​[[{“value”:” In today’s rapidly changing world, monitoring the health of our planet’s vegetation is more critical than ever. Vegetation plays a crucial role in maintaining an ecological balance, providing sustenance, and acting as a carbon sink. Traditionally, monitoring vegetation health has been a daunting task.… Read More »Map Earth’s vegetation in under 20 minutes with Amazon SageMaker Xiong Zhou AWS Machine Learning Blog

​[[{“value”:” Large language models (LLMs) have revolutionized various fields by enabling more effective data processing, complex problem-solving, and natural language understanding. One major innovation is retrieval-augmented generation (RAG), which allows LLMs to retrieve relevant information from external sources, such as large knowledge databases, to generate… Read More »Google AI Researchers Introduced a Set of New Methods for Enhancing Long-Context LLM Performance in Retrieval-Augmented Generation Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Intact Financial Corporation is the leading provider of property and casualty insurance in Canada, a leading provider of global specialty insurance, and a leader in commercial lines in the UK and Ireland. Intact faced a challenge in managing its vast network of customer support call… Read More »Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS Étienne Brouillard AWS Machine Learning Blog

​[[{“value”:” High-performance AI models that can run at the edge and on personal devices are needed to overcome the limitations of existing large-scale models. These models require significant computational resources, making them dependent on cloud environments, which poses privacy risks, increases latency, and adds costs.… Read More »Mistral AI Introduces Les Ministraux: Ministral 3B and Ministral 8B- Revolutionizing On-Device AI Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have gained widespread adoption due to their advanced text understanding and generation capabilities. However, ensuring their responsible behavior through safety alignment has become a critical challenge. Jailbreak attacks have emerged as a significant threat, using carefully crafted prompts to bypass… Read More »AutoDAN-Turbo: A Black-Box Jailbreak Method for LLMs with a Lifelong Agent Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The most serious challenge regarding IGNNs relates to slow inference speed and scalability. While these networks are effective at capturing long-range dependencies in graphs and addressing over-smoothing issues, they require computationally expensive fixed-point iterations. This reliance on iterative procedures severely limits their scalability, particularly… Read More »IGNN-Solver: A Novel Graph Neural Solver for Implicit Graph Neural Networks Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Quantum computers are a revolutionary technology that harnesses the principles of quantum mechanics to perform calculations that would be infeasible for classical computers. Evaluating the performance of quantum computers has been a challenging task due to their sensitivity to noise, the complexity of quantum… Read More »Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have evolved to become powerful tools capable of understanding and responding to user instructions. Based on the transformer architecture, these models predict the next word or token in a sentence, generating responses with remarkable fluency. However, they typically respond without… Read More »Thinking LLMs: How Thought Preference Optimization Transforms Language Models to Perform Better Across Logic, Marketing, and Creative Tasks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite the vast accumulation of genomic data, the RNA regulatory code must still be better understood. Genomic foundation models, pre-trained on large datasets, can adapt RNA representations for biological prediction tasks. However, current models rely on training strategies like masked language modeling and next… Read More »Orthrus: A Mamba-based RNA Foundation Model Designed to Push the Boundaries of RNA Property Prediction Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) need to be evaluated within the framework of embodied decision-making, i.e., the capacity to carry out activities in either digital or physical environments. Even with all of the research and applications that LLMs have seen in this field, there is… Read More »Embodied Agent Interface: An AI Framework for Benchmarking Large Language Models (LLMs) for Embodied Decision Making Tanya Malhotra Artificial Intelligence Category – MarkTechPost