S.B.G & CIG - Robit Brains
S.B.G & CIG - Robit Brains
Human Brain Replicas for AI FleshBots & AI Humanoid Robots
Advancing Research in creating brain like computers for robots replicating humans
INCOMPLETE EFFORT
Reference
Yes, some robots are being developed with "human brain-like" intelligence by incorporating living human brain cells and organoids into a brain-on-a-chip system. This approach uses stem cells to create biological neural networks on a chip, allowing for organic information processing, learning, and adaptation. This differs from traditional silicon-based AI and offers a new path to developing smart, adaptable robots with biological computing power.
Key Aspects
• Biological Components:
Instead of relying solely on silicon circuits, these robots use living, human-derived brain cells and organoids grown from stem cells.
• Brain-on-a-Chip:
The cultivated brain cells are placed on a microchip, creating a hybrid system that merges biological and artificial components.
• Organic Information Processing:
The living neural networks process information in a way that mimics the complex pathways of a human brain, allowing for organic computing.
• Learning and Adaptation:
These "wetware" brains can learn from interactions with their environment and adapt to new situations, much like living creatures.
• Advantages over Traditional AI:
This technology could offer an alternative to conventional AI, which requires significant power and large amounts of data for training, potentially allowing for faster learning in the biological system.
How it Works
• 1. Cell Cultivation:
Researchers use stem cells to grow and nurture brain cells in a lab, encouraging them to form intricate networks that resemble natural brain tissue.
• 2. Bio-Electronic Interface:
The cultivated neural network is then connected to a microchip with high-density multi-electrode arrays.
• 3. Signal Translation:
Specialized bio-electronic interfaces are developed to detect electrical signals from the neural cells and stimulate them, translating between biological and electronic systems.
• 4. Robotic Control:
These biological neural networks then control the robotic functions, enabling tasks like obstacle avoidance, grasping, and navigating new environments.
Future Potential
• New AI Approaches:
This technology represents a paradigm shift in artificial intelligence and robotics.
• Understanding Neurological Diseases:
The ability to study these complex biological neural networks could lead to breakthroughs in understanding and treating neurological diseases.
Human Brain Replicas for AI FleshBots & AI Humanoid Robots
Advancing Research in creating brain like computers for robots replicating humans
INCOMPLETE EFFORT
Reference
Yes, some robots are being developed with "human brain-like" intelligence by incorporating living human brain cells and organoids into a brain-on-a-chip system. This approach uses stem cells to create biological neural networks on a chip, allowing for organic information processing, learning, and adaptation. This differs from traditional silicon-based AI and offers a new path to developing smart, adaptable robots with biological computing power.
Key Aspects
• Biological Components:
Instead of relying solely on silicon circuits, these robots use living, human-derived brain cells and organoids grown from stem cells.
• Brain-on-a-Chip:
The cultivated brain cells are placed on a microchip, creating a hybrid system that merges biological and artificial components.
• Organic Information Processing:
The living neural networks process information in a way that mimics the complex pathways of a human brain, allowing for organic computing.
• Learning and Adaptation:
These "wetware" brains can learn from interactions with their environment and adapt to new situations, much like living creatures.
• Advantages over Traditional AI:
This technology could offer an alternative to conventional AI, which requires significant power and large amounts of data for training, potentially allowing for faster learning in the biological system.
How it Works
• 1. Cell Cultivation:
Researchers use stem cells to grow and nurture brain cells in a lab, encouraging them to form intricate networks that resemble natural brain tissue.
• 2. Bio-Electronic Interface:
The cultivated neural network is then connected to a microchip with high-density multi-electrode arrays.
• 3. Signal Translation:
Specialized bio-electronic interfaces are developed to detect electrical signals from the neural cells and stimulate them, translating between biological and electronic systems.
• 4. Robotic Control:
These biological neural networks then control the robotic functions, enabling tasks like obstacle avoidance, grasping, and navigating new environments.
