Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 178

Humans naturally perceive their bodies and anticipate movement outcomes, a trait robotic experts aim to replicate in machines for enhanced adaptability and efficiency.

Now, researchers have developed an autonomous robotic arm capable of learning its physical form and movement by observing itself through a camera. This approach is akin to a robot learning to dance by watching its reflection.

Columbia Engineering researchers claim this technique enables robots to adapt to damage and acquire new skills autonomously.

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This is a collection of 68 philosophical sci-fi books recommended by you.

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After losing her family and freedom at the hands of the Imperial Network, Kathreen is sent to a brutal life of servitude, until a chance twist of fate grants her the identity of a powerful senator’s heiress. Determined to destroy the system that shattered her life, she vows to rise through their ranks—but to defeat them, she risks becoming a monster greater than any of them.

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Rodolfo Llinas tells the story of how he has developed bundles of nanowires thinner than spider webs that can be inserted into the blood vessels of human brains.

While these wires have so far only been tested in animals, they prove that direct communication with the deep recesses of the brain may not be so far off. To understand just how big of a breakthrough this is—US agents from the National Security Agency quickly showed up at the MIT laboratory when the wires were being developed.

What does this mean for the future? It might be possible to stimulate the senses directly — creating visual perceptions, auditory perceptions, movements, and feelings. Deep brain stimulation could create the ultimate virtual reality. Not to mention, direct communication between man and machine or human brain to human brain could become a real possibility.

Llinas poses compelling questions about the potentials and ethics of his technology.

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A notable aspect of the CL1 is its ability to learn and adapt to tasks. Previous research has demonstrated that neuron-based systems can be trained to perform basic functions, such as playing simple video games. Cortical Labs’ work suggests that integrating biological elements into computing could improve efficiency in tasks that traditional AI struggles with, such as pattern recognition and decision-making in unpredictable environments.

Cortical Labs says that the first CL1 computers will be available for shipment to customers in June, with each unit priced at approximately $35,000.

The use of human neurons in computing raises questions about the future of AI development. Biological computers like the CL1 could provide advantages over conventional AI models, particularly in terms of learning efficiency and energy consumption. The adaptability of neurons could lead to improvements in robotics, automation, and complex data analysis.

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In the Patagonia region of southern Chile, there are “living rocks.”

While that’s what the locals say, Veronica Godoy-Carter, associate professor of biology and biochemistry at Northeastern University, says it’s a little more complicated than that.

“They’re actually little mountains,” she says, of “giant biofilms that are billions of years old. Literally billions.”

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Scientists have developed a quantum computer that uses light to process data, paving the way for quantum computers that can operate in a networked environment at room temperature.

The new system, called Aurora, is the first photonic quantum computer in the world that can operate at scale using several modules interconnected through fiber optic cables. The system presents a solution to some of quantum computing’s biggest problems — namely operation at scale, fault tolerance and error correction, Xanadu representatives say.

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