A reported attempt by a covert Chinese lab to reverse-engineer an EUV lithography scanner underscores that, despite access to scattered components, replicating ASML's EUV tools is effectively impossible without recreating the company's entire global supply chain, optics ecosystem, and proprietary software built over decades.
Samsung delays DDR4 end-of-life due to long-term contract with key customer
AI code agents, also known as large language models (LLMs), use neural networks to analyze vast amounts of data and complete code with a plausible response. They can be improved through fine-tuning and learning from human feedback.
A team of researchers has recovered the only known copy of Unix v4 from a tape found at the University of Utah. The operating system is now running on a platform.
A new optimization algorithm can overcome limited resources to ensure effective and rapid humanitarian aid.
The research proposes a new approach for discovering symmetries in data, improving performance and efficiency of machine learning models. The method, called \lieflow, uses flow matching on Lie groups to explore symmetries directly from data.
A team of researchers has developed a new algorithm to improve plant analysis. The method, known as FGDCC, uses classification to overcome the obstacles in representing images within a category. This work can open up new possibilities for developing more sophisticated machine learning models.
A new study presents innovative solutions for human activity recognition with wearables, reducing label dependency. Researchers developed a weakly supervised framework that optimizes performance with only 10% of the labels.
A new approach for extracting clinical data from oncology notes using large language models
Recently discovered the hidden biases in conversations with technology based on language models. A team of researchers analyzed language models and found that they can have tone tendencies, influencing user perception of trust, empathy, and fairness.
A recent research team has made a significant improvement to AI models for predicting mortality of ICU patients by integrating structured and unstructured clinical data.
A research team has developed a new method for multi-label classification of plant species on high-resolution images, achieving fifth place in the PlantCLEF 2025 challenge.
A new research project proposes using PhysMaster as an autonomous agency for theoretical physics and computational science, leveraging its advanced language model capabilities to accelerate research, automate tasks, and uncover independent discoveries.
Gli sviluppatori hanno valutato la capacità dei modelli Llama a riconoscere i movimenti istruzioneali nei testi autentici, scoprendo che solo con l'adeguamento del codice è possibile superare i limiti delle applicazioni di base.
Finding rare but useful solutions in very large candidate spaces is a recurring practical challenge across language generation, planning, and reinforcement learning. A new approach for more effective results.
A new framework utilizing large language models to tackle the complex EDA sector has been developed. The solution combines fine-tuning of LLMs with text-to-text regression to significantly improve output format reliability.
The world's largest shadow library made a 300TB copy of Spotify’s most streamed songs, representing over 99% of listens. This massive dataset was distributed via torrents and is the first 'preservation archive' for music that is fully open.
Two popular YouTube channels with millions of subscribers have been shut down for publishing fake AI movie trailers. The platform has applied content rules and forced the creators to clearly state that it was not official trailers.
Explainable Machine Learning Outperforms Linear Regression for Predicting County-Level Lung Cancer Mortality Rates in the United States
The technology of Artificial Intelligence (AI) is changing the face of marketing, enabling service agencies to offer more effective and faster solutions to their clients.