Future Potential
• New AI Approaches:
This technology represents a paradigm shift in artificial intelligence and robotics.
• Understanding Neurological Diseases:
The ability to study these complex biological neural networks could lead to breakthroughs in understanding and treating neurological diseases.
• Hybrid Intelligence:
It blurs the lines between artificial and biological intelligence, paving the way for new forms of smart systems.
The device detects hand movement, stores memories, and processes information like a human brain, without needing an external computer. RMIT researchers combined neuromorphic materials with advanced signal processing to create a device capable of capturing and processing visual information in real time.
https://interestingengineering.com/innovation/device-mimics-brain-to-enhance-humanoid-robotics#:~:text=The device detects hand movement,visual information in real time.
CHINA CHINKI CHINA A ORIENTAL OH OH HO
China's 'Darwin Monkey' is the world's largest brain-inspired supercomputer
Darwin Monkey or 'Wukong' features over 2 billion artificial neurons and more than 100 billion synapses — similar to the neural structure of a macaque.
Scientists in China have unveiled a supercomputer built on brain-like architecture — specifically, that of a monkey.
Called Darwin Monkey or "Wukong", the system features over 2 billion artificial neurons and more than 100 billion synapses, putting it roughly on par with the neural structure of a macaque.
The researchers hope it will serve as a simulation tool for neuroscientists while also providing a stepping stone toward artificial general intelligence (AGI) — an artificial intelligence (AI) system that possesses human-like intelligence and reasoning.
Br(AI)n power
It blurs the lines between artificial and biological intelligence, paving the way for new forms of smart systems.
The device detects hand movement, stores memories, and processes information like a human brain, without needing an external computer. RMIT researchers combined neuromorphic materials with advanced signal processing to create a device capable of capturing and processing visual information in real time.
https://interestingengineering.com/innovation/device-mimics-brain-to-enhance-humanoid-robotics#:~:text=The device detects hand movement,visual information in real time.
CHINA CHINKI CHINA A ORIENTAL OH OH HO
China's 'Darwin Monkey' is the world's largest brain-inspired supercomputer
Darwin Monkey or 'Wukong' features over 2 billion artificial neurons and more than 100 billion synapses — similar to the neural structure of a macaque.
Scientists in China have unveiled a supercomputer built on brain-like architecture — specifically, that of a monkey.
Called Darwin Monkey or "Wukong", the system features over 2 billion artificial neurons and more than 100 billion synapses, putting it roughly on par with the neural structure of a macaque.
The researchers hope it will serve as a simulation tool for neuroscientists while also providing a stepping stone toward artificial general intelligence (AGI) — an artificial intelligence (AI) system that possesses human-like intelligence and reasoning.
Br(AI)n power
Unlike traditional artificial neural networks, which follow classical computing principles and process data via continuously changing binary values, neuromorphic systems like Darwin Monkey are driven by spiking neural networks (SNNs).
SNNs mimic how signals are transmitted between neurons in the brains of mammals, responding to electrical signals to process and transmit data through on-and-off bursts (or spikes) of activity.
A biological neuron fires an electrical pulse when the signals it receives from other neurons reach a level strong enough to trigger a response. Artificial neurons in SNNs mimic this mechanism, firing only when they've built up enough electrical input.
Where software-based neural networks are a collection of machine learning algorithms arranged to emulate the human brain, SNNs physically replicate the way information moves between biological neurons. This configuration allows SNNs to process data in parallel, potentially making them more powerful than conventional supercomputer architectures.
It may also be more energy efficient: artificial neurons enter a brief rest period after each spike, during which they can't respond to new inputs. This limits how often they fire, helping to reduce overall power consumption.
SNNs mimic how signals are transmitted between neurons in the brains of mammals, responding to electrical signals to process and transmit data through on-and-off bursts (or spikes) of activity.
