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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. →
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Economic evaluation of a person-centred care intervention with a digital platform and structured telephone support for people with chronic heart failure and/or chronic obstructive pulmonary disease: results from a randomised controlled trial in Sweden
CONCLUSIONS: The results of this CEA demonstrated that a remote PCC add-on intervention for people with COPD and/or CHF had lower healthcare costs and higher health-related quality of life compared with usual care. →
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Microsoft Research Releases Skala: a Deep-Learning Exchange–Correlation Functional Targeting Hybrid-Level Accuracy at Semi-Local Cost
Microsoft Research Releases Skala: a Deep-Learning Exchange–Correlation Functional Targeting Hybrid-Level Accuracy at Semi-Local Cost Target Audience Analysis The primary audience for Skala includes researchers and professionals in computational chemistry and materials science, particularly those utilizing Kohn–Sham Density Functional Theory (DFT). This audience typically consists of: Academics and researchers focused on theoretical chemistry and materials science.… →
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Handle the Corporate Heat Like an Actual Firefighter
Carolyn Geason-Beissel/MIT SMR | Getty Images Picture this: You’re rappelling down the side of a burning building. Flames are everywhere. People are shouting for help. You look up to see who’s holding the rope — who’s keeping you from falling hundreds of feet to the concrete sidewalk below — and it’s … you, yourself! Feeling… →
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A feasibility study of an autonomy-supportive intervention in remote pulmonary rehabilitation for older adults with chronic obstructive pulmonary disease
CONCLUSION: An autonomy-supportive CIF intervention effectively enhanced autonomy support and maintained adherence in remote PR amongst older adults with COPD. →
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Intratumoral B cell and interferon signatures in newly diagnosed glioblastoma are associated with longer survival in patients treated with SurVaxM
Glioblastoma (GBM) has proved difficult to treat, and there is dire need for more effective therapies. In a single arm phase IIa trial (NCT02455557), treatment of newly diagnosed GBM patients with the peptide vaccine SurVaxM resulted in promising median progression-free and overall survival. To investigate molecular features that associate with GBM responsiveness to SurVaxM, retrospective… →
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Tiny Recursive Model (TRM): A Tiny 7M Model that Surpass DeepSeek-R1, Gemini 2.5 pro, and o3-mini at Reasoning on both ARG-AGI 1 and ARC-AGI 2
«`html Understanding the Tiny Recursive Model (TRM) The Tiny Recursive Model (TRM) is a compact 7M-parameter model developed by Samsung SAIT (Montreal) that demonstrates superior reasoning capabilities compared to larger models such as DeepSeek-R1, Gemini 2.5 Pro, and o3-mini on both ARC-AGI 1 and ARC-AGI 2 benchmarks. TRM achieves a test accuracy of 44.6–45% on… →