First-Ever Supercomputer To Match The Human Brain’s 228 Trillion Operations P Sec

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First-Ever Supercomputer To Match The Human Brain’s 228 Trillion Operations Per Second



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1) binnenkort kan AI meid beter pijpen en neuken dan echt meid hhaha haha dat is ook het technologische doel ok, omdat al die nerds gewoon kontakt gestoorde BETA Freaks zijn en niet met een meisje kunnen seksen, omdat er geen reboot en offline buttons zijn.

2) Uiteindelijk krijgen de AI Bots de macht als het zo doorgaat, en de mensheid zal dommer worden, domme hersenloze slaafjes van AI Bots, AI Apps, AI kutjes.

3) 228 Trillion Operations Per Second is in het Nederlands,
228 * (10^12) operaties per seconde.
= 228.000 * (10^9) operaties per seconde
= 228.000 Miljard operaties per seconde
Ongelooflijk hoe snel onze hersenen kunnen werken in optimale toestand.

4) 228 Teraflops (TFLOPS) operaties per seconde, ziehier he ongelooflijk zeg:

TeraFLOPS. A 1 teraFLOPS (TFLOPS) computer system is capable of performing one trillion (10^12) floating-point operations per second. The rate 1 TFLOPS is equivalent to 1,000 GFLOPS. To match what a 1 TFLOPS computer system can do in just one second, you'd have to perform one calculation every second for 31,688.77 years ...5 mei 2023

5) De mensheid wordt nu duidelijk dommer en het IQ neemt af oa door de smartphone en door de opkomst van het (gewelddadige, intolerante) religieus extremisme wereldwijd bij alle soorten religieen en godsdiensten. Ook de zwarte Hindoe apen zijn behoorlijk geradicaliseerd nu in Nederland en Suriname en ZWART India.


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HomeQuantum Mechanics
First-Ever Supercomputer To Match The Human Brain’s 228 Trillion Operations Per Second
First-Ever Supercomputer To Match The Human Brain’s 228 Trillion Operations Per Second
Nikola February 19, 2024



HomeQuantum MechanicsFirst-Ever Supercomputer To Match The Human Brain’s 228 Trillion Operations Per Second
First-Ever Supercomputer To Match The Human Brain’s 228 Trillion Operations Per Second
Nikola February 19, 2024



The human brain is incredibly powerful for something we all carry around without giving it much consideration. Its capabilities are so remarkable that not even the most advanced computers can fully emulate them at this time. However, things might be about to change. DeepSouth, a powerful supercomputer developed by Western Sydney University, is the first to be able to simulate a whole human brain.


DeepSouth will be able to execute an astounding 228 trillion synaptic actions per second once it is operational. Thanks to its creative neuromorphic architecture, this is equivalent to the activity of all the numerous interconnected neurons in the brain.


The International Centre for Neuromorphic Systems (ICNS) at Western Sydney's Professor André van Schaik said in a statement that "our inability to simulate brain like networks at scale hampered progress in our understanding of how brains compute using neurons." It is simply too sluggish and energy-intensive to simulate spiking neural networks on conventional computers with Graphics Processing Units (GPUs) and multicore Central Processing Units (CPUs). That will alter with our system.


Scientists have had a difficult time imitating the brain's exceptional energy efficiency in a synthetic computer thus far. According to Domenico Vicinanza, an associate professor of intelligent systems and data science at Anglia Ruskin University, the Oak Ridge National Laboratory's Frontier supercomputer—which is widely regarded as the fastest computer in the world right now—needs 22.7 megawatts to operate. This information was provided to The Conversation.


In contrast, the human brain requires only 20 watts to function at the same pace as a billion-billion calculations per second, or exaflop.


Thus, DeepSouth will enable researchers to investigate computing in a less energy-intensive manner.


Additionally, the neuromorphic design is essentially different from that of conventional electronic computers, which hasn't altered much in many years. Computers have traditionally been distinguished by discrete memory and processor units; data is handled in one location and saved in another.


Even while there's probably still a lot we don't know about how the human brain processes memory, scientists are drawing inspiration from the computers inside our skulls when they create the devices of the future.


The neuromorphic circuitry of DeepSouth is built on networks of parallel-capable basic processors. It simulates the ability of various synaptically linked neurons in the brain to fire simultaneously. Researchers will be able to use the technology without needing to have a deep understanding of the hardware itself because it will be scalable and easily reprogrammable from the front end using the well-known Python programming language.


However, specifically what kinds of applications might we be discussing?


Professor van Schaik stated, "This platform will advance our understanding of the brain and develop brain-scale computing applications in diverse fields including sensing, biomedical, robotics, space, and large-scale AI applications." He went on to mention a number of potential applications, including more effective artificial intelligence (AI) platforms, smart devices, and agricultural sensors.


Ralph Etienne-Cummings of Johns Hopkins University, who is not directly involved in the DeepSouth project, spoke with New Scientist about how his research, which has focused on legged locomotion and mobile robotics for three decades, could benefit from the supercomputer. He also mentioned how his work has advanced neuroprostheses and brain-computer interfaces.


He declared, "This will be the hardware to do it on if you are trying to understand the brain."


Hopefully going up in April 2024, DeepSouth is named after two of the titans of the supercomputing world, IBM's Deep Blue and TrueNorth, as well as a reference to its location in Sydney, Australia. We'll have to wait and see what science can accomplish before supercomputers with the computational capacity of human brains are introduced.


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Astronomy
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Quantum Mechanics






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