Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Ride-hailing has transformed from a convenience app into one of the most powerful forces reshaping urban mobility. Behind ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

DUBAI, 17th February, 2026 (WAM) -- The UAE’s Artificial Intelligence, Digital Economy, and Remote Work Applications Office, in collaboration with Samsung Gulf Electronics, celebrated the graduation ...

Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

Dubai, UAE, The UAE’s Artificial Intelligence, Digital Economy, and Remote Work Applications Office, in collaboration with Samsung Gulf Electronics, celebrated the graduation of 130 students from ...

When it comes to keeping businesses safe, investing in an effective Fire Watch Guards Service is crucial, but what happens ...

In his new book, “A World Appears,” Michael Pollan argues that artificial intelligence can do many things—it just can’t be a person.