Postdoctoral researcher Bo Zhao at Harvard University uses mathematical symmetry to decode neural network parameters, ...

Humans are usually remarkably good at recognizing objects, even under poor conditions. Artificial vision systems, by contrast ...

As artificial intelligence becomes more powerful, its ability to handle humanlike tasks is undeniable. Artificial neural ...

Researchers in Algeria have built an optimized neural network that predicts the analgesic activity of drug-like molecules ...

When humans write sentences or solve math problems, they are thinking symbolically—each number, variable or word is expressed ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...

The brains of humans and other primates are known to execute various sophisticated functions, one of which is the representation of the space immediately surrounding the body. This area, also ...

Researchers at the University of Edinburgh have developed an adiabatic capacitive neuron that recycles electrical charge to ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

Stephane is a tech enthusiast and AI advocate with a deep-seated passion for leveraging technology to solve real-world problems. With a background in Chemistry and hands-on experience in AI,... We ...

The 2024 Nobel Prize in Physics has been awarded to scientists John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural ...