At Brown University, an innovative new project is revealing that teaching artificial intelligence to perceive things more like people may begin with something as simple as a game. The project invites participants to play an online game called Click Me, which helps AI models learn how people see and interpret images. While the game is fun and accessible, its purpose is more ambitious: to understand the root causes of AI errors and to systematically improve how AI systems represent the visual world.

Electronics and Telecommunications Research Institute (ETRI) has developed hyper-realistic AI technology that can create an avatar that speaks naturally like a real person using only a single portrait photo.

A fascinating recent development enabling musicians to improvise live music with AI-generated sound could be the biggest innovation since the advent of sampling, or perhaps even the invention of recorded sound, according to a music researcher at York.

A research team at POSTECH (Pohang University of Science and Technology, South Korea) has developed AI technology that helps individuals deeply understand others' emotions by analyzing individual personality traits and values and generating personalized analogy.

Researchers have validated a technique for studying how people make "moral" decisions when driving, with the goal of using the resulting data to train the artificial intelligence used in autonomous vehicles. These moral psychology experiments were tested using the most critical audience researchers could think of: philosophers.

Recent advances in the field of robotics have enabled the automation of various real-world tasks, ranging from the manufacturing or packaging of goods in many industry settings to the precise execution of minimally invasive surgical procedures. Robots could also be helpful for inspecting infrastructure and environments that are hazardous or difficult for humans to access, such as tunnels, dams, pipelines, railways and power plants.

Generative artificial intelligence (GenAI) is making its way into courts despite early stumbles, raising questions about how it will influence the legal system and justice itself.

No matter which questions we ask an AI, the model will come up with an answer. To produce this information—regardless of whether the answer is correct or not—the model uses tokens. Tokens are words or parts of words that are converted into a string of numbers that can be processed by the LLM.

A new study appearing in PLOS One by a psycholinguist at the University of Kansas explores how ChatGPT, the popular artificial-intelligence chatbot, responded to nonwords.

The cement industry produces about 8% of global CO₂ emissions—more than the entire aviation sector worldwide. Researchers at the Paul Scherrer Institute PSI have developed an AI-based model that helps to accelerate the discovery of new cement formulations that could yield the same material quality with a better carbon footprint.

QUT robotics researchers have developed a new robot navigation system that mimics the neural processes of the human brain and uses less than 10% of the energy required by traditional systems.

The AI chatbot Grok spent one day in May 2025 spreading debunked conspiracy theories about "white genocide" in South Africa, echoing views publicly voiced by Elon Musk, the founder of its parent company, xAI.

In the coming years, artificial intelligence (AI) technologies will doubtlessly proliferate, seeping into most corners of U.S. society and transforming economies around the globe. But don't expect AI to confer a competitive advantage, at least over the long haul, according to a new paper co-authored by University of Utah business scholar Jay Barney.

The loss of a limb following an injury, accident or disease can greatly reduce quality of life, making it harder for people to engage in daily activities. Yet recent technological advances have opened new exciting possibilities for the development of more comfortable, smarter and intuitive prosthetic limbs, which could allow users to easily complete a wider range of tasks.

Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document or conversation, while neglecting the middle.

Christopher Pelkey was shot and killed in a road range incident in 2021. On May 8, 2025, at the sentencing hearing for his killer, an AI video reconstruction of Pelkey delivered a victim impact statement. The trial judge reported being deeply moved by this performance and issued the maximum sentence for manslaughter.

The promise of a new type of computer chip that could reshape the future of artificial intelligence and be more environmentally friendly is explored in a technology review paper published by UC Riverside engineers in the journal Device.

Robots could be the solution to filling the shortage of welders in the U.K., thanks to existing human expertise, a new study from the University of Nottingham has revealed.

One company offers Bay Area employers artificial intelligence that filters potential hires by combing through 10,000 public online sources looking for references to violence or illegal drugs. Another uses the technology to scan workers' office emails for signs of dissatisfaction or burnout. Others offer AI analysis of workers' every online action in the workplace.

The US Department of Defense on Monday awarded OpenAI a $200 million contract to put generative artificial intelligence (AI) to work for the military.

Today's generative artificial intelligence models can create everything from images to computer applications, but the quality of their output depends largely on the prompt a human user provides.

How do you intuitively know that you can walk on a footpath and swim in a lake? Researchers from the University of Amsterdam have discovered unique brain activations that reflect how we can move our bodies through an environment.

The autonomous nature and adaptability of artificial intelligence (AI)-powered pricing algorithms make them attractive for optimizing pricing strategies in dynamic market environments. However, certain pricing algorithms may learn to engage in tacit collusion in competitive scenarios, resulting in overly competitive prices and potentially harmful consequences for consumer welfare. This has prompted policymakers and scholars to emphasize the importance of designing rules to promote competitive behavior in marketplaces.

If you've worried that AI might take your job, deprive you of your livelihood, or maybe even replace your role in society, it probably feels good to see the latest AI tools fail spectacularly. If AI recommends glue as a pizza topping, then you're safe for another day.

A new, densely annotated 3D-text dataset called 3D-GRAND can help train embodied AI, like household robots, to connect language to 3D spaces. The study, led by University of Michigan researchers, was presented at the Computer Vision and Pattern Recognition (CVPR) Conference in Nashville, Tennessee on June 15, and published on the arXiv preprint server.

ChatGPT-maker OpenAI has enlisted the legendary designer behind the iPhone to create an irresistible gadget for using generative artificial intelligence (AI).

People turn to the internet to run billions of search queries each year. These range from keeping tabs on world events and celebrities to learning new words and getting DIY help.

Over the past decades, computer scientists have introduced increasingly sophisticated machine learning-based models, which can perform remarkably well on various tasks. These include multimodal large language models (MLLMs), systems that can process and generate different types of data, predominantly texts, images and videos.

The first study to use artificial intelligence (AI) technology to generate podcasts about research published in scientific papers has shown the results were so good that half of the papers' authors thought the podcasters were human.

A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a decision was made is just as important as the decision itself, like medical diagnostics.