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Liquid AI Releases LFM2-8B-A1B: An On-Device Mixture-of-Experts with 8.3B Params and a 1.5B Active Params per Token
Liquid AI Releases LFM2-8B-A1B: An On-Device Mixture-of-Experts with 8.3B Params and a 1.5B Active Params per Token Understanding the Target Audience The primary audience for the LFM2-8B-A1B release includes: Business Decision Makers: They seek to integrate advanced AI capabilities into products while managing costs, performance, and system requirements. Data Scientists and AI Engineers: They are… →
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Smart Continence Care for People With Profound Intellectual and Multiple Disabilities Within Dutch Residential Care Facilities: Economic Evaluation Alongside a Cluster Randomized Trial
CONCLUSIONS: The results of this economic evaluation are not conclusive because of the mixed outcomes and a limited timeframe. SCC is ineffective in reducing the number of weekly leakages, but it does reduce the number of weekly IMCs. However, SCC was not effective in reducing time spent on continence care. Findings suggest that SCC is… →
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Influence of Cannabidiol Use on Visual Function and Optical Quality: A Randomized Controlled Trial
CONCLUSIONS: This non-psychotropic CBD did not appear to adversely affect vision and seems to be a safe substance in the short term at the concentrations assessed. →
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Meta Superintelligence Labs’ MetaEmbed Rethinks Multimodal Embeddings and Enables Test-Time Scaling with Flexible Late Interaction
«`html Understanding the Target Audience for MetaEmbed The target audience for Meta Superintelligence Labs’ MetaEmbed solution primarily consists of AI and business professionals who are focused on enhancing multimodal retrieval systems. This audience typically includes data scientists, machine learning engineers, product managers, and decision-makers in organizations that rely on efficient data retrieval and processing. Audience… →
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Comparison of the efficacy of connective tissue massage and manual lymphatic drainage in patients with migraine: a randomized controlled trial
CONCLUSIONS: These findings suggest that CTM and MLD can help migraine patients, with MLD showing a stronger effect on pain relief and well-being, whereas CTM being more effective in reducing neck pain and disability. →
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A randomized, double blind, placebo-controlled pilot study to assess the efficacy of erenumab in individuals with temporomandibular disorder
CONCLUSIONS: Erenumab was not efficacious in reducing TMD myalgic pain in this phase II trial of 30 subjects with relatively mild pain. →
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Agentic Context Engineering (ACE): Self-Improving LLMs via Evolving Contexts, Not Fine-Tuning
«`html Understanding the Target Audience for Agentic Context Engineering (ACE) The target audience for the ACE framework consists of AI researchers, business managers, and technology decision-makers. These individuals are typically involved in the development and deployment of large language models (LLMs) and are keen on improving their performance without the overhead associated with traditional fine-tuning… →
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Google Open-Sources an MCP Server for the Google Ads API, Bringing LLM-Native Access to Ads Data
Understanding the Audience for Google Open-Sourced MCP Server for the Google Ads API The target audience for the Google Open-Sourced MCP Server includes digital marketing professionals, developers, data analysts, and growth teams working in the advertising landscape. These individuals often leverage large language models (LLMs) and are looking for efficient ways to access and analyze… →
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What are ‘Computer-Use Agents’? From Web to OS—A Technical Explainer
«`html What are ‘Computer-Use Agents’? From Web to OS—A Technical Explainer Target Audience Analysis The target audience for this article includes business professionals, AI researchers, and technology enthusiasts interested in the intersection of artificial intelligence and user interface automation. Their pain points often revolve around understanding the practical applications of AI in business processes, the… →
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Patient and healthcare professional engagement and time use within a randomised controlled trial: investigating intervention costs associated with remote person-centred care in Sweden
CONCLUSIONS: The intervention usage patterns of patients and HCPs differed. Despite HCPs being accessible when required, patients dedicated most of their time to self-care practices. Based on time distribution data, 15 full-time HCPs could potentially co-create, document and follow-up on health plans for 10 000 patients under study conditions. →