A biological neuron fires an electrical pulse when the signals it receives from other neurons reach a level strong enough to trigger a response. Artificial neurons in SNNs mimic this mechanism, firing only when they've built up enough electrical input.
Where software-based neural networks are a collection of machine learning algorithms arranged to emulate the human brain, SNNs physically replicate the way information moves between biological neurons. This configuration allows SNNs to process data in parallel, potentially making them more powerful than conventional supercomputer architectures.
It may also be more energy efficient: artificial neurons enter a brief rest period after each spike, during which they can't respond to new inputs. This limits how often they fire, helping to reduce overall power consumption.
Researchers say Darwin Monkey consumes just 2,000 watts of power — roughly the equivalent of an electric kettle or hairdryer — despite being powered by 960 Darwin III neuromorphic chips, each of which supports up to 2.35 million spiking neurons.
Other neuromorphic computers
The previous record-holder in neuromorphic computing was Intel's Hala Point system, which comprises 1.15 billion artificial neurons and 128 billion artificial synapses distributed over 140,544 processing cores.
Intel claims its system is capable of performing 20 quadrillion operations per second — or 20 petaops. But as there are very few neuromorphic computers currently in existence, and as they process data differently from supercomputers, it's difficult to compare them on a like-for-like basis.
In a statement, translated into English using Google Translate, the team behind Darwin Monkey said the platform had already demonstrated its capabilities in cognitive tasks such as logical reasoning, content generation and mathematical problem-solving, using an AI model developed by Chinese AI startup DeepSeek.
The system is also being used to simulate the brains of animals with varying levels of neural complexity, including zebrafish and mice, as part of broader efforts to support brain science research.
Darwin Monkey was designed by researchers from Zhejiang University and Zhejiang Lab, a research institute jointly established by the Zhejiang provincial government and Alibaba Group, a Chinese technology conglomerate.
It follows the launch of Darwin Mouse ("Mickey") in September 2020, which contains 120 million artificial neurons — the equivalent of a mouse's brain.
https://www.livescience.com/technology/computing/chinas-darwin-monkey-is-the-worlds-largest-brain-inspired-supercomputer
CATL Batteries
https://youtu.be/Wf84NJSiAeU?si=hHG6LZS0ICQjtZt_
CATL VS BYD
https://youtu.be/zrFQ67gGUAM?si=QXNEn0LuuueYvejn
CATL IS LEADER
CATL is a leader in developing and mass-producing sodium-ion batteries, branded under the name Naxtra, with mass production scheduled to begin in late 2025 or 2027 depending on the generation. These batteries offer significant advantages such as improved performance in low-temperature environments, faster charging capabilities, and potential for lower costs due to the abundance of sodium. The Naxtra battery has an energy density of 175 Wh/kg for its second generation and is targeting applications in heavy-duty vehicles, energy storage, and eventually electric vehicles.
Key Features & Benefits
• Fast Charging:
They offer enhanced charging speeds, with potential capabilities for rapid charging that could add significant range in a short time.
• Cost and Sustainability:
Sodium is more abundant and cheaper than lithium, making these batteries a more sustainable and potentially lower-cost alternative for many applications.
• High Cycle Life:
The batteries are rated for over 10,000 charge cycles, indicating long-term durability.
Target Markets
• Heavy-Duty Vehicles & Energy Storage: These are the initial target markets due to the battery's superior cold-weather performance.
• Electric Vehicles (EVs): CATL plans to expand into hybrid and fully electric vehicles.
CATL's Strategy
• Naxtra Brand: The Naxtra is CATL's branded sodium-ion battery technology.
• Hybrid Approach: CATL also develops hybrid battery packs that combine lithium and sodium cells to leverage the benefits of both technologies.
• Market Expansion: CATL anticipates sodium-ion batteries could eventually replace a significant portion of the current lithium iron phosphate (LFP) battery market.
