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.

A novel model developed by MIT and Microsoft researchers identifies instances in which autonomous systems have "learned" from training examples that don't match what's actually happening in the real world. Engineers could use this model to improve the safety of artificial intelligence systems, such as driverless vehicles and autonomous robots.

Governments across the world came together in Marrakesh this past December to ratify a pact to improve cooperation on international migration. Among other objectives, the Global Compact for Migration seeks to use "accurate and disaggregated data as a basis for evidence-based policies." How can machine learning technologies help with deeply polarizing societal issues like migration?

By recognising locusts through the smartphone's camera, the app will be able to identify the stage of the insect's growth and record its location through the phone's IP address. This information can then be accessed by the farmer so that they can use pesticides more accurately and to target the insects in the early stages of their lifespan, significantly reducing the amount of crop damage.

Robust, intelligent robots that react to their surroundings are being developed to work in situations that are too dangerous for humans, such as cleaning up Europe's decades-old radioactive waste or helping during a nuclear emergency.

IDTechEx is highly respected worldwide for its reports, relational databases, events and consultancy on the technology and markets for its chosen subjects. These include life sciences, energy storage, energy harvesting, electric vehicles, wearable technology and advanced materials. The emphasis is on using facts-based analysis to see the future and guide business decisions of our customers. They include the world's largest chemical, healthcare…

Down on the ground, it isn't possible to get a full understanding of the richness of resources in a given forest area or predict any potential risks to the health of plants and trees. Comprehensive, manual surveying and data collection of forested areas can take months, with considerable strain placed on budgets and manpower.

Digital transformation is happening across the industry and in every corner of the world. But what does success look like?

A research team has developed a computer algorithm that can analyze digital images of a woman's cervix and accurately identify precancerous changes that require medical attention. This artificial intelligence approach, called automated visual evaluation, has the potential to revolutionize cervical cancer screening, particularly in low-resource settings.

Fujitsu Limited, Fujitsu Laboratories Ltd and EXest Inc will conduct a field trial using artificial intelligence to discover unanticipated needs of travellers visiting Japan, propose tours or other activity plans, and verify the effectiveness of the new service's application.

A new study combines two forecasting methods with machine learning (artificial intelligence) to estimate local flu activity.