In the last year, artificial intelligence’s advancement and appeal reached unprecedented heights. There is also a lot of talk on the moral implications of this technology. Still, deep-learning models can do much more than produce social media posts with made-up words or amusing false photos of celebrities. If you’re a filmmaker looking to streamline your… →
This study aimed to analyze the characteristics of the non-specific uptake (NSU) of ^(18)F-labeled fibroblast activation protein inhibitor (^(18)F-FAPI) of the pancreas and investigate the related factors. Totally, 78 patients who underwent both ^(18)F-fluorodeoxyglucose (FDG) and ^(18)F-FAPI PET/CT examinations were divided into normal (n = 53) and NSU (n = 25) groups. The differences in… →
Despite opposing insulin sensitivity and cardiometabolic risk, both athletes and patients with type 2 diabetes have increased skeletal myocyte fat storage: the so-called «athlete’s paradox». In a parallel non-randomised, non-blinded trial (NCT03065140), we characterised and compared the skeletal myocyte lipid signature of 29 male endurance athletes and 30 patients with diabetes after undergoing deconditioning or… →
CONCLUSIONS: USD was associated with adverse procedural complications and cardiac events during follow-up when not identified and corrected. The predominant mechanisms were undetected abluminal rewiring and guide catheter collision. Left main bifurcation percutaneous coronary intervention was a particular risk with USD detected in 18.5% of cases. →
Salesforce AI Research has unveiled a groundbreaking development – the XGen-MM series. Building upon the success of its predecessor, the BLIP series, XGen-MM represents a leap forward in LLMs. This article delves into the intricacies of XGen-MM, exploring its architecture, capabilities, and implications for the future of AI. The Genesis of XGen-MM: XGen-MM emerges from… →
In artificial intelligence (AI), utilizing monolithic large language models (LLMs) such as GPT-4 has been pivotal in advancing modern generative AI applications. However, the maintenance, training, and deployment of these LLMs at scale are fraught with challenges, primarily due to the high costs and complexities involved. These challenges are exacerbated by a growing disproportion in… →
Workplace creativity, analysis, and decision-making are all being revolutionized by AI. Today, artificial intelligence capabilities present a tremendous opportunity for businesses to hasten expansion and better control internal processes. Artificial intelligence applications are vast, ranging from automation and predictive analytics to personalization and content development. Here is a rundown of the best artificial intelligence tools… →
Pre-training large models on time series data faces several challenges: the lack of a comprehensive public time series repository, the complexity of diverse time series characteristics, and the infancy of experimental benchmarks for model evaluation, especially under resource-constrained and minimally supervised scenarios. Despite these hurdles, time series analysis remains vital across applications like weather forecasting,… →
Artificial intelligence hinges on using broad datasets, drawing from global internet resources like social media, news outlets, and more, to power algorithms that shape many facets of modern life. The training of generative models, such as GPT-4, Gemini, Cluade, and others, relies on often insufficiently documented and vetted data. This unstructured and obscure data collection… →
CONCLUSION: SSI can be diagnosed using a telephone questionnaire (obviating in-person assessment) in low resource settings. →