Artificial Intelligence

A team of scientists has developed a machine-learning approach that could lead to quicker identification of the animal source of certain Salmonella outbreaks.

Facial recognition technology, being trialled by two major police forces in Britain, should be subjected to more rigorous testing and transparency, according to new research.

Countless historical coins that differ from each other only in details are in storage at German state museums. Unlike paintings, these archaeological artifacts may not be labeled, marked or barcoded. Researchers have developed a scanner and analysis software in collaboration which digitally capture the visual features of coins and describe them exactly in a matter of seconds.

Researchers are putting the machine-learning systems known as neural networks under the microscope. In a study that sheds light on how these systems manage to translate text from one language to another, the researchers developed a method that pinpoints individual nodes, or "neurons," in the networks that capture specific linguistic features.

Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.

The IDTechEx Show! on April 10-11 in Berlin brings together eight key disruptive technologies and their customers at one venue.

A beekeeper teamed up with researchers to develop an app that counts the number of Varroa mites in beehives. This parasite is one of the two main threats - along with pesticides - to bees' long-term survival. Knowing the extent of the mites' infestation will allow beekeepers to protect their bees more effectively.

Robots that are self-aware have been science fiction fodder for decades, and now we may finally be getting closer. Humans are unique in being able to imagine themselves—to picture themselves in future scenarios. Humans can also learn by revisiting past experiences and reflecting on what went right or wrong. While humans and animals acquire and adapt their self-image over their lifetime, most robots still learn using human-provided…

We've learned in recent years that AI systems can be unfair, which is dangerous when they're increasingly being used to do everything from predict crime to determine what news we consume. Last year's study showing the racism of face-recognition algorithms demonstrated a fundamental truth about AI: if you train with biased data, you'll get biased results.

New research has found that a novel Artificial Intelligence system can dramatically reduce the time needed to ensure that abnormal chest X-rays with critical findings will receive an expert radiologist opinion sooner, cutting the average delay from 11 days to less than 3 days.