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The idea of creating machines that can think and act like humans is smoothly transforming from fiction to reality. Humanoid robots, digital humans, ChatGPT, and unmanned cars — today there are many applications driven by artificial intelligence that surpass humans in speed, accuracy, efficiency and tirelessness. But only in narrow areas so far.
And yet, this gives us hope to see a real miracle in the near future — artificial intelligence equal or superior to human intelligence in all parameters!
Can AI compare with us? Surpass us? Replace us? Deceive us and pursue its own goals? Today we will tell you how a miracle of nature such as the human brain differs from the main technology of the 21st century — artificial intelligence, and what prospects we have with AI in the future!

The journey of artificial intelligence (AI) is a captivating saga, dating back to 1956 when John McCarthy coined the term at a Dartmouth conference. Through the ensuing decades, AI witnessed three significant booms. Between the 1950s-70s, pioneers introduced groundbreaking neural perception networks and chat software. Though they foresaw AI surpassing human capabilities in a decade, this dream remained unfulfilled. By the 1980s, the second wave took shape, propelled by new machine learning techniques and neural networks, which promised innovations like speech recognition. Yet, many of these promises fell short.

But the tide turned in 2006. Deep learning emerged, and by 2016, AI systems like AlphaGo were defeating world champions. The third boom began, reinforced by large language models like ChatGPT, igniting discussions about amalgamating AI with humanoid robots. Discover more about this fascinating trend in our linked issue.

Our progress in cognitive psychology, neuroscience, quantum physics, and brain research has heavily influenced AI’s trajectory. Especially significant is our understanding of the human brain, pushing the boundaries of neural network development. Can AI truly emulate human cognition?

Continue reading “Human Brain vs. Artificial Intelligence: Reality and Prospects” | >

A study reveals DNA

DNA, or deoxyribonucleic acid, is a molecule composed of two long strands of nucleotides that coil around each other to form a double helix. It is the hereditary material in humans and almost all other organisms that carries genetic instructions for development, functioning, growth, and reproduction. Nearly every cell in a person’s body has the same DNA. Most DNA is located in the cell nucleus (where it is called nuclear DNA), but a small amount of DNA can also be found in the mitochondria (where it is called mitochondrial DNA or mtDNA).

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Electrons have a hidden feature — spin — that could revolutionize technology. Magnets can control it, but researchers are now exploring chiral molecules as an alternative. These uniquely shaped molecules might help direct electron spin just as well, opening new possibilities for future electronics.

Electrons are well known for their negative charge, which plays a key role in electric currents. However, they also possess another important property: spin, or magnetic moment. This characteristic has significant potential for improving data storage technologies, but controlling electron spin has proven challenging.

Specifically, isolating electrons with a particular spin direction, such as spin-up, is difficult. One established method involves passing an electric current through a ferromagnetic material, like iron. This process aligns the spin polarization of the electrons with the material’s magnetic field.

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Researchers have uncovered a way to manipulate DNA

DNA, or deoxyribonucleic acid, is a molecule composed of two long strands of nucleotides that coil around each other to form a double helix. It is the hereditary material in humans and almost all other organisms that carries genetic instructions for development, functioning, growth, and reproduction. Nearly every cell in a person’s body has the same DNA. Most DNA is located in the cell nucleus (where it is called nuclear DNA), but a small amount of DNA can also be found in the mitochondria (where it is called mitochondrial DNA or mtDNA).

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Discover how the Chinese startup DeepSeek is revolutionizing AI with its groundbreaking models! In this video, we dive into the journey of Liang Wenfeng, the innovative mind behind DeepSeek, and explore how their latest model, DeepSeek-V3, outperforms industry giants using surprisingly basic hardware. Learn about their unique approach to talent acquisition, the significance of open-source development, and how they are democratizing access to advanced AI technology. Join us as we analyze the impact of DeepSeek on the global AI landscape and what it means for the future of artificial intelligence. Don’t forget to like, comment, and subscribe for more insights on AI breakthroughs!

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Continue reading “The Man Behind DeepSeek (Liang Wenfeng)” | >

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A team of engineers and roboticists at the University of Hong Kong have designed, built and tested an aerial robot capable of navigating unknown environments safely at high speeds while avoiding obstacles. In their paper published in the journal Science Robotics, the group describes how they overcame problems encountered by others attempting to build similar robots and how well their quadcopter robot, called SUPER, performed during testing.

Roboticists have been trying for several years to build a flying robot that could perform like birds—moving safely at high speeds while adjusting to unknown conditions as they arise, such as encountering gusts of wind, , tree limbs or other objects appearing suddenly in their path.

Most such flying robots have relied on various types of sensors and cameras that had to process massive amounts of video data, slowing the speeds at which they could operate. In this new effort, the researchers in Hong Kong say they have finally overcome these challenges.

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Living matter remains the quintessential puzzle of biological sciences, a question that embodies the intricate complexity and stunning diversity of life forms. A new study suggests that one viable approach to address this extreme complexity is to conceptualize living matter as a cascade of machines producing machines.

This cascade illustrates how cells are composed of smaller submachines, reaching down to the where molecular machines, such as ion pumps and enzymes, operate. In the other direction, it explains how cells self-organize into larger systems, such as tissues, organs, and populations, cumulating into the biosphere.

This new conceptual framework is a fruit of collaboration between Professors Tsvi Tlusty from the Department of Physics at Ulsan National Institute of Science and Technology (UNIST), South Korea, and Albert Libchaber from the Center for Physics and Biology at Rockefeller University, New York. The study was inspired by the seventeenth-century polymath Gottfried Leibniz, who noted that “the machines of nature, that is living bodies, are still machines in their smallest parts, to infinity.”

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The structural design of molecular machines and motors endows them with externally controlled directional motion at the molecular scale. Molecular machines based on both interlocked and non-interlocked molecules and driven by a variety of external stimuli such as light, electrical-or thermal energy, and chemical-or redox processes have been reported. With the field moving forward, they were incorporated into surfaces and interfaces to realize amplified directional molecular motion at the nanoscale which can be applied in the control of macroscopic material properties. More recently, molecular motors and molecular machines based on interlocked molecules have been organized into three dimensional materials to expand their functionality in the solid state and enrich their applicability.

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