Abstract: Aiming at the shortcomings of traditional convolutional neural network methods in capturing long-range spatial dependencies in fine-grained image recognition due to the restricted sensory ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine ...

Overview: The global Artificial Intelligence (AI) in drug discovery market is projected to grow at a rate of 25-30% over the ...

Abstract: In this work, we present a contribution on the applicability of the recursive least squares method used for the parametric identification of a corona discharge phenomenon at small distances.

One of the grand challenges of artificial intelligence is developing agents capable of conducting scientific research and discovering new knowledge. While frontier models have already been used to aid ...

The global economy as we know it is dying. Around the beginning of the 18th century, a “Great Divergence” began between ‘the ...

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...