Hewlett Packard Enterprise - One of two HPE Cray EX supercomputers to exceed an exaflop, Aurora is the second-fastest supercomputer in the world:

https://www.hpe.com/us/en/newsroom/press-release/2024/05/hewlett-packard-enterprise-delivers-second-exascale-supercomputer-aurora-to-us-department-of-energys-argonne-national-laboratory.html

#HewlettPackard #HPE #Cray #Supercomputer #Aurora #Exascale #Quintillion #Argonne #HighPerformanceComputing #HPC #GenerativeAI #ArtificialIntelligence #AI #ComputerScience #Engineering

Brain Computer Interface Technology: Brain Chip, Synthetic Telepathy, Metaverse, Shared Lives. Targeted Individuals Are The Testing Ground For AI World Control In Sentient World Simulation Since 2007
Ana Maria Mihalcea, MD, PhD
These videos were found on this site:
Above Ted Talk explains the brain chip that is reality - this was 6 years ago.
Brain Computer interface technology opens up a world of possibilities. We are on the cusp of this technology that is so powerful and has the potential to so radically transform our lives and existence! After starting three venture-funded startups in Silicon Valley, Steven Hoffman, known as Captial Hoff, launched Founders Space with the mission to educate and accelerate entrepreneurs and intrapreneur. Founder Space has become one of the top startup accelerators in the world with over 50 partners in 22 countries.
This video explains how targeted individuals are the testing ground of what will happen to the entire human race. Amazon whistleblower describes how they have seen the software that allows operators of this WBAN remote neural network to see the world THROUGH the eyes of the targeted human and AI manipulates all brain wave and body functions. Must watch all these videos to understand the technology I have been showing in the blood and the transhumanist agenda. In the video, Ray Kurzweil explained how the nanobots in the brain interface with the digital self and shut down your own sensory input. Steve Hoffman called it an “Evil AI” manipulating human zombies, who think they are free, but they are not.
Digital Super Intelligence has fused with Biological Intelligence turning humans into Biorobots
This is the Sentient World Simulation explained:
DARPA AVATAR PROJECT LINKS YOUR MIND TO A DIGITAL WORLD INSIDE A QUANTUM COMPUTER
The control of a targeted individual starts by getting the individuals DNA, from laboratories like Lab Corp or Quest. This allows for your resonant frequency DNA to be obtained that the AI Supercomputer then can access and remote target people. This is used for mass mind control and all Americans are currently in this simulation.
Amazon and the CIA partnered for social engineering and Amazon owns the DNA database for Americans.
The Covid19 bioweapons were further deployment of the technological infrastructure of the brain computer interface.
When you understand how all of the technology works and that targeted individuals are the testing ground for total world control for humanity, you may realize the importance of our fight for justice.
Join us on our quest to educate the public and to help end the remote tracking and torture program of innocent civilians.
https://open.substack.com/pub/anamihalceamdphd/p/brain-computer-interface-technology?r=1tqe1i&utm_medium=ios&utm_campaign=post

The DeepSouth supercomputer goes live in 2024. It mimics the human brain with 228 trillion operations per second, simulating brain-like networks at scale. #AI

supercomputer white ai

Supercomputer artificial intelligence n°3

Supercomputer artificial intelligence n°1

A supercomputer is an extremely powerful computing machine with the ability to process massive amounts of data and perform complex calculations at extremely high speeds. These machines are used for tasks that require immense computational power, such as weather modeling, nuclear simulations, molecular modeling, and other scientific and engineering applications.

Key characteristics of supercomputers include:

Processing Power: Supercomputers are designed to handle a huge number of calculations per second (measured in FLOPS - Floating Point Operations Per Second). This processing power allows them to tackle complex problems that would be impractical or impossible for traditional computers.

Parallel Processing: Supercomputers often use parallel processing, where multiple processors work simultaneously on different parts of a problem. This parallelism allows for faster computation and the ability to handle large datasets.

Specialized Architecture: Supercomputers may have a unique and specialized architecture tailored to the specific tasks they are designed to perform. This can include vector processing, custom hardware accelerators, or other optimizations.

High-Speed Interconnects: Communication between the individual processors in a supercomputer is crucial. High-speed interconnects allow for efficient data exchange and coordination among the different components.

Large Memory Capacity: Supercomputers typically have a significant amount of RAM (Random Access Memory) to support the processing of large datasets and complex algorithms.

