Social media has recently been flooded with images that looked like they belonged in a Studio Ghibli film. Selfies, family photos and even memes have been re-imagined with the soft pastel palette characteristic of the Japanese animation company founded by Hayao Miyazaki.

Companies developing AI models, such as OpenAI and Meta, train their systems on enormous datasets. These consist of text from newspapers, books (often sourced from unauthorized repositories), academic publications and various internet sources. The material includes works that are copyrighted.

Artificial intelligence powerhouse OpenAI, the creator of ChatGPT, on Monday announced it is building a more open generative AI model as it faces growing competition in the open-source space from Chinese rival DeepSeek and Meta.

OpenAI on Monday said it raised $40 billion in a new funding round that valued the ChatGPT maker at $300 billion, the biggest capital-raising session ever for a startup.

One attack, many responses—organizations use various solutions to ward off online attacks. The playbooks that outline countermeasures also vary in their specifics. In the CyberGuard project, Fraunhofer researchers are working on standardized playbooks to help companies optimize their security strategies and align them with each other. The playbooks are generated by large language models and support the automation of IT security.

Researchers have developed "infomorphic neurons" that learn independently, mimicking their biological counterparts more accurately than previous artificial neurons. A team of researchers from the Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN) at the University of Göttingen and the Max Planck Institute for Dynamics and Self-Organization (MPI-DS) has programmed these infomorphic neurons and constructed artificial neural networks from them.

Over the past year, AI researchers have found that when AI chatbots such as ChatGPT find themselves unable to answer questions that satisfy users' requests, they tend to offer false answers. In a new study, as part of a program aimed at stopping chatbots from lying or making up answers, a research team added Chain of Thought (CoT) windows. These force the chatbot to explain its reasoning as it carries out each step on its path to finding a final answer to a query.

Has Apple, the biggest company in the world, bungled its generative artificial intelligence strategy?

In the digital age, the recovery of deleted data is a key challenge in digital forensics. With the constant increase in data volumes and storage methods, conventional methods are reaching their limits. This is where the Carve-DL research project comes in: an AI-based solution that can recover files that are difficult to reconstruct by the use of learning algorithms to sustainably improve the efficiency and accuracy of digital data reconstruction.

AI is changing the way we work, create, and share information—but brownies? A new study from the University of Illinois Urbana-Champaign explores how ChatGPT can be used in the sensory evaluation of foods, specifically brownies. The study, published in the journal Foods, offers insights that could streamline development of new products, and possibly enhance recipes moving forward.

Anyone who develops an AI solution sometimes goes on a journey into the unknown. At least at the beginning, researchers and designers do not always know whether their algorithms and AI models will work as expected or whether the AI will ultimately make mistakes.

Researchers from the National University of Singapore (NUS) have demonstrated that a single, standard silicon transistor, the fundamental building block of microchips used in computers, smartphones and almost every electronic system, can function like a biological neuron and synapse when operated in a specific, unconventional way.

Recent work in 6D object pose estimation holds significant promise for advancing robotics, augmented reality (AR), virtual reality (VR), as well as autonomous navigation. The research, published in the International Journal of Computational Science and Engineering, introduces a method that enhances the accuracy, generalization, and efficiency of determining an object's rotation and translation from a single image. This could significantly improve robots' ability to interact with objects, especially in dynamic or obstructed environments.

A research collaboration between Shanghai Jiao Tong University, Shanghai Qi Zhi Institution, and Huawei Technologies has introduced BAFT, a cutting-edge autosave system for AI training that minimizes downtime and optimizes efficiency.

Aging and illness in humans are accompanied by decline in motor and cognitive functions, causing difficulties in daily life and communication and often leading to anxiety and depression. Human-collaborative robots that can interpret the intentions of humans promise to mitigate these issues and enhance independence.

A new study by Prof. Guy Hochman and Adi Frenkenberg from the Baruch Ivcher School of Psychology at Reichman University presents new findings on the relationship between anxiety, motivation, and dependence on artificial intelligence, exploring how AI usage affects us emotionally.

Fans of Studio Ghibli, the famed Japanese animation studio behind "Spirited Away" and other beloved movies, were delighted this week when a new version of ChatGPT let them transform popular internet memes or personal photos into the distinct style of Ghibli founder Hayao Miyazaki.

A new AI-powered framework has been developed, offering new capabilities for the real-time analysis of two hands engaged in manipulating an object.

When the Francis Scott Key Bridge in Baltimore, Maryland, collapsed on March 26, 2024, engineers and city managers around the U.S. and world scrambled to assess the safety of infrastructure in their communities. Michigan State University researchers have developed a "deploy-and-forget" system that combines sensors with artificial intelligence, or AI, to assess the health of infrastructure like bridges, roads and dams, before and after events that could damage them.

"Stop Hiring Humans" read a provocative sign at an AI conference in Las Vegas, where the impact of new artificial intelligence models on the world of work had sparked some unease.

Hype is growing from leaders of major AI companies that "strong" computer intelligence will imminently outstrip humans, but many researchers in the field see the claims as marketing spin.

In an era where data privacy concerns loom large, a new approach in artificial intelligence (AI) could reshape how sensitive information is processed.

In the age of generative artificial intelligence (GenAI), the phrase "I'll believe it when I see it" no longer stands. Not only is GenAI able to generate manipulated representations of people, but it can also be used to generate entirely fictitious people and scenarios.

Researchers from the Skoltech AI Center, together with colleagues from the Institute for Information Transmission Problems of the Russian Academy of Sciences, have developed a method that allows neural networks to more accurately assess their "confidence" in forecasts.

Every day, users ask search engines millions of questions. The information we receive can shape our opinions and behavior.

Artificial Intelligence (AI) can perform complex calculations and analyze data faster than any human, but to do so requires enormous amounts of energy. The human brain is also an incredibly powerful computer, yet it consumes very little energy.

Large Language Models (LLMs) have rapidly become an integral part of our digital landscape, powering everything from chatbots to code generators. However, as these AI systems increasingly rely on proprietary, cloud-hosted models, concerns over user privacy and data security have escalated. How can we harness the power of AI without exposing sensitive data?

Artificial intelligence has been around for longer than you may think.

Spain's leftist government unveiled a draft bill Tuesday that would criminalize the use of artificial intelligence to generate sexually explicit video images of a person's face or body without their consent.

AI-powered camera technology developed by Australian Catholic University will enable cars to react faster than an Olympic sprinter, see in 3D, and make autonomous driving safer and more affordable.