A new physics-informed neural network embeds a structure's natural frequencies into its architecture, cutting seismic ...

A 500 W laboratory prototype of a dual-input converter with a modified deep neural network controller achieved a peak ...

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.

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

Goal self-hacking AI, a newly coined failure mode in AI safety research, was formally proven unavoidable in fixed-weight ...

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 ...

Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research I have used a phenomenon called “quantum tunnelling” to ...

Neural networks and cutting-edge algorithms bring precision to data analysis. Discover how they can boost your trading ...

Edge Treatment Series-- Adjusting brain function with magnetism and weak electrical currents. How far has global research ...

Boosting communication between the spinal nerves and the muscles using the spinal cord stimulation reverses spinal muscle atrophy (SMA) progression and could be applied to other motoneuron diseases, ...