Cooling Systems: The immense computational power of supercomputers generates a substantial amount of heat. Advanced cooling systems, such as liquid cooling or specialized air-cooling solutions, are essential to maintain optimal operating temperatures.

Supercomputers play a crucial role in advancing scientific research, solving complex problems, and simulating real-world scenarios. Organizations and research institutions around the world use supercomputers to tackle challenges in fields like climate modeling, astrophysics, drug discovery, and more. Examples of supercomputers include Summit, Fugaku, and Tianhe-2. The field of supercomputing is dynamic, with new and more powerful systems regularly being developed to push the boundaries of computational capability.

Computer types


There are various types of computers designed for different purposes, and they can be categorized based on their size, performance, and intended use. Here are some common types of computers:

Personal Computers (PCs):
Desktops: Traditional computers that consist of a separate monitor, keyboard, and processing unit.
Laptops: Portable computers with an integrated screen and keyboard, designed for on-the-go use.
Workstations: High-performance computers optimized for tasks such as graphic design, video editing, and scientific applications.

Servers:
File Servers: Manage and store files for a network of computers.
Web Servers: Host websites and web applications.
Database Servers: Handle database-related tasks for applications.

Mainframes:
Powerful, large-scale computers designed for handling complex computing tasks and serving multiple users simultaneously.

Supercomputers:
Extremely powerful computers used for scientific and engineering calculations, weather modeling, and other complex simulations.

Embedded Computers:
Integrated into other devices or systems, such as cars, appliances, industrial machines, and medical devices.

Smartphones and Tablets:
Mobile devices that combine computing power with communication capabilities.

Gaming Consoles:
Specialized computers designed for playing video games.

Wearable Computers:
Devices like smartwatches and fitness trackers that are worn on the body.

Quantum Computers:
Experimental computers that use the principles of quantum mechanics for processing information.

Single-Board Computers:
Compact computers with all components, including CPU, memory, and I/O, integrated onto a single circuit board (e.g., Raspberry Pi).

Microcontrollers:
Embedded computers with a microprocessor, memory, and input/output peripherals, commonly used in electronic devices and appliances.

Cloud Computers:
Virtualized computing resources accessed over the internet, providing scalable and on-demand services.

These are just a few examples, and advancements in technology may lead to the development of new types of computers in the future. Each type of computer serves specific purposes and is designed to meet the requirements of particular applications.

Neuromorphic Computers:
Designed to mimic the structure and function of the human brain, these computers aim to perform tasks related to artificial intelligence and machine learning more efficiently.

HPC (High-Performance Computing) Clusters:
Groups of interconnected computers that work together to solve complex computational problems, often used in scientific research and simulations.

Network Computers:
Computers optimized for network tasks, often used in data communication and network management.

Rugged Computers:
Built to withstand harsh environmental conditions, such as extreme temperatures, moisture, and vibrations. Commonly used in military applications and outdoor fieldwork.

Kiosks:
Computers designed for public use, often with specialized software for specific tasks like information retrieval, ticket purchasing, or self-checkout.

Thin Clients:
Lightweight computers that rely on a central server for processing and storage, commonly used in environments where centralized management is preferred.

Digital Signal Processors (DSPs):
Specialized microprocessors designed for efficient processing of signals in applications like audio and video processing.

AI Accelerators:
Hardware specifically designed to accelerate artificial intelligence workloads, often used in conjunction with traditional CPUs and GPUs.

Robotics Controllers:
Computers that control the operation of robots, providing the necessary computational power for tasks like sensing, decision-making, and motion control.

Bioinformatics Servers:
Computers used for processing and analyzing biological data, such as DNA sequences and protein structures.

POS (Point of Sale) Systems:
Computers used in retail environments for processing transactions, managing inventory, and tracking sales.

Educational Computers:
Computers designed for educational purposes, often with features tailored to support learning and skill development in students.

The field of computing is diverse, and specialized computers continue to be developed to meet the demands of specific industries and applications. Advances in technology often lead to the creation of new types of computers with improved capabilities and functionalities.

Jorge Salazar - Scientists use supercomputers to make optical tweezers safer for living cells:

https://phys.org/news/2023-11-scientists-supercomputers-optical-tweezers-safer.html

#OpticalTweezers #Tweezers #HypothermalOptoThermophoretic #HOTT #Supercomputing #ComputationalScience #Physics

Supercomputers of the future have the potential to push past current technological limits by using brain organoids taken from tiny human skin samples.