CATL's sodium-ion batteries use abundant and cheap sodium instead of lithium, making them significantly more cost-effective and safer than lithium-ion batteries, which are more energy-dense but pose fire risks and are prone to reduced performance in cold temperatures. While sodium batteries have lower energy density and shorter lifespans, they offer superior low-temperature performance and enhanced safety, making them a promising alternative, particularly for price-sensitive applications and regions with strict safety regulations.
Advantages of CATL Sodium Batteries
• Cost-Effectiveness:
Sodium is thousands of times more abundant than lithium, using readily available and cheap materials like salt, significantly reducing battery costs.
• Enhanced Safety:
Sodium-ion batteries are less prone to fire and explosion compared to lithium-ion batteries, showing greater stability and higher self-heating temperatures. They can even be fully discharged to 0V for safer transportation.
• Superior Low-Temperature Performance:
Sodium batteries excel in cold conditions, maintaining functionality even at -40°C without the need for heating elements.
• Abundant Resources:
The global reliance on scarce lithium is reduced, as sodium resources are significantly more available.
Disadvantages of CATL Sodium Batteries
• Lower Energy Density:
Sodium ions are larger than lithium ions, meaning sodium batteries have lower energy density, or less energy stored per unit of volume, than lithium-ion batteries.
• Shorter Lifespan:
The larger sodium ions can cause stress on electrode materials, contributing to a shorter lifespan compared to lithium-ion batteries.
• Manufacturing Challenges:
While materials are cheap, the larger volume of sodium ions creates challenges for manufacturing efficiency and electrode materials, which CATL has worked to overcome.
Other neuromorphic computers
The previous record-holder in neuromorphic computing was Intel's Hala Point system, which comprises 1.15 billion artificial neurons and 128 billion artificial synapses distributed over 140,544 processing cores.
Intel claims its system is capable of performing 20 quadrillion operations per second — or 20 petaops. But as there are very few neuromorphic computers currently in existence, and as they process data differently from supercomputers, it's difficult to compare them on a like-for-like basis.
In a statement, translated into English using Google Translate, the team behind Darwin Monkey said the platform had already demonstrated its capabilities in cognitive tasks such as logical reasoning, content generation and mathematical problem-solving, using an AI model developed by Chinese AI startup DeepSeek.
The system is also being used to simulate the brains of animals with varying levels of neural complexity, including zebrafish and mice, as part of broader efforts to support brain science research.
Darwin Monkey was designed by researchers from Zhejiang University and Zhejiang Lab, a research institute jointly established by the Zhejiang provincial government and Alibaba Group, a Chinese technology conglomerate.
It follows the launch of Darwin Mouse ("Mickey") in September 2020, which contains 120 million artificial neurons — the equivalent of a mouse's brain.
https://www.livescience.com/technology/computing/chinas-darwin-monkey-is-the-worlds-largest-brain-inspired-supercomputer
EV BATTERY
Sodium-Ion & Lithium
https://youtu.be/DsyRcPBXkBs?si=78FfsPMpJivhqPgW
https://youtu.be/DsyRcPBXkBs?si=78FfsPMpJivhqPgW
CATL Salt + Secret Weapon
https://youtu.be/DDUNkIakucI?si=nHkJwTjC8grSNQxr
https://youtu.be/DDUNkIakucI?si=nHkJwTjC8grSNQxr
CATL Batteries
https://youtu.be/Wf84NJSiAeU?si=hHG6LZS0ICQjtZt_
CATL VS BYD
https://youtu.be/zrFQ67gGUAM?si=QXNEn0LuuueYvejn
Amino-Acid Reduction & Nutrition - Nutrient & Mineral controls for aging in a balanced effort with 1200 - 1800 calories daily with exercise
Regular & excertion
https://www.sciencealert.com/cutting-back-on-one-amino-acid-increased-lifespan-of-mice-by-up-to-33
Regular & excertion
https://www.sciencealert.com/cutting-back-on-one-amino-acid-increased-lifespan-of-mice-by-up-to-33
China. Leading the Way
https://restofworld.org/2025/dan-wang-breakneck-book-china-tech/
CATL IS LEADER
CATL is a leader in developing and mass-producing sodium-ion batteries, branded under the name Naxtra, with mass production scheduled to begin in late 2025 or 2027 depending on the generation. These batteries offer significant advantages such as improved performance in low-temperature environments, faster charging capabilities, and potential for lower costs due to the abundance of sodium. The Naxtra battery has an energy density of 175 Wh/kg for its second generation and is targeting applications in heavy-duty vehicles, energy storage, and eventually electric vehicles.
