Monocular depth estimation (MDE) plays an important role in various applications, including image and video editing, scene reconstruction, novel view synthesis, and robotic navigation. However, this task poses significant challenges due to the inherent scale distance ambiguity, making it ill-posed. Learning-based methods should utilize robust semantic knowledge to achieve accurate results and overcome this limitation.… →
With the rapid advancement of technology, surpassing human abilities in tasks like image classification and language processing, evaluating the energy impact of ML is essential. Historically, ML projects prioritized accuracy over energy efficiency, contributing to increased energy consumption. Green software engineering, highlighted by Gartner as a key trend for 2024, focuses on addressing this issue.… →
Training a Large CNN for Image Classification:Researchers developed a large CNN to classify 1.2 million high-resolution images from the ImageNet LSVRC-2010 contest, spanning 1,000 categories. The model, which contains 60 million parameters and 650,000 neurons, achieved impressive results, with top-1 and top-5 error rates of 37.5% and 17.0%, respectively—significantly outperforming previous methods. The architecture comprises… →
In the significantly advancing fields of neuroscience and Artificial Intelligence (AI), the goal of comprehending and modeling human cognition has resulted in the creation of sophisticated models that make an effort to mimic the intricate workings of the brain. The tensor brain, a computer framework created to mimic how the brain interprets and stores information,… →
Nvidia unveiled its latest large language model (LLM) offering, the Llama-3.1-Nemotron-51B. Based on Meta’s Llama-3.1-70B, this model has been fine-tuned using advanced Neural Architecture Search (NAS) techniques, resulting in a breakthrough in both performance and efficiency. Designed to fit on a single Nvidia H100 GPU, the model significantly reduces memory consumption, computational complexity, and costs… →
CONCLUSIONS AND RELEVANCE: This randomized clinical trial of an in-home, voice-activated CBT-I program among breast cancer survivors found that the intervention improved insomnia symptoms. Future studies may explore how this program can be taken to scale and integrated into ambulatory care. →
CONCLUSION: Our findings suggest that brief stabilization sessions are safe treatment options for acute PTSD (KCT0001918). →
INTRODUCTION: This study evaluates the efficacy of integrating percutaneous electrical nerve stimulation at the pericardium 6 (PC6) acupuncture point through a wearable acustimulation device with standard pharmacological prophylaxis to prevent postoperative nausea and vomiting (PONV) compared with pharmacological prophylaxis alone in patients undergoing laparoscopic abdominal surgery. →
CONCLUSIONS: Implementation of HB-PrEP into a high-volume sexual health clinic seems to be feasible and acceptable to early RCT enrollees. This strategy has the potential to address individual and systemic barriers associated with initiating and persisting on PrEP, such as increasing sexual health agency and expanding clinical capacity to serve greater numbers of PrEP users. →
Google has just rolled out an exciting update to its Gemini models by releasing Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002, offering production-ready versions, reduced pricing, and increased rate limits. The enhanced models deliver improved performance across a wide array of tasks, marking a significant step in making AI more accessible and practical for businesses and developers alike. Key… →