Lifeboat Foundation

The development of neuromorphic electronics depends on the effective mimic of neurons. But artificial neurons aren’t capable of operating in biological environments. Organic artificial neurons that work based on conventional circuit oscillators have been created, which require many elements for their implementation. An organic artificial neuron based on a compact nonlinear electrochemical element has been reported. This artificial neuron is sensitive to the concentration of biological species in its surroundings and can also operate in a liquid. The system offers in-situ operation, spiking behavior, and ion specificity in biologically relevant conditions, including normal physiological and pathological concentration ranges. While variations in ionic and biomolecular concentrations regulate the neuronal excitability, small-amplitude oscillations and noise in the electrolytic medium alter the dynamics of the neuron. A biohybrid interface is created in which an artificial neuron functions synergistically with biological membranes and epithelial cells in real-time.

Neurons are the basic units of the nervous system that are used to transmit and process electrochemical signals. They operate in a liquid electrolytic medium and communicate via gaps between the axon of presynaptic neurons and the dendrite of postsynaptic neurons. For effective brain-inspired computing, neuromorphic computing leverages hardware-based solutions that imitate the behavior of synapses and neurons. Neuron like dynamics can be established with conventional microelectronics by using oscillatory circuit topologies to mimic neuronal behaviors. However, these approaches can mimic only specific aspects of neuronal behavior by integrating many transistors and passive electronic components, resulting in a bulky biomemtic circuit unsuitable for direct in situ biointerfacing. Volatile and nonlinear devices based on spin torque oscillators or memristor can increase the integration density and emulate neuronal dynamics.

A new artificial intelligence tool called GPT-3 has recently been created, and it’s able to perform some tasks better than humans can. That’s because GPT-3 isn’t taught or trained by…

But for two years OpenAI has been super shy about GPT-4—letting out info in dribs and drabs and remaining silent for the most part.

Not anymore.

People have been talking these months. What I’ve heard from several sources: GPT-4 is almost ready and will be released (hopefully) sometime December-February.

Many AIs can only become good at one task, forgetting everything they know if they learn another. A form of artificial sleep could help stop this from happening.

Combinatorial problems often arise in puzzles, origami, and metamaterial design. Such problems have rare collections of solutions that generate intricate and distinct boundaries in configuration space. Using standard statistical and numerical techniques, capturing these boundaries is often quite challenging. Is it possible to flatten a 3D origami piece without causing damage? This question is one such combinatorial issue. As each fold needs to be consistent with flattening, such results are difficult to predict simply by glancing at the design. To answer such questions, the UvA Institute of Physics and the research center AMOLF have shown that researchers may more effectively and precisely respond to such queries by using machine learning techniques.

Despite employing severely undersampled training sets, Convolutional Neural Networks (CNNs) can learn to distinguish these boundaries for metamaterials in minute detail. This raises the possibility of complex material design by indicating that the network infers the underlying combinatorial rules from the sparse training set. The research team thinks this will facilitate the development of sophisticated, functional metamaterials with artificial intelligence. The team’s recent study examined the accuracy of forecasting the characteristics of these combinatorial mechanical metamaterials using artificial intelligence. Their work has also been published in the Physical Review Letters publication.

The attributes of artificial materials, which are engineered materials, are governed by their geometrical structure rather than their chemical makeup. Origami is one such metamaterial. The capacity of an origami piece to flatten is governed by how it is folded, i.e., its structure, and not by the sort of paper it is made of. More generally, the clever design enables us to accurately regulate a metamaterial’s bending, buckling, or bulging. This can be used for many different things, from satellite solar panels that unfurl to shock absorbers.

Scientists have managed to do what many might have thought impossible. According to new research published in the journal Nature, a group of researchers from the Swiss research group NeuroRestore was able to identify neurons that could restore the ability to walk in paralyzed individuals. The researchers published their findings back in September.

On the morning of November 10, an Atlas V rocket launched JPSS-2, NOAA’s newest environmental satellite into orbit. Hitching a ride on the rocket was NASA

Established in 1958, the National Aeronautics and Space Administration (NASA) is an independent agency of the United States Federal Government that succeeded the National Advisory Committee for Aeronautics (NACA). It is responsible for the civilian space program, as well as aeronautics and aerospace research. Its vision is “To discover and expand knowledge for the benefit of humanity.” Its core values are “safety, integrity, teamwork, excellence, and inclusion.”

Hackers occasionally employ such methods to avoid having their riches taken.

Ghosting of $662 million in tokens from Sam Bankman-Fried’s bankrupt digital asset exchange FTX in just 24 hours has crippled the already drowning cryptocurrency sector.

The most recent development in one of the darkest times for the cryptocurrency sector, Bloomberg reported on Saturday.

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Kardashev-2 Civilizations are hypothetical empires which encompass entire stars, with access to billions of times the energy Earth has, often seen as builders of megastructures like Dyson Spheres. But could civilizations with only the technology we have become Kardashev-2?

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