has decades of experience in computing and artificial intelligence, PhD studies in AI, and a Master’s Degree in Cybernetics. He joins us today to discuss AI Superintelligence and the Singularity.

We previously touched on Ghosts in the Machine in terms of the human qualities we unintentionally build into AI, so today I wanted to focus on “God In The Machine”, especially in regards to AI Superintelligence and the Singularity. Let’s start with a story in Futurism quoting former Google Exec Mo Gawdat as saying that “AI Researchers are creating God”.

The Singularity has scared more than just this researcher: Stephen Hawking has said that “The development of full artificial intelligence could spell the end of the human race”. Bill Gates and Elon Musk have also voiced concerns on AI Superintelligence. Gates said, “I am one of those who is concerned about superintelligence. First, machines will do a lot of work for us and they won’t be super smart. That should be positive if we manage it well. A few decades after that, they will be smart enough to be a concern.” – and Elon Musk has said that development of artificial intelligence “is the greatest existential threat to humanity”.

Along the way, they discuss the early days of David’s HedWeb, the Abolitionist Project, the Three Supers of Transhumanism (Superhappiness, Superintelligence, and Superlongevity), philosophy and history of science, the nature of intelligence, field theories of consciousness, anesthesia, empathogens, anti-tolerance drugs, and much more.

Some of the key essays discussed:

Utopian Pharmacology — “Mental Health in the Third Millennium — MDMA and Beyond” — https://mdma.net/

Future Opioids: The Quest for a Drug-Free Society — https://www.opioids.com/

Ray Kurzweil predicted Technological Singularity nearly 20 years ago. Elon Musk could enable a world of economic abundance with real world AI. Robotaxi and Teslabot will transform the world more than car and the first industrial revolution.

Tesla sells Model Ys for about $60000, but it currently costs them about $30000–40000 to make them. A Teslabot is 1/30th of the mass of a Model Y. It will use 1/30th of the batteries. The software is an overall cost of development. If billions of bots are produced then the cost would trend toward the cost of the hardware plus Apple iPhone-like margins including the software (say 40% gross margin). At Model Y cost of $30k then the hardware cost for Teslabot will go to $1000. $2000 with margins and software. A bot can work for 8,000 hours in a year. 8,760 hours in a year. $2000 divided by 8,000 hours is $0.25. If you add 10 cents per hour for electricity then it is $0.35 per hour. Going beyond that is bots can work in the factory and work cheaper than humans. Currently 15,000 workers in Tesla China factory. Replace all of them with $0.35 per hour bots. Reduce labor cost component. If a lot of bots can increase production rates. by 2X then all costs spread over more units. Bot-produced solar and batteries can lower the cost of energy by vastly increasing the supply. Those trends could get us to $500‑1000 per bot costs and lower energy costs. Having virtually unlimited labor costing less than 35 cents per hour will be transformational.

The Technological Singularity is a predicted point when technological growth becomes radically faster.

Real World AI would be general artificial human-level intelligence. Capabilities to provide broad levels of human jobs and tasks.

Scientists from the Faculty of Pure and Applied Sciences at The University of Tsukuba created scanning tunneling microscopy (STM) “snapshots” with a delay between frames much shorter than previously possible. By using ultrafast laser methods, they improved the time resolution from picoseconds to tens of femtoseconds, which may greatly enhance the ability of condensed matter scientists to study extremely rapid processes.

One picosecond, which is a mere trillionth of a second, is much shorter than the blink of an eye. For most applications, a movie camera that could record frames in a picosecond would be much faster than necessary. However, for scientists trying to understand the ultrafast dynamics of materials using STM, such as the rearrangement of atoms during a phase transition or the brief excitation of electrons, it can be painfully slow.

Now, a team of researchers at the University of Tsukuba designed an STM system based on a pump-probe method that can be used over a wide range of delay times as short as 30 femtoseconds (ACS Photonics, “Subcycle mid-infrared electric-field-driven scanning tunneling microscopy with a time resolution higher than 30 fs”).

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You’re on the PRO Robots channel, and today we’re bringing you some high-tech news. Robots from Boston Dynamics will get advanced artificial intelligence, neural networks will be able to translate the language of all animals, incredibly fast nanorobots will travel inside the human body, a robot-surgeon will perform an operation on the ISS. See these and other technology news in one video right now!

0:00 Intro.
0:28 Robots from Boston Dynamics get advanced artificial intelligence.
1:52 AI will never be intelligent.
2:50 Earth Species Project hopes to develop a neural network that can decipher animal language.
3:16 Species Project decides to go around and create an algorithm.
4:07 A gadget to control your smart home with your mind.
5:04 Nanobots.
5:19 The world’s fastest bowel robot.
6:10 Robots will join the U.S. space forces.
6:47 Surgical robot to be tested on ISS
7:37 GITAI News.
7:59 The first launch in NASA’s Artemis lunar mission.
8:34 Super Heavy rocket successfully passes first static firing test.
8:57 Gigafactory in Canada.
9:22 Baidu says its Jidu robot car autopilot will be a generation ahead of Tesla’s autopilot.
10:02 A system that can calculate the optimal end design and calculate the best trajectory for grabbing objects of any shape.
10:25 A drone to search for gold and jewelry.
11:22 Engineers have trained a drone with 12 rotary screws to manipulate objects.
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Research led by Sanford Burnham Prebys professor Francesca Marassi, Ph.D., is helping to reveal the molecular secrets of macular degeneration, which causes almost 90% of all age-related vision loss.

The study, published recently in the Biophysical Journal, describes the flexible structure of a key blood protein involved in macular degeneration and other age-related diseases, such as Alzheimer’s and atherosclerosis.

“Proteins in the blood are under constant and changing pressure because of the different ways blood flows throughout the body,” says Marassi. “For example, blood flows more slowly through small blood vessels in the eyes compared to larger arteries around the heart. Blood proteins need to be able to respond to these changes, and this study gives us fundamental truths about how they adapt to their environment, which is critical to targeting those proteins for future treatments.”