Key Features & Benefits
• Low-Temperature Performance:
Naxtra batteries maintain over 90% of their capacity at -20°C and can function even when frozen to -40°C.
Naxtra batteries maintain over 90% of their capacity at -20°C and can function even when frozen to -40°C.
• Fast Charging:
They offer enhanced charging speeds, with potential capabilities for rapid charging that could add significant range in a short time.
• Cost and Sustainability:
Sodium is more abundant and cheaper than lithium, making these batteries a more sustainable and potentially lower-cost alternative for many applications.
• High Cycle Life:
The batteries are rated for over 10,000 charge cycles, indicating long-term durability.
Target Markets
• Heavy-Duty Vehicles & Energy Storage: These are the initial target markets due to the battery's superior cold-weather performance.
• Electric Vehicles (EVs): CATL plans to expand into hybrid and fully electric vehicles.
CATL's Strategy
• Naxtra Brand: The Naxtra is CATL's branded sodium-ion battery technology.
• Hybrid Approach: CATL also develops hybrid battery packs that combine lithium and sodium cells to leverage the benefits of both technologies.
• Market Expansion: CATL anticipates sodium-ion batteries could eventually replace a significant portion of the current lithium iron phosphate (LFP) battery market.
CATL's sodium-ion batteries use abundant and cheap sodium instead of lithium, making them significantly more cost-effective and safer than lithium-ion batteries, which are more energy-dense but pose fire risks and are prone to reduced performance in cold temperatures. While sodium batteries have lower energy density and shorter lifespans, they offer superior low-temperature performance and enhanced safety, making them a promising alternative, particularly for price-sensitive applications and regions with strict safety regulations.
Advantages of CATL Sodium Batteries
• Cost-Effectiveness:
Sodium is thousands of times more abundant than lithium, using readily available and cheap materials like salt, significantly reducing battery costs.
• Enhanced Safety:
Sodium-ion batteries are less prone to fire and explosion compared to lithium-ion batteries, showing greater stability and higher self-heating temperatures. They can even be fully discharged to 0V for safer transportation.
• Superior Low-Temperature Performance:
Sodium batteries excel in cold conditions, maintaining functionality even at -40°C without the need for heating elements.
• Abundant Resources:
The global reliance on scarce lithium is reduced, as sodium resources are significantly more available.
Disadvantages of CATL Sodium Batteries
• Lower Energy Density:
Sodium ions are larger than lithium ions, meaning sodium batteries have lower energy density, or less energy stored per unit of volume, than lithium-ion batteries.
• Shorter Lifespan:
The larger sodium ions can cause stress on electrode materials, contributing to a shorter lifespan compared to lithium-ion batteries.
• Manufacturing Challenges:
While materials are cheap, the larger volume of sodium ions creates challenges for manufacturing efficiency and electrode materials, which CATL has worked to overcome.
COMPARISION OF SODIUM-ION BATTERIES WITH LITHIUM-ION BATTERIES, CURRENT STATUS, CHALLENGES AND APPLICATIONS
https://www.linkedin.com/pulse/comparision-sodium-ion-batteries-lithium-ion-current-status-tharad-7zshe?utm_source=share&utm_medium=member_android&utm_campaign=share_via
Refining Retrofit Kits & Ground Up
S.B.G & CIG



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