Despite the continued assurances of pioneers like Elon Musk, the idea of a biological brain interfacing with a computer still sounds like science fiction. But scientists in the U.K., Switzerland, Germany, and Italy are here to remind you that it really isn’t. In a recent experiment, the researchers fired up a working neural network that let biological and silicon-based artificial brain cells communicate with one another over an internet connection.
At present, it’s still early stages for the project. The experiment involved cultivating rat neurons in a laboratory that were used to signal to nanoelectronic synapses, called memristors, built by the University of Southampton. The spiking biological neurons in Italy were then transmitted to artificial neurons located in Zurich. The reverse communication was also carried out. The result was a simple demonstration showing that artificial and biological neurons can be made to communicate bidirectionally and in real time.
“For the first time ever, we have demonstrated that artificial neurons on a chip can be connected to brain neurons and communicate by speaking the same ‘spikes’ language,” Stefano Vassanelli, a professor in the department of biomedical sciences at the University of Padova in Italy. “Artificial and brain neurons were connected through nanoscale memristors that were capable [of emulating] basic functions of real synapses, those natural connections between neurons that are responsible for signal transmission between neurons that take over most of the processing in the brain.”
The “hybrid brain” Vassanelli describes sounds like it would be most useful for a kind of neural implant that would allow the brain’s neural networks and A.I. neural nets to understand one another. But he said that there is another application he has in mind.
“In the long term, the idea is to use artificial networks of spiking neurons to restore function in focal brain diseases, such as Parkinson’s, stroke or epilepsy,” Vassanelli said. “Once embedded in brain implants, silicon spiking neurons will act as a sort of neuroprosthesis where artificial neurons will adaptively stimulate dysfunctional native neurons facilitating recovery or even rescuing functional losses.”
The team is currently working on a European Union-funded project in which the technology is demonstrated in a living animal, along with showcasing a brain-inspired neuroprosthesis prototype.
A paper describing the research, titled “Memristive synapses connect brain and silicon spiking neurons,” was recently published in the journal Scientific Reports.
AI companies spend enormous amounts of time convincing us their technology is safe and secure. But what happens when those same companies become targets of increasingly sophisticated AI-powered attacks? Anthropic, the company behind Claude, is now facing that question. According to a Washington Post report, cybersecurity startup Cathedral discovered vulnerabilities that let its researchers access sensitive information in Anthropic's internal systems.
The researchers used AI agents to identify potential entry points in less than 12 hours. Interestingly, they didn't need to crack Claude itself. Instead, they exploited weaknesses in third-party business applications that Anthropic uses for everyday operations. Anthropic's security testing program disclosed the findings, which allows outside researchers to identify and report vulnerabilities.
Military working dogs charge into places the rest of us would flee. So, I understand why anyone would want to breed tougher, healthier dogs for the job.
Warhound, a new startup from Colossal Biosciences co-founder Ben Lamm and Anduril co-founder Palmer Luckey, has stepped out of stealth with $200 million to clone and gene-edit working dogs for American troops, police departments, and emergency services (via TechCrunch).
AI can describe a picture, identify objects, and answer questions about what a camera sees. But when a blind user needs a quick answer, getting an entire spoken essay about the scene isn't exactly helpful. Researchers at the University of Maryland (UMD) have found that AI-powered visual assistance can leave blind users doing too much work to get the information they actually need.
The study, titled Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users, examined how people interact with Be My AI, an AI-powered feature of the Be My Eyes app. The researchers found that users often received lengthy descriptions that didn't adequately address their immediate goals, forcing them to ask follow-up questions or find ways to steer the AI towards a more useful answer.