Adult, or pornographic, content spam is a growing problem on social media. New research in the International Journal of Business Intelligence and Data Mining discusses how such content might be quickly detected and removed in a timely manner.
Barbara Ribeiro, Robert Meckin, Andrew Balmer and Philip Shapira have published a new paper in Research Policy on the digitalization paradox of everyday scientific labor.
A new system capable of reading lips with remarkable accuracy even when speakers are wearing face masks could help create a new generation of hearing aids.
Training a machine-learning model to effectively perform a task, such as image classification, involves showing the model thousands, millions, or even billions of example images. Gathering such enormous datasets can be especially challenging when privacy is a concern, such as with medical images.
Videos of humanoid robots dancing and performing backflips in the lab notwithstanding, robots that wash your dishes and fold your laundry are still years away. A roboticist explains why.
Sisense defines infusion as the practice of incorporating data and insights into end-user business applications. “Infusion is all about putting decision-supporting insights into a product in a way that feels native. It’s accessible. And it’s far more interesting,” Scott Castle SVP of Product at Sisense says.
Xbox Game Studios head Matt Booty told a live audience at PAX that he’d like to see QA (Quality Assurance) testers replaced by AI.
Artificial intelligence could help clinicians assess which patients are likely to encounter the harmful side effects of some commonly used antidepressants, antihistamines and bladder medicines.
So many languages; and yet English is allowed almost total domination when it comes to the AI technology Machine Learning (ML). If, for example, researchers are training a computer in grasping the content of a random text, the training samples will typically be in English.
Difficulty is a tough aspect to balance in video games. Some people prefer video games that present a challenge whereas others enjoy an easy experience. To make this process easier, most developers use dynamic difficulty adjustment (DDA). The idea of DDA is to adjust the difficulty of a game in real time according to player performance.
Young people are increasingly at ease consuming culture via digital avatars or made with artificial intelligence. Should the same moral guidelines and laws apply to those works?
Abrahamic texts treat slithering as a special indignity visited on the wicked serpent, but evolution may draw a more continuous line through the motion of swimming microbes, wriggling worms, skittering spiders and walking horses. A new study found that all of these kinds of motion are well represented by a single mathematical model.
The sense of smell is one of the basic senses of animal species. It is critical to finding food, realizing attraction, and sensing danger. Humans detect smells, or odorants, with olfactory receptors expressed in olfactory nerve cells. These olfactory impressions of odorants on nerve cells are associated with their molecular features and physicochemical properties.
Los científicos utilizan el aprendizaje automático para escuchar a las ratas topo desnudas, a los murciélagos de la fruta, a los cuervos y a las ballenas, y para comunicarse con ellos.
Artificial intelligence (AI) can be trained to recognize whether a tissue image contains a tumor. However, exactly how it makes its decision has remained a mystery until now. A team from the Research Center for Protein Diagnostics (PRODI) at Ruhr-Universität Bochum is developing a new approach that will render an AI's decision transparent and thus trustworthy.
Using X-rays, artificial intelligence and 3D printing, two UCL researchers reproduced a "lost" work of art by renowned Dutch painter Vincent Van Gogh, 135 years after he painted over it.
Popular voice assistants like Siri and Amazon Alexa have introduced automatic speech recognition (ASR) to the wider public. Though decades in the making, ASR models struggle with consistency and reliability, especially in noisy environments. Chinese researchers developed a framework that effectively improves the performance of ASR for the chaos of everyday acoustic environments.