Elon Musk says he wants Tesla’s humanoid robot to be considered a friend. Musk also joked that the company wanted to make the robot “good-looking.”
Speaking at the Cannes Lions International Festival of Creativity, Elon Musk discussed Tesla’s ambitions for its humanoid robot.
A little scifi sold again as near future situation.
Introducing Cognify, the prison of the future. This facility is designed to treat criminals like patients. Instead of spending years in an actual prison cell, prisoners could finish their sentence here in just a few minutes. Cognify could someday create and implant artificial memories directly into the prisoner’s brain. It could offer a new approach to criminal rehabilitation, transforming how society deals with offenders by focusing on rehabilitation rather than punishment. #Science #Technology #Research #NeuroScience #psychology.
Menthol detection predates the sensation of cold, indicating separate activation mechanisms that can be distinguished. This differentiation opens possibilities for novel pain treatments that avoid unwanted thermal side effects.
Millions of people around the globe suffer from chronic pain, and many existing treatments depend on opioids, which have significant addiction and overdose risks. Developing non-addictive pain relief options could transform how pain is managed. Recent research focusing on a human protein that controls cold sensations are paving the way for new pain medications. These innovative drugs aim to manage pain without altering body temperature or posing addiction risks.
A new study published in Science Advances on June 21, led by Wade Van Horn, professor in Arizona State University’s School of Molecular Sciences and Biodesign Center for Personalized Diagnostics, has uncovered new insights into the main human cold and menthol sensor TRPM8 (transient receptor potential melastatin 8). Using techniques from many fields like biochemistry and biophysics, their study revealed that it was a chemical sensor before it became a cold temperature sensor.
Building the quantum internet could be significantly simplified by leveraging existing telecommunications technologies and infrastructure. In recent years, researchers have identified defects in silicon—a widely used semiconductor material—that hold the potential for transmitting and storing quantum information across the prevalent telecommunications wavelengths. These silicon defects might just be the prime contenders to host qubits for efficient quantum communications.
Exploring Quantum Defects in Silicon
“It’s still a Wild West out there,” said Evelyn Hu, the Tarr-Coyne Professor of Applied Physics and of Electrical Engineering at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS). “Even though new candidate defects are a promising quantum memory platform, there is often almost nothing known about why certain recipes are used to create them, and how you can rapidly characterize them and their interactions, even in ensembles. And ultimately, how can we fine-tune their behavior so they exhibit identical characteristics? If we are ever to make a technology out of this wide world of possibilities, we must have ways to characterize them better, faster, and more efficiently.”
Positioned between microwaves and infrared light, terahertz waves are key to pioneering advancements in imaging and diagnostic technologies. A recent discovery at Tohoku University of a material that can emit these waves more intensely promises to catalyze significant breakthroughs across a spectrum of industries.
Terahertz waves are being intensely studied by researchers around the world seeking to understand the “terahertz gap.” Terahertz waves have a specific frequency that put them somewhere between microwaves and infrared light. This range is referred to as a “gap” because much remains unknown about these waves. In fact, it was only relatively recently that researchers were able to develop the technology to generate them. Researchers at Tohoku University have brought us closer to understanding these waves and filling in this gap of knowledge.
Breakthrough in Terahertz Wave Generation.
A recent study at MIT has debunked the effectiveness of a new MRI method called DIANA, which was initially thought to directly detect neural activity.
Instead, the signals detected were found to be artifacts produced by the imaging process itself, highlighting the complexities and challenges in developing accurate neuroimaging techniques.
According to scientists at MIT’s McGovern Institute for Brain Research, a new way of imaging the brain with magnetic resonance imaging (MRI) does not directly detect neural activity as originally reported.
A new study highlights the successful development of the first flexible perovskite/silicon tandem solar cell with a record efficiency of 22.8%, representing a major advance in flexible solar cell technology.
Although rigid perovskite/silicon tandem solar cells have seen impressive advancements, achieving efficiencies as high as 33.9%, the development of flexible versions of these cells has been limited. The main hurdle is improving light absorption in the ultrathin silicon bottom cells without compromising their mechanical flexibility.
In their pioneering study, a research team led by Dr. Xinlong Wang, Dr. Jingming Zheng, Dr. Zhiqin Ying, Prof. Xi Yang, and Prof. Jichun Ye from the Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, has successfully demonstrated the first flexible perovskite/silicon tandem solar cell based on ultrathin silicon, with a thickness of approximately 30 µm. By reducing wafer thicknesses and adjusting the feature sizes of light-trapping textures, they significantly improved the flexibility of the silicon substrate without compromising light utilization. Additionally, by capping the perovskite top cells, they enhanced the mechanical durability of the device, thus addressing concerns related to fractures in the silicon surface.
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Plus, Turing also showed that achieving universality doesn’t require anything fancy. The basic equipment of a universal machine is just not more advanced than a kid’s abacus — operations like incrementing, decrementing, and conditional jumping are all it takes to create software of any complexity: be it a calculator, Minecraft, or an AI chatbot.
Likewise, consciousness might just be an emergent property of the software running AGI, much like how the hardware of a universal machine gives rise to its capabilities. Personally, I don’t buy into the idea of something sitting on top of the physical human brain — no immortal soul or astral “I” floating around in higher dimensions. It’s all just flesh and bone. Think of it like an anthill: this incredibly complex system doesn’t need some divine spirit to explain its organized society, impressive architecture, or mushroom farms. The anthill’s intricate behaviour, often referred to as a superorganism, emerges from the interactions of its individual ants without needing to be reduced to them. Similarly, a single ant wandering around in a terrarium won’t tell you much about the anthill as a whole. Brain neurons are like those ants — pretty dumb on their own, but get around 86 billion of them together, and suddenly you’ve got “I” with all its experiences, dreams, and… consciousness.
So basically, if something can think, it can also think about itself. That means consciousness is a natural part of thinking — it just comes with the territory. And if you think about it, this also means you can’t really have thinking without consciousness, which brings us back to the whole Skynet thing.
