Latest news with #BrettKagan
Yahoo
09-03-2025
- Science
- Yahoo
The world's first 'body in a box' biological computer costs $35,000 and looks both cool as hell plus creepy as heck
When you buy through links on our articles, Future and its syndication partners may earn a commission. Here's one for you: when is a 'body in a box' not as macabre as it sounds? Simple—when it's a tech startup. Wait! Put the turn-of-the-millennium trench coat and sunglasses combo down! Let me explain. The CL1 is described as "the world's first code deployable biological computer" according to the splashy website, incorporating human brain cells in order to send and receive electrical signals (via The Independent). These cells hang out on the surface of the computer's silicon chip, and the machine's Biological Intelligence Operating System (or biOS for short—cute), allows users to wrangle the neurons for a variety of computing tasks. Organic hardware like this for research purposes isn't new—for just one example, FinalSpark's Neuroplatform began offering rentable 'minibrains' last year. The neurons central to the CL1 are lab-grown, cultivated inside a nutrient rich solution and then kept alive thanks to a tightly temperature controlled environment working alongside an internal life support system. Under favourable conditions, the cells can survive for up to six months. Hence, the project's chief scientific officer Brett Kagan pitching it "like a body in a box." Should you be so inclined to pick up your own surprisingly fleshy, short-lived computer, you can do so from June…for $35,000. Now, I know what you're thinking—not because you're actually living life in a Matrix-style pod, but purely because I'm asking the same question: Why? First, a smidge more background on this brain box, which is the latest project from Cortical Labs, and was unveiled this week at Mobile World Congress in Barcelona. We've covered this Melbourne-based company before, with highlights including that time their team coaxed brain cells in a petri dish to learn Pong faster than AI. That lattermost experiment is the CL1's great grandparent, with continued scientific interest fostered by the hope that 'wetware' like lab-grown brain cells could give robotics and AI a serious leg-up. Whereas traditional AI can play something like the theatre kid favourite of 'yes, and' but totally lacks any true understanding of context, the lab-grown neurons could potentially learn and adapt. Furthermore, the lab-grown cells are apparently much more energy efficient compared to the power demands of AI using more traditional, non-biological computers. Turns out the old noggin cells are still showing that new-fangled silicon a trick or two. Who would have thought? However, there's no avoiding the question of ethics: what are these brain cells experiencing, and is it anything like sentience—or suffering? Perhaps my questions verge on the hyperbolic, but my own osseous brain box can do nothing but wonder. Best gaming PC: The top pre-built gaming laptop: Great devices for mobile gaming.
Yahoo
09-03-2025
- Science
- Yahoo
Weird New Computer Runs AI on Captive Human Brain Cells
Australian startup Cortical Labs has launched what it's calling the "world's first code deployable biological computer." The shoe box-sized device, dubbed CL1, is a notable departure from a conventional computer, and uses human brain cells to run fluid neural networks. In 2022, Cortical Labs made a big splash after teaching human brain cells in a petri dish how to play the video game "Pong." The CL1, however, is a fundamentally different approach, as New Atlas reports. It makes use of hundreds of thousands of tiny neurons, roughly the size of an ant brain each, which are cultivated inside a "nutrient rich solution" and spread out across a silicon chip, according to the company's website. Through a combination of "hard silicon and soft tissue," the company claims that owners can "deploy code directly to the real neurons" to "solve today's most difficult challenges." "A simple way to describe it would be like a body in a box, but it has filtration for waves, it has where the media is stored, it has pumps to keep everything circulating, gas mixing, and of course temperature control," Cortical Labs chief science officer Brett Kagan told New Atlas late last year. Whether it will actually prove useful remains to be seen, but Kagan is excited for scientists to get their hands on the tech. "There's so many different options," he told Australian broadcaster ABC News, suggesting it could be used for "disease modelling, or drug testing." "The large majority of drugs for neurological and psychiatric diseases that enter clinical trial testing fail, because there's so much more nuance when it comes to the brain — but you can actually see that nuance when you test with these tools," Kagan told New Atlas. "Our hope is that we're able to replace significant areas of animal testing with this." For now, the company is selling the device as a way to train "biological AI," meaning neural networks that rely on actual neurons. In other words, the neurons can be "taught" via the silicon chip. "The only thing that has 'generalized intelligence'... are biological brains," Kagan told ABC. "What humans, mice, cats and birds can do [that AI can't] is infer from very small amounts of data and then make complex decisions." But the CL1 isn't about to disrupt the entire AI field overnight. "We're not here to try and replace the things that the current AI methods do well," Kagan added. Nonetheless, the approach could have some key advantages. For instance, the neurons only use a few watts of power, compared to infamously power-hungry AI chips that require orders of magnitude more than that. Apart from selling the CL1, Cortical Labs is also looking to sell compute via the cloud, using its own assembled racks of the unusual computers. In short, while it sounds like an exciting new take on conventional computers, Cortical Labs still has a lot to prove, especially when it comes to teaching neurons not unlike an AI. "I know where it's coming from, because it is clear that these human neuronal networks learn remarkably fast," University of Queensland biologist and stem cell research specialist Ernst Wolvetang told ABC. "At this stage I would like to reserve my judgement, because, learning Pong is one thing, but making complex decisions is another," he added. More on Cortical Labs: Researchers Teach Human Brain Cells in a Dish to Play "Pong"
