A team of astronomers based at the European Space Agency demonstrated how artificial intelligence technology will alter ...

Artificial intelligence has just turned one of astronomy’s most familiar workhorses into a discovery engine all over again.

The model’s release comes five years after DeepMind introduced its seminal AlphaFold neural network. The latter algorithm can ...

AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows us to recognize when we see ourselves reflected there.

Tesla Full Self-Driving leverages cameras, neural networks, and real-world testing to navigate traffic safely, advancing ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...

It shows the schematic of the physics-informed neural network algorithm for pricing European options under the Heston model. The market price of risk is taken to be λ=0. Automatic differentiation is ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

When Fei-Fei Li arrived in Princeton in January 2007 as an assistant professor, she was assigned an office on the second floor of the computer science building. Her neighbor was Christiane Fellbaum.