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Marktechpost Releases 2025 Agentic AI and AI Agents Report: A Technical Landscape of AI Agents and Agentic AI
Marktechpost Releases 2025 Agentic AI and AI Agents Report: A Technical Landscape of AI Agents and Agentic AI Marktechpost AI Media has unveiled its most comprehensive publication—The Agentic AI and AI Agents Report for 2025—delivering a technically rigorous exploration into the architectures, frameworks, and deployment strategies shaping the future of AI agents. The report spans… →
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This AI Paper Introduces PARSCALE (Parallel Scaling): A Parallel Computation Method for Efficient and Scalable Language Model Deployment
This AI Paper Introduces PARSCALE (Parallel Scaling): A Parallel Computation Method for Efficient and Scalable Language Model Deployment The pursuit of improved performance in language models has led researchers to scale them up, typically by increasing the number of parameters or extending computational capacity. This trend has made the development and deployment of language models… →
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Psychometric validation of the EORTC QLQ-OES18 in patients with advanced or metastatic esophageal squamous cell carcinoma
CONCLUSION: Overall, a collection of psychometric evidence indicated that the EORTC QLQ-OES18 reliably and validly measured symptom severity in the RATIONALE 302 population. Specifically, the dysphagia domain consistently demonstrated robust psychometric properties. Limitations in data reduced the interpretability of MWPC thresholds and are discussed in detail. →
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Effect of acarbose and vildagliptin on plasma trimethylamine N-oxide levels in patients with type 2 diabetes mellitus: a 6-month, two-arm randomized controlled trial
CONCLUSIONS: Both acarbose and vildagliptin treatments significantly reduced TMAO levels in newly diagnosed T2DM patients, with a more pronounced reduction observed in the acarbose group. Furthermore, the decline in TMAO levels correlated significantly with improvements in insulin resistance parameters. →
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Adjuvant nonavalent HPV vaccination in women treated for vulvar HSIL, a randomized placebo-controlled trial; VulVaccin study protocol
BACKGROUND: Each year, 45,000 women worldwide develop vulvar cancer, often occurred from vulvar high-grade squamous intraepithelial lesions (vHSIL), a precancerous stage associated with high- risk human papillomavirus (HPV). Recurrent vHSIL, experienced by over 30% of patients despite treatment, conducting in significant physical and psychosocial challenges. With no established method to reduce recurrence, our study investigates… →
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Results of a Randomized Controlled Trial Examining the Efficacy of Intranasal Oxytocin to Enhance Alcohol Behavioral Couple Therapy
Objective: This study examined the efficacy of intranasal oxytocin (40 IU), compared to matching placebo (saline), when combined with Alcohol Behavioral Couple Therapy (ABCT) for the treatment of alcohol use disorder (AUD). →
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Meta Researchers Introduced J1: A Reinforcement Learning Framework That Trains Language Models to Judge With Reasoned Consistency and Minimal Data
Meta Researchers Introduced J1: A Reinforcement Learning Framework That Trains Language Models to Judge With Reasoned Consistency and Minimal Data Recent advancements in artificial intelligence have seen large language models (LLMs) evolving from traditional text generation roles to performing evaluation and judgment tasks. This shift has given rise to the concept of “LLM-as-a-Judge,” where models… →
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Microsoft Phi-4: A New Era of AI Efficiency
In the ever-evolving world of artificial intelligence, breakthroughs don’t always mean bigger models; they often mean smarter, more efficient architectures. Microsoft’s Phi-4 series is a perfect illustration of this principle. By harnessing advanced training techniques and high-quality curated data, Microsoft has engineered a family of small language models that excel at complex reasoning tasks, yet… →
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Sampling Without Data is Now Scalable: Meta AI Releases Adjoint Sampling for Reward-Driven Generative Modeling
Sampling Without Data is Now Scalable: Meta AI Releases Adjoint Sampling for Reward-Driven Generative Modeling Data Scarcity in Generative Modeling Generative models traditionally rely on large, high-quality datasets to produce samples that replicate the underlying data distribution. However, in fields like molecular modeling or physics-based inference, acquiring such data can be computationally infeasible or even… →
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Step-by-Step Guide to Create an AI agent with Google ADK
Step-by-Step Guide to Create an AI Agent with Google ADK The Agent Development Kit (ADK) is an open-source Python framework that enables developers to build, manage, and deploy multi-agent systems. Its modular and flexible design makes it suitable for both simple and complex agent-based applications. Creating a Simple AI Agent In this tutorial, we will… →