Multimodal large language models (MLLMs) represent a cutting-edge intersection of language processing and computer vision, tasked with understanding and generating responses that consider both text and imagery. These models, evolving from their predecessors that handled either text or images, are now capable of tasks that require an integrated approach, such as describing photographs, answering questions… →
Applications that take advantage of machine learning in novel ways are being developed thanks to the rise of Low-Code and No-Code AI tools and platforms. AI can be used to create web services and customer-facing apps to coordinate sales and marketing efforts better. Minimal coding expertise is all that’s needed to make use of Low-Code… →
In a recent study, a team of researchers from Imperial College London and Dell introduced StyleMamba, an effective framework for transferring picture styles that uses text prompts to direct the stylization process while maintaining the original image content. The computational needs and training inefficiencies of the current text-guided stylization techniques have been addressed in this… →
The inherent risks associated with AI systems, especially in applications like autonomous driving and medical diagnosis, where errors can have severe consequences, should be handled carefully, keeping the risk factor under control. The key challenge lies in developing dependable models and ensuring their reliable execution, including innovative approaches to mitigate these risks effectively. Researchers from… →
CONCLUSIONS: This novel digital cognitive-physical intervention was efficacious in school-age children with ADHD. A larger multicenter effectiveness trial with longer follow-up is warranted to confirm these findings and to assess the durability of treatment effects. →
CONCLUSIONS AND RELEVANCE: In this secondary analysis of a randomized clinical trial, BP self-monitoring plus self-titration of antihypertensive medication based on an individualized prearranged plan used in primary care reduced BP in the longer term with passive follow-up compared with usual care, without increasing health care use or adverse events. These results suggest that simple,… →
CONCLUSION: Treatment with ESWT was superior to other treatments throughout the study and at the final follow-up. In patients receiving CS injections, the clinical outcomes worsened with time, evidenced by the six-month follow-up. Further studies on combined treatment modalities are needed on this subject. →
Large language models (LLMs) have revolutionized natural language processing, enabling groundbreaking advancements in various applications such as machine translation, question-answering, and text generation. However, the training of these models poses significant challenges, including high resource requirements and long training times due to the complexity of the computations involved. Previous research has explored techniques like loss-scaling… →
Language models (LMs) have gained traction as aids in software engineering, where users act as intermediaries between LMs and computers, refining LM-generated code based on computer feedback. Recent advancements depict LMs functioning autonomously in computer environments, potentially expediting software development. However, the practical application of this autonomous approach still needs to be explored. Code generation… →
CONCLUSIONS: Results provide some evidence that pre-exercise PX ingestion improves prefrontal cortex function, attenuates attentional decline, mitigates cognitive fatigue, and improves reaction time and vigilance. Adding CA to PX did not provide additional benefits. Therefore, PX ingestion may serve as a nootropic alternative to CA. →