News on Artificial Intelligence and Machine Learning The latest news on Artificial Intelligence and Machine Learning

• Making AI-generated code more accurate in any language

  Programmers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes programmers' lives easier if that code follows the rules of the programming language and doesn't cause a computer to crash.

• (Almost) like us: Characterizing creativity in artificial intelligence

  Creativity is no longer exclusive to humans. Some forms of artificial intelligence are capable of producing poetry, entrepreneurial concepts, even visual art. Many people use large language models (LLMs) such as ChatGPT, which are trained on vast amounts of text, for co-creation: The artificial intelligence offers ideas and suggestions, while the human provides guidance, context, and direction.

• Television wasn't the death knell for cinema, and that holds lessons for the creative industries and AI

  As television grew rapidly in popularity in the second half of the 20th century, many people assumed it would cause a knock-on crisis for the film industry. After all, it meant that viewers no longer had to leave their sofas to enjoy onscreen entertainment.

• Popular AIs head-to-head: OpenAI beats DeepSeek on sentence-level reasoning

  ChatGPT and other AI chatbots based on large language models are known to occasionally make things up, including scientific and legal citations. It turns out that measuring how accurate an AI model's citations are is a good way of assessing the model's reasoning abilities.

• AI-powered intrusion detection system outperforms traditional methods in securing IoT networks

  As Internet of Things (IoT) devices proliferate in sectors like smart cities, health care, and industrial systems, they have become prime targets for cyberattacks such as Distributed Denial of Service (DDoS), ransomware, and botnets. However, traditional security methods struggle to cope with these attacks due to the limited computational power of IoT devices and the dynamic nature of cyber threats.

• New data-driven method eliminates redundant computations, can streamline processes like scheduling trains

  When some commuter trains arrive at the end of the line, they must travel to a switching platform to be turned around so they can depart the station later, often from a different platform than the one at which they arrived.

• Predicting material failure: Machine learning spots early abnormal grain growth signs for safer designs

  A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a development that could lead to the creation of stronger, more reliable materials for high-stress environments, such as combustion engines. A paper describing their novel machine learning method was recently published in Nature Computational Materials.

• They sold their likeness to AI platforms—and regretted it

  South Korean actor Simon Lee was stunned when he saw his likeness—at times as a gynecologist or a surgeon—being used to promote questionable health cures on TikTok and Instagram.

• Autonomous drone defeats human champions in historic racing first

  For the first time, a drone has beaten human pilots in an international drone racing competition, marking a new milestone in the development of artificial intelligence. On Saturday April 14, 2025, two drone racing events took place simultaneously: The Falcon Cup Finals for human pilots and the A2RL Drone Championship for AI-powered, autonomous drones.

• Programmable photonic chip uses light to accelerate AI training and cut energy use

  Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough that could dramatically speed up AI training, reduce energy use and even pave the way for fully light-powered computers.

• Social networks are vulnerable to relatively simple AI manipulation and polarization

  It seems that no matter the topic of conversation, online opinion around it will be split into two seemingly irreconcilable camps.

• Study cracks the code behind why AI behaves as it does

  AI models like ChatGPT have amazed the world with their ability to write poetry, solve equations and even pass medical exams. But they can also churn out harmful content, or promote disinformation.

• A weird phrase is plaguing scientific papers—and we traced it back to a glitch in AI training data

  Earlier this year, scientists discovered a peculiar term appearing in published papers: "vegetative electron microscopy."

• Machine learning method cuts fraud detection costs by generating accurate labels from imbalanced datasets

  Fraud is widespread in the United States and increasingly driven by technology. For example, 93% of credit card fraud now involves remote account access, not physical theft. In 2023, fraud losses surpassed $10 billion for the first time.

• Training LLMs to self-detoxify their language

  As we mature from childhood, our vocabulary—as well as the ways we use it—grows, and our experiences become richer, allowing us to think, reason, and interact with others with specificity and intention. Accordingly, our word choices evolve to align with our personal values, ethics, cultural norms, and views.

