The proliferation of machine learning (ML) models in high-stakes societal applications has sparked concerns regarding fairness and transparency. Instances of biased decision-making have led to a growing distrust among consumers who are subject to ML-based decisions. To address this challenge and increase consumer trust, technology that enables public verification of the fairness properties of these… →
AI models have become integral to enhancing computing efficiency, productivity, and user experiences. Developing small language models (SLMs) is a key focus, enabling more efficient processing on personal computing devices. The problem addressed by researchers is the high computational demand for AI models, which often require substantial power and resources, limiting their deployment on smaller… →
CONCLUSIONS: The study did not show the hypothesised effect on hospitalisations and health-related quality of life. Future research should focus on refining this approach, with particular emphasis on optimising the timing of case conferences and implementing discussed changes to treatment plans, to improve collaboration between GPs and SPHC teams. →
CONCLUSIONS: The combination of dexmedetomidine and bupivacaine had no significant improvement in pain relief compared to bupivacaine alone. →
CONCLUSIONS: Both Gluma and propolis were found to be effective desensitising agents, but the effectiveness of propolis decreased over one month. →
LLMs like GPT-4 excel in language comprehension but struggle with high GPU memory usage during inference, limiting their scalability for real-time applications like chatbots. Existing methods reduce memory by compressing the KV cache but overlook inter-layer dependencies and pre-computation memory demands. Inference memory usage primarily comes from model parameters and the KV cache, with the… →
Language models (LMs) are a cornerstone of artificial intelligence research, focusing on the ability to understand and generate human language. Researchers aim to enhance these models to perform various complex tasks, including natural language processing, translation, and creative writing. This field examines how LMs learn, adapt, and scale their capabilities with increasing computational resources. Understanding… →
CONCLUSIONS: The e-mail transmission of photographs from GPs to dermatologists did not improve the dermatological management of patients whose suspicious skin lesions ultimately required resection. Further research is needed to validate quality criteria that might be useful for tele-expertise in dermatology. →
Recent technological advancements in genomics and imaging have resulted in a vast increase in molecular and cellular profiling data, presenting challenges for traditional analysis methods. Modern machine learning, particularly deep learning, offers solutions by handling large datasets to uncover hidden structures and make accurate predictions. This article explores deep learning applications in regulatory genomics and… →
The worldwide wearables industry is predicted to grow at a CAGR of 18% by 2026. With the addition of fitness tracking, health monitoring, virtual assistants, and other capabilities, wearable technology has advanced significantly in the last several years. There is still much room for development, but AI is poised to enhance the performance and functionality… →