​[[{“value”:” AI-related risks concern policymakers, researchers, and the general public. Although substantial research has identified and categorized these risks, a unified framework is needed to be consistent with terminology and clarity. This lack of standardization makes it challenging for organizations to create thorough risk mitigation… Read More »MIT Researchers Released a Robust AI Governance Tool to Define, Audit, and Manage AI Risks Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The number of scientific publications is rapidly growing, increasing each year by 4%-5%. This poses a major challenge for researchers who spend most of their time reviewing numerous academic papers to keep updated with their fields. This is essential for staying relevant and innovative… Read More »OpenResearcher: An Open-Source Project that Harnesses AI to Accelerate Scientific Research Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Retrieval-Augmented Generation (RAG) is a cutting-edge approach in natural language processing (NLP) that significantly enhances the capabilities of Large Language Models (LLMs) by incorporating external knowledge bases. This method is particularly effective in domains where precision and reliability are critical, such as legal, medical,… Read More »RAGChecker: A Fine-Grained Evaluation Framework for Diagnosing Retrieval and Generation Modules in RAG Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Cybersecurity is a fast-paced area wherein knowledge and mitigation of threats are most necessary. In this respect, the attack graph is one tool that security analysts mainly resort to for charting all possible attacker paths to the exploitation of vulnerabilities within a system. The… Read More »Researchers from UCI and Cisco Propose ‘CrystalBall’: A Novel AI Method for Automated Attack Graph Generation Using Retriever-Augmented Large Language Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The research paper titled “ControlNeXt: Powerful and Efficient Control for Image and Video Generation” addresses a significant challenge in generative models, particularly in the context of image and video generation. As diffusion models have gained prominence for their ability to produce high-quality outputs, the… Read More »Efficient and Robust Controllable Generation: ControlNeXt Revolutionizes Image and Video Creation Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Effectively aligning large language models (LLMs) with human instructions is a critical challenge in the field of AI. Current LLMs often struggle to generate responses that are both accurate and contextually relevant to user instructions, particularly when relying on synthetic data. Traditional methods, such… Read More »Cracking the Code of AI Alignment: This AI Paper from the University of Washington and Meta FAIR Unveils Better Alignment with Instruction Back-and-Forth Translation Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) face challenges in effectively utilizing additional computation at test time to improve the accuracy of their responses, particularly for complex tasks. Researchers are exploring ways to enable LLMs to think longer on difficult problems, similar to human cognition. This capability… Read More »Google AI Announces Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Balancing Innovation and Threats in AI and Cybersecurity: AI is transforming many sectors with its advanced tools and broad accessibility. However, the advancement of AI also introduces cybersecurity risks, as cybercriminals can misuse these technologies. Governments, including the US and UK, and major AI… Read More »AI and Cybersecurity: Navigating Innovation, Resilience, and Global Collaborative Efforts Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models require large datasets of prompts paired with particular user requests and correct responses for training purposes. LLMs require this for human-like text understanding and generation as the answers to various questions. Conversely, unlike other languages, mainly Arabic, immense efforts have been… Read More »aiXplain Researchers Develop Innovative Approaches for Arabic Prompt Instruction Following with LLMs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have made significant strides in mathematical reasoning and theorem proving, yet they face considerable challenges in formal theorem proving using systems like Lean and Isabelle. These systems demand rigorous derivations that adhere to strict formal specifications, posing difficulties even for… Read More »DeepSeek-AI Open-Sources DeepSeek-Prover-V1.5: A Language Model with 7 Billion Parameters that Outperforms all Open-Source Models in Formal Theorem Proving in Lean 4 Mohammad Asjad Artificial Intelligence Category – MarkTechPost