The use of the new possibilities of machine learning is key here. Areas of interest include image resolution improvement, 3D ...

WiMi's image classification system based on deep learning and machine learning models has a wide range of practical application scenarios, and it has a wide range of application prospects in ...

Machine learning may help manage and organize enterprise systems -- with their "highly complex interactions between systems and components, complex data access patterns and relationships." ...

In 2014, there were zero papers on adversarial machine learning submitted to the preprint server Arxiv.org, while in 2020, around 1,100 papers on adversarial examples and attacks were.

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Deep learning, a subset of machine learning represents the next stage of development for AI. By using artificial neural networks that act very much like a human brain, machines can take data in ...

In machine learning, for example, a system requires large data sets. If the data sets are insufficient, a system can generate questionable results. Still, some chipmakers are now either exploring or ...

Researchers from machine learning lab OpenAI have discovered that their state-of-the-art computer vision system can be deceived by tools no more sophisticated than a pen and a pad.

Images of shopping and washing are linked to women, for example, while coaching and shooting are tied to men. Machine-learning software trained on the datasets didn’t just mirror those biases ...

Applications of artificial intelligence and machine learning in combination with surface-enhanced Raman spectroscopy (SERS), Chemometrics and Intelligent Laboratory Systems, 263, (105445), (2025 ...