A new training technique could increase the number of physical systems that could serve as AI platforms.
Category: robotics/AI – Page 318
AI Companion Robots Gain Popularity Amid Rising Loneliness Epidemic
Diverse Applications Beyond Elderly Care
While companion robots have traditionally been used to support the elderly, their utility is expanding to other demographics prone to loneliness, such as office workers and university students. Dr. Li’s research in China reveals that these groups often experience social isolation and lack the resources for meaningful companionship. The physical presence of robots like Moflin and LOVOT, which offer tactile interactions, differentiates them from virtual assistants and enhances their effectiveness in providing emotional support.
[Read More: Can AI Step Out from Virtual to Real Companionship?].
AI Predicts Autoimmune Disease Progression with New Genetic Tool
Summary: Researchers have developed a Genetic Progression Score (GPS) using artificial intelligence to predict the progression of autoimmune diseases from preclinical symptoms to full disease. The GPS model integrates genetic data and electronic health records to provide personalized risk scores, improving prediction accuracy by 25% to 1,000% over existing models.
This method identifies individuals at higher risk earlier, enabling timely interventions and better disease management. The framework could also be adapted to study other underrepresented diseases, offering a breakthrough in personalized medicine and health equity.
Boston Dynamics Unveils Fully Electric Atlas Humanoid Robot
Farewell, hydraulic Atlas. Hello, fully electric Atlas. Boston Dynamics just showed off the next generation of Atlas and it’s… electric⚡🔋 #bostondynamics #atlas #humanoidrobot #tech #robot #electric.
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NVIDIA and Partners Launch Agentic AI Blueprints to Automate Work for Every Enterprise
New NVIDIA AI Blueprints for building agentic AI applications are poised to help enterprises everywhere automate work.
With the blueprints, developers can now build and deploy custom AI agents. These AI agents act like “knowledge robots” that can reason, plan and take action to quickly analyze large quantities of data, summarize and distill real-time insights from video, PDF and other images.
Building Multimodal RAG Application #6: Large Vision Language Models (LVLMs) Inference
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Multimodal retrieval-augmented generation (RAG) is transforming how AI applications handle complex information by merging retrieval and generation capabilities across diverse data types, such as text, images, and video.
Unlike traditional RAG, which typically focuses on text-based retrieval and generation, multimodal RAG systems can pull in relevant content from both text and visual sources to generate more contextually rich, comprehensive responses.
Could AI Help Predict the Next Pandemic?
This article outlines examples of where AI has been utilized to predict disease outbreaks and how AI models could help inform future strategies for controlling the spread of infectious diseases to prevent possible pandemics.
AI’s contribution to pandemic preparedness
In August 2024, the World Health Organization (WHO) updated its list of pathogens that could spark the next pandemic, which grew to include more than 30 pathogens. The microorganisms were selected based on available evidence showing them to be highly transmissible and virulent, with limited access to vaccines and treatments. While some pathogens on the list may never cause an epidemic, the growing number of pathogens of concern highlights the need for new tools to help predict and control the spread of infectious diseases.
