Metaphor Components Identification (MCI) is an essential aspect of natural language processing (NLP) that involves identifying and interpreting metaphorical elements such as tenor, vehicle, and ground. These components are critical for understanding metaphors, which are prevalent in daily communication, literature, and scientific discourse. Accurately processing metaphors is vital for various NLP applications, including sentiment analysis,… →
Recent AI advancements have notably impacted various sectors, particularly in image recognition and photorealistic image generation, with significant medical imaging and autonomous driving applications. However, the video understanding and generation domain, especially Video-LLMs, still needs help. These models struggle with processing temporal dynamics and integrating audio-visual data, limiting their effectiveness in predicting future events and… →
Improving AI is complicated by data, as the amount of training data required for each new model release has increased significantly. This burden is further worsened by the growing problem of finding useful, compliant data in the open domain. However, with David AI’s data marketplace, AI developers can now focus on their core task of… →
CONCLUSIONS: The home-based foot NMES is safe, and significantly improved self-reported function, leg pain and overall leg symptoms, and increased ankle blood flow compared to a Sham among older adults. →
Hormesis Management in Agriculture: Leveraging AI for Crop Improvement: Plant stress negatively impacts crop productivity but can also be beneficial when controlled, a phenomenon known as hormesis. Hormesis management involves exposing crops to low doses of stressors to enhance traits like stress tolerance and metabolite production. However, the complexity of plant responses to stress limits… →
State-of-the-art large language models (LLMs) are increasingly conceived as autonomous agents that can interact with the real world using perception, decision-making, and action. An important topic in this arena is whether or not these models can effectively use external tools. Tool use in LLMs will involve: Recognizing when a tool is needed. Choosing the correct… →
The integration of language models into biological research represents a significant challenge due to the inherent differences between natural language and biological sequences. Biological data, such as DNA, RNA, and protein sequences, are fundamentally different from natural language text, yet they share sequential characteristics that make them amenable to similar processing techniques. The primary challenge… →
INTRODUCTION: Insomnia is a prevalent sleep disorder that negatively impacts daytime functioning and quality of life. Breast cancer patients report higher rates of insomnia and more circadian disruption than other cancer groups. Approximately 50% of patients experience acute insomnia following breast cancer diagnosis, which often persists during cancer treatment and rehabilitation. Sleep Restriction Therapy (SRT)… →
Artificial intelligence (AI) has evolved into a powerful tool beyond simple automation, becoming a critical asset in scientific research. Integrating AI in scientific discovery is reshaping the landscape by enabling machines to perform tasks that traditionally require human intelligence. This evolution marks a shift towards a future where AI assists and autonomously drives scientific innovation.… →