How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...

Infomorphic neurons, developed by researchers, are designed to learn independently and self-organize within artificial neural ...

Examples like Intel's Loihi chips tend to get competitive performance out of far lower clock speeds and energy use, but they ...

Researchers have developed "infomorphic neurons" that learn independently, mimicking their biological counterparts more ...

Researchers have developed a new kind of artificial neuron—called infomorphic neurons—that can independently learn and self-organize with nearby neurons, mimicking the decentralized learning of ...

Both, human brain and modern artificial neural networks are extremely powerful. At the lowest level, the neurons work ...

Scientists are working on breaking the physical limits of what semiconductors can do, merging human brain neurons with ...

Artificial neurons modeled on biology learn independently, self-organizing and adapting based on information from their local ...

Concepts encoded by concept neurons can be an animal, an article of clothing, a place, or a person. The concept can be evoked ...

A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role in the AI ecosytem due to its ability to analyze and understand visual data. The need to decipher ...

A new platform uses machine learning to identify and map social interactions, unlocking new ways to study behavioral ...