The development of Transformer models has significantly advanced artificial intelligence, delivering remarkable performance across diverse tasks. However, these advancements often come with steep computational requirements, presenting challenges in scalability and efficiency. Sparsely activated Mixture-of-Experts (MoE) architectures provide a promising solution, enabling increased model capacity without proportional computational costs. Yet, traditional TopK+Softmax routing in MoE models… →
Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential equations (PDEs). Unlike traditional neural network tasks, these mappings operate in infinite-dimensional spaces, making them particularly suitable for scientific domains where real-world problems inherently exist in expansive mathematical… →
CONCLUSIONS: Six-month Guolin Qigong could improve quality of life, physical function, and pain, and have a beneficial effect on the well-being of cancer patients. Further studies are warranted to confirm these results. →
Agentic AI systems have revolutionized industries by enabling complex workflows through specialized agents working in collaboration. These systems streamline operations, automate decision-making, and enhance overall efficiency across various domains, including market research, healthcare, and enterprise management. However, their optimization remains a persistent challenge, as traditional methods rely heavily on manual adjustments, limiting scalability and adaptability.… →
Hypernetworks have gained attention for their ability to efficiently adapt large models or train generative models of neural representations. Despite their effectiveness, training hyper networks are often labor-intensive, requiring precomputed optimized weights for each data sample. This reliance on ground truth weights necessitates significant computational resources, as seen in methods like HyperDreamBooth, where preparing training… →
Formal mathematical reasoning represents a significant frontier in artificial intelligence, addressing fundamental logic, computation, and problem-solving challenges. This field focuses on enabling machines to handle abstract mathematical reasoning with precision and rigor, extending AI’s applications in science, engineering, and other quantitative domains. Unlike natural language processing or vision-based AI, this area uniquely combines structured logic… →
CONCLUSIONS: Recruitment of people with stroke/TIA to a trial comparing a BP self-monitoring and digital behavioural intervention to usual care was feasible prior to the COVID-19 pandemic and the vast majority of those randomised to intervention used it while the trial was running. Routinely recorded blood pressure control improved in both groups. Digital interventions including… →
Colonoscopy is a valuable tool for colorectal cancer screening and health checkups, with increasing utilization annually. Assisted entry is a standard procedure during electronic colonoscopy. In China, most clinically assisted colonoscopy procedures involve a nurse directly applying abdominal pressure to the patient’s abdomen. This maneuver provides a fulcrum for the physician performing the procedure, facilitating… →
This research evaluated the effectiveness of an online simulation-based serious game as a learning tool in diagnosis and treatment planning for oral lesions (SimOL) in comparison to a pre-recorded lecture-based approach and to determine its appropriate integration into the undergraduate dental curriculum. A crossover randomized control trial was conducted with a cohort of 77 dental… →
Social media platforms have revolutionized human interaction, creating dynamic environments where millions of users exchange information, form communities, and influence one another. These platforms, including X and Reddit, are not just tools for communication but have become critical ecosystems for understanding modern societal behaviors. Simulating such intricate interactions is vital for studying misinformation, group polarization,… →