A proposal seeks to create a comprehensive database of biological data to make available to American researchers with the goal of centralizing critical information to accelerate the U.S. biotechnology ...
There’s little the brain cannot do. Even when it functions outside the body. In 2022, around 8 lakh brain cells, derived from humans and mice, learnt to play the 1970s video game Pong. Grown on a ...
Scientists have found that mushrooms can act as organic memory devices, mimicking neural activity while consuming minimal power. The Ohio State team grew and trained shiitake fungi to perform like ...
Data centers today are large energy hogs that need a cornucopia of CPUs and GPUs to function. An Australia startup, however, is building a new kind of data center, one that will rely on living human ...
In an era where AI systems are rapidly scaling beyond the limits of traditional silicon, new experimental companies are beginning to question what "compute" itself should look like. One of the most ...
The Australian biotech company Cortical Labs recently posted a video in which 200,000 living human neurons grown on a silicon chip played the 1993 first-person shooter Doom. The neuron-controlled main ...
Scientists have trained a computer made from living human neurons to play the classic video game Doom, marking a strange but important step forward in biological computing. Researchers at Australian ...
Data centres use huge amounts of energy and chips are in high demand – could brain cells be the answer? Australia-based start-up Cortical Labs has announced it is building two “biological” data ...
The internet is in awe of the astonishing video of brain cells in a petri dish playing Doom. Cortical Labs, an Australian biotech firm, has revealed in a YouTube video that they’ve made a significant ...
First look: Australian biotech startup Cortical Labs has crossed another boundary in biological computing. Its latest hardware platform, the CL1, uses living human neurons as the core of a fully ...
Silicon-based artificial intelligence has come a very long way in a very short space of time, driving massive advances in the large language models that sit at the heart of today’s generative AI ...
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