• Explainable AI for ship navigation raises trust, decreases human error

  The Titanic sank 113 years ago on April 14–15, after hitting an iceberg, with human error likely causing the ship to stray into those dangerous waters. Today, autonomous systems built on artificial intelligence can help ships avoid such accidents, but could such a system explain to the captain why it was maneuvering a certain way?

• Danish brewer adds AI 'colleagues' to human team

  They have names, faces, and email addresses, but the five new colleagues at Denmark's Royal Unibrew only exist in the virtual realm, which the brewer hails as a milestone to unleash the full potential of its staff.

• Lightweight AI model facilitates high-quality image generation without direct transmission of sensitive data

  A new ultra-lightweight artificial intelligence (AI) model has been developed that assists in generating high-quality images without directly sending sensitive data to servers. This technological advancement paves the way for the safe utilization of high-performance generative AI in environments where privacy is paramount, such as in the analysis of patient MRI and CT scans.

• Photonic computing needs more nonlinearity: Acoustics can help

  Neural networks are one typical structure on which artificial intelligence can be based. The term "neural" describes their learning ability, which to some extent mimics the functioning of neurons in our brains. To be able to work, several key ingredients are required: one of them is an activation function which introduces nonlinearity into the structure.

• AI agents poised to take over travel industry

  Dreaming of going on vacation but not sure where to go? Increasingly the answer—and how to get there, what to eat and where to stay—will come from advanced AI, rather than your old-school travel agent.

• Over-training large language models may make them harder to fine-tune

  A small team of AI researchers from Carnegie Mellon University, Stanford University, Harvard University and Princeton University, all in the U.S., has found that if large language models are over-trained, it might make them harder to fine-tune. In their paper posted on the arXiv preprint server, the group compared the impact of different amounts of training on a single LLM.

• We need to stop pretending AI is intelligent. Here's how

  We are constantly fed a version of AI that looks, sounds and acts suspiciously like us. It speaks in polished sentences, mimics emotions, expresses curiosity, claims to feel compassion, even dabbles in what it calls creativity.

• Getting AIs working toward human goals: Study shows how to measure misalignment

  Ideally, artificial intelligence agents aim to help humans, but what does that mean when humans want conflicting things? My colleagues and I have come up with a way to measure the alignment of the goals of a group of humans and AI agents.

• Meta says it will resume AI training with public content from European users

  Social media company Meta said Monday that it will start using publicly available content from European users to train its artificial intelligence models, resuming work put on hold last year after activists raised concerns about data privacy.

• Using AI to monitor inaccessible locations of nuclear energy systems

  Whether it's for your vehicle or your home, from small-scale uses to the largest, the debate over the most efficient and cost-effective fuels continues. Currently, there's no shortage of options either. Nuclear power provides an alternative to more conventional energy options but requires rigorous systems monitoring and safety procedures. Machine learning could make keeping a close eye on key elements of nuclear systems easier and response time to issues faster.

• New model can generate audio and music tracks from diverse data inputs

  In recent years, computer scientists have created various highly performing machine learning tools to generate texts, images, videos, songs and other content. Most of these computational models are designed to create content based on text-based instructions provided by users.

• Dynamic model can generate realistic human motions and edit existing ones

  When exploring their surroundings, communicating with others and expressing themselves, humans can perform a wide range of body motions. The ability to realistically replicate these motions, applying them to human and humanoid characters, could be highly valuable for the development of video games and the creation of animations, content that can be viewed using virtual reality (VR) headsets and training videos for professionals.

• Using text-generating AI to power nuclear research

  Text-generating AI programs like ChatGPT are known for everyday tasks like answering questions, but that's not all they're good for. These AI agents can use their text-parsing powers to help further nuclear science and assist health physicists, as shown by nuclear engineering graduate student Zavier Ndum's research.

• Human-AI relationships pose ethical issues, psychologists say

  It's becoming increasingly commonplace for people to develop intimate, long-term relationships with artificial intelligence (AI) technologies. At their extreme, people have "married" their AI companions in non-legally binding ceremonies, and at least two people have killed themselves following AI chatbot advice.

• San Diego County seeks new policy to govern use of AI

  With artificial intelligence already affecting nearly every aspect of people's lives, San Diego County supervisors want a formal policy that spells out how staff will use—or avoid—the technology.