World fastest supercomputer known as frontier is said to solve quintillion problem per second 10^30 (1000000000000000000000000000000) super fast indeed which mean its able to complete 1 quintrillon problem per second.

Really can't imagine how fast this would be, this also means it would require some good amount of energy to process data which results to heat emission and requires water for cooling purposes.


[Image source](https://www.instagram.com/p/CnIoxwiMgl0/?igshid=YmMyMTA2M2Y=)

Quantum computer and blockchain technology
Did you know cryptographic keys can not be cracked by any supercomputer, and if it's possible it will take about 10 years for a supercomputer to decipher crypto encrypted keys.
For quantum computers, it would take about 2 hours to crack cryptographic keys.
This implies that quantum computers can be a threat to blockchain technology, although it's also seen that blockchain technology will merge with quantum computers to become the world's most secure network ever seen in the history of technology.
Read more about quantum computers here

Cellframe Platform > Have you ever thought of a correlation between energy consumption and languages in a Blockchain network? Yes, there is a significant impact on energy consumption based on the blockchain network’s programming languages. Energy-Efficient Programming Language
Back in 2017, a team of 6 Portugal researchers put a research paper titled “Energy Efficiency Across Programming Languages,” and what they found was interesting: there is a significant correlation between speed, energy consumption, and memory of various programming languages.
The outcome of the tests shows that C is the most efficient and advanced language for building an optimised protocol. That’s why have we used C as the programming language for Cellframe, while most layer one blockchain networks like Ethereum, Kadena and others use Solidity, Rust and other non-energy-efficient languages. We are going to discuss how Cellframe has developed a greener blockchain network.
C is the Greenest Programming Language.
C is a general-purpose programming language that comprises more than 4 million developers. C is a procedural oriented programming language, and its greatest strength is the ability to scale resource-intensive applications and make them run smoothly. C language is used mainly for its efficient CPU management and memory control, relative ease of multithreading, option to deep or shallow copying data effectively, enhanced performance and portability across all existing operation systems and platforms, code isolation for different data structures, and more. Cellframe is a service-oriented blockchain network with all these capabilities, and it is built very close to the hardware to provide efficiency on any machine — from supercomputers to smart fridges.Cellframe: Greener and Energy-Efficient Layer One Protocol
The blockchain ecosystem is shifting towards a cleaner, greener future by adopting efficient proof of stake mechanisms. However, by understanding the basics of blockchain technology, it is essential to assess its massive and transformational implications for society, the economy, and the environment because proof of stake demands significantly lower hardware power requirements than proof of work, the energy needed only to facilitate secure transactions. The crypto ecosystem is in the midst of a shift towards a cleaner, greener, more sustainable future that will significantly lower carbon emissions by adopting proof of work and efficient languages like C to develop the future proof architecture from the base like Cellframe network. As a future proof project, Cellframe is a more scalable, faster and more energy-efficient blockchain exploring PoS. Cellframe uses proof of stake that doesn’t involve any mining power, thereby building an environment-neutral ecosystem. This framework allows to develop dApps without compromising on security and scalability. Cellframe — C Code is a Procedural Language Cellframe uses C language to create an energy-efficient protocol. C is a procedure-oriented programming language used in Bitcoin. C language is preferred due to its capabilities like multi-threading, function overloading, and runtime polymorphism. In addition, our developers use the C language for memory control capabilities. In addition, it helps blockchain networks to handle parallel and non-parallel tasks quite effectively. Moreover, the C programming language is Faster and less power-intensive. Therefore, it is majorly considered for building dApps, Smart Contracts, and infrastructure in a Blockchain environment. We do not use new CPU instructions. More precisely, the compiler uses them, not ourselves. The performance is simply due to the low-level nature of the language, and in particular the fact that it is a non-OOP language. Reducing the amount of nesting of function calls, makes it easier to optimize the compiler, as well as allowing more efficient use of the processor’s cache. Cellframe algorithm aims to replicate a fair block generation process without spending valuable resources, computational power or electricity. C code is the fastest is fairly common knowledge among others.Highly Secure, Trustless and Greener blockchain Post-quantum encryption is a default function of Cellframe to effectively provide the highest security and efficiency. Cellframe is the only system that can protect a blockchain from terminal attack without user migration and implementation of a third-party code. Blockchain technology is not the future; it is the present. Cellframe presents with a genuinely eco-friendly decentralised technology while not compromising on security, and This will attract more users and developers to build Dapps and Blockchain games on Cellframe.