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Scientists from the Leibniz Institute for Astrophysics Potsdam (AIP) have discovered a new plasma instability that promises to revolutionize our understanding of the origin of cosmic rays and their dynamic impact on galaxies.

At the beginning of the last century, Victor Hess discovered a new phenomenon called cosmic rays that later on earned him the Nobel prize. He conducted high-altitude balloon flights to find that the Earth’s atmosphere is not ionized by the radioactivity of the ground. Instead, he confirmed that the origin of ionization was extra-terrestrial. Subsequently, it was determined that cosmic “rays” consist of charged particles from outer space flying close to the speed of light rather than radiation. However, the name “cosmic rays” outlasted these findings.

Recent advances in cosmic ray research.

Tesla has unveiled Gen 2 of it’s Optimus Robot… and WOW, the progress in the past year has been incredible. Tesla is well on their way to commercializing a humanoid robot later this decade. This represents the biggest change in Tesla’s addressable market ever, as the potential sales from a humanoid robot to replace manual labor could be $25T. For long-term Tesla investors this is a must watch project. People thought Elon Musk was crazy when he told the world about this AI project… but it’s getting closer to reality by the day. What do you think? Are you going to buy an Optimus robot? Why? Tesla Optimus Announcement on X: https://twitter.com/Tesla_Optimus/status/1734756150137225501 My Twitter: https://twitter.com/gfilche My Instagram: https://instagram.com/gfilche HyperChange Patreon smile https://www.patreon.com/hyperchange Dislaimer: I own Tesla Stock.

Dr Robert Sapolsky is a Professor at Stanford University, a world-leading researcher, and an author. Stress is an inevitable part of human life. But what is stress actually doing to the human body when it happens for such a prolonged period of time? And what does science say are the best interventions to defeat it? Expect to learn the crucial difference between short term and long term stress, how stress actually impacts the human system, the neurodevelopmental consequences of stress and poverty, how to detrain your dopamine sensitivity, what everyone doesn’t understand about how hormones work, whether believing in free will is a useful world view, why there is a relationship between belief in free will and obesity and much more…

Targeted drugs aim to pinpoint the exact location in the body where diseased tissue is located and where the medicine is required. The manifold benefits of administering a targeted drug include heightened efficacy, as the drug is meticulously designed for specificity, thereby reducing side effects, and minimizing damage to healthy tissue. Consequently, this approach enhances the patient’s quality of life during treatment.

Oligonucleotides (ONs), specifically designed short chains of DNA or RNA, have emerged as a crucial tool with immense potential in personalized medicine. These therapeutic ONs are already in use for conditions, such as certain types of muscular dystrophy and , which conventional drugs cannot address.

Depending on the type, ONs can function by, preventing or changing the production of a protein in the cell, particularly beneficial in diseases caused by the overproduction of a specific protein.

“The human brain has 100 billion neurons, each neuron connected to 10,000 other neurons. Sitting on your shoulders is the most complicated object in the known universe.” — Michio Kaku, PhD.

Since most examples of brain-inspired silicon chips are based on digital electronic principles, their capacity to fully imitate brain function is limited. Self-organizing brain organoids connected to microelectrode arrays (MEAs) can be changed in function to create neural networks. These networks, called organoid neural networks (ONNs), show the capacity for unsupervised learning, which is what artificial intelligence (AI) is based on. These mini-organs, when connected to the right hardware, can even be trained to recognize speech.

This brain-inspired computing hardware, or “Brainoware,” could overcome existing shortcomings in AI technologies, providing natural solutions to challenges regarding time and energy consumption and heat production of current AI hardware. These ONNs may also have the necessary complexity and diversity to mimic a human brain, which could inspire the development of more sophisticated and human-like AI systems.