​[[{“value”:” In recent years, the rise of large language models (LLMs) and vision-language models (VLMs) has led to significant advances in artificial intelligence, enabling models to interact more intelligently with their environments. Despite these advances, existing models still struggle with tasks that require a high… Read More »Meet ‘BALROG’: A Novel AI Benchmark Evaluating Agentic LLM and VLM Capabilities on Long-Horizon Interactive Tasks Using Reinforcement Learning Environment Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Scientific literature synthesis is integral to scientific advancement, allowing researchers to identify trends, refine methods, and make informed decisions. However, with over 45 million scientific papers published annually, staying updated has become a formidable challenge. Limitations hinder synthesizing relevant data from this growing corpus… Read More »The Allen Institute for AI (AI2) Introduces OpenScholar: An Open Ecosystem for Literature Synthesis Featuring Advanced Datastores and Expert-Level Results Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As AI agents become increasingly sophisticated and autonomous, the need for robust tools to manage and optimize their behavior becomes paramount. AgentOps, the practice of managing and operating AI agents, is emerging as a critical discipline. These tools are essential for streamlining the development,… Read More »Top AgentOps Tools in 2025 Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In this paper, researchers from Queen Mary University of London, UK, University of Oxford, UK, Memorial University of Newfoundland, Canada, and Google DeepMind Moutain View, CA, USA proposed a unifying framework, BONE (Bayesian Online learning in Non-stationary Environments) for Bayesian online learning in dynamic… Read More »BONE: A Unifying Machine Learning Framework for Methods that Perform Bayesian Online Learning in Non-Stationary Environments Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Supercomputers are the pinnacle of computational technology, which is made to tackle complex problems. These devices manage enormous databases, facilitating advances in sophisticated scientific research, artificial intelligence, nuclear simulations, and climate modeling. They push the limits of what is feasible, enabling simulations and analyses… Read More »13 Most Powerful Supercomputers in the World Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Protein language models (PLMs) have significantly advanced protein structure and function prediction by leveraging the vast diversity of naturally evolved protein sequences. However, their internal mechanisms still need to be better understood. Recent interpretability research offers tools to analyze the representations these models learn,… Read More »Unveiling Interpretable Features in Protein Language Models through Sparse Autoencoders Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of AI is progressing rapidly, particularly in areas requiring deep reasoning capabilities. However, many existing large models are narrowly focused, excelling primarily in environments with clear, quantifiable outcomes such as mathematics, coding, or well-defined decision paths. This limitation becomes evident when models… Read More »Alibaba Just Released Marco-o1: Advancing Open-Ended Reasoning in AI Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The integration of AI agents into various workflows has increased the need for intelligent coordination, data routing, and enhanced security among systems. As these agents proliferate, ensuring secure, reliable, and efficient communication between them has become a pressing challenge. Traditional approaches, such as static… Read More »Meet Arch 0.1.3: Open-Source Intelligent Proxy for AI Agents Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Allen Institute for AI (AI2) has announced the release of Tülu 3, a state-of-the-art family of instruction-following models designed to set a new benchmark in AI capabilities. This release includes state-of-the-art features, methodologies, and tools, providing researchers and developers with a comprehensive, open-source… Read More »The Allen Institute for AI (AI2) Releases Tülu 3: A Set of State-of-the-Art Instruct Models with Fully Open Data, Eval Code, and Training Algorithms Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in video generation models have enabled the production of high-quality, realistic video clips. However, these models face challenges in scaling for large-scale, real-world applications due to the computational demands required for training and inference. Current commercial models like Sora, Runway Gen-3, and… Read More »Microsoft Research Introduces Reducio-DiT: Enhancing Video Generation Efficiency with Advanced Compression Aswin Ak Artificial Intelligence Category – MarkTechPost