Owen Hughes is a freelance writer and editor specializing in data and digital technologies. Previously a senior editor at ZDNET, Owen has been writing about tech for more than a decade, during which time he has covered everything from AI, cybersecurity and supercomputers to programming languages and public sector IT.
Scientists just developed a new AI modeled on the human brain — it's outperforming LLMs like ChatGPT at reasoning tasksMeta AI takes first step to superintelligence — and Zuckerberg will no longer release the most powerful systems to the publicScientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are madeOpenAI's ChatGPT agent can control your PC to do tasks on your behalf — but how does it work and what's the point?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.
Scientists just developed a new AI modeled on the human brain — it's outperforming LLMs like ChatGPT at reasoning tasks 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 bymimic 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 of activity. China develops new light-based chiplet that could power artificial general intelligence — where AI is smarter than humans 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.Get the world’s most fascinating discoveries delivered straight to your inbox.Receive email from us on behalf of our trusted partners or sponsorsarranged 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.— despite being powered by 960 Darwin III neuromorphic chips, each of which supports up to 2.35 million spiking neurons.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., 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 startupThe 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.Owen Hughes is a freelance writer and editor specializing in data and digital technologies. Previously a senior editor at ZDNET, Owen has been writing about tech for more than a decade, during which time he has covered everything from AI, cybersecurity and supercomputers to programming languages and public sector IT. Owen is particularly interested in the intersection of technology, life and work – in his previous roles at ZDNET and TechRepublic, he wrote extensively about business leadership, digital transformation and the evolving dynamics of remote work.China begins building AI supercomputer in space Scientists just developed a new AI modeled on the human brain — it's outperforming LLMs like ChatGPT at reasoning tasks New AI system can 'predict human behavior in any situation' with unprecedented degree of accuracy, scientists sayJapan launches its first homegrown quantum computer IBM and Moderna have simulated the longest mRNA pattern without AI — they used a quantum computer instead 'Like a master Tetris player': Scientists invent quantum virtual machines — they'll slash turnaround times from days to hoursScientists hit quantum computer error rate of 0.000015% — a world record achievement that could lead to smaller and faster machines Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are madeScientists unveil most detailed photo of a solar flare ever taken
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