​[[{“value”:” Information management and retrieval systems are essential for businesses and organizations, whether for customer support, internal knowledge bases, academic research, or instructional purposes. It can be challenging to manage enormous data volumes while ensuring users can quickly locate what they need. Regarding privacy issues,… Read More »MaxKB: Knowledge-based Question-Answering System based on Large Language Model and RAG Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Accurately transcribing spoken language into written text is becoming increasingly essential in speech recognition. This technology is crucial for accessibility services, language processing, and clinical assessments. However, the challenge lies in capturing the words and the intricate details of human speech, including pauses, filler… Read More »CrisperWhisper: A Breakthrough in Speech Recognition Technology with Enhanced Timestamp Precision, Noise Robustness, and Accurate Disfluency Detection for Clinical Applications Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence is rapidly advancing, with a significant focus on improving models that process and interpret complex datasets, particularly time series data. This type of data involves sequences of data points collected over time and is critical in various fields, including finance, healthcare, and… Read More »A Novel Hybrid Approach Combining Hyperdimensional Vector Computing and Tsetlin Machines for Efficient Sequence Learning, Classification, and Forecasting in High-Dimensional Time Series Data Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Label-efficient segmentation has emerged as a crucial area of research, particularly in point cloud semantic segmentation. While deep learning techniques have advanced this field, the reliance on large-scale datasets with point-wise annotations remains a significant challenge. Recent methods have explored weak supervision, human annotations,… Read More »Enhancing Segmentation Efficiency: A Unified Approach for Label-Limited Learning Across 2D and 3D Data Modalities Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Kubernetes is a popular orchestration platform for managing containers. Its scalability and load-balancing capabilities make it ideal for handling the variable workloads typical of machine learning (ML) applications. DevOps engineers often use Kubernetes to manage and scale ML applications, but before an ML model… Read More »Deploy Amazon SageMaker pipelines using AWS Controllers for Kubernetes Pratik Yeole AWS Machine Learning Blog

​[[{“value”:” Generative artificial intelligence (AI) foundation models (FMs) are gaining popularity with businesses due to their versatility and potential to address a variety of use cases. The true value of FMs is realized when they are adapted for domain specific data. Managing these models across… Read More »Effectively manage foundation models for generative AI applications with Amazon SageMaker Model Registry Chaitra Mathur AWS Machine Learning Blog

​[[{“value”:” Many ecommerce applications want to provide their users with a human-like chatbot that guides them to choose the best product as a gift for their loved ones or friends. To enhance the customer experience, the chatbot need to engage in a natural, conversational manner… Read More »Build an ecommerce product recommendation chatbot with Amazon Bedrock Agents Mahmoud Salaheldin AWS Machine Learning Blog

​[[{“value”:” This post is co-written by Danilo Tommasina and Andrei Voinov from Thomson Reuters. Thomson Reuters (TR) is one of the world’s most trusted information organizations for businesses and professionals. TR provides companies with the intelligence, technology, and human expertise they need to find trusted… Read More »How Thomson Reuters Labs achieved AI/ML innovation at pace with AWS MLOps services Andrei Voinov AWS Machine Learning Blog

​[[{“value”:” Understanding social interactions in complex real-world settings requires deep mental reasoning to infer the underlying mental states driving these interactions, known as the Theory of Mind (ToM). Social interactions are often multi-modal, involving actions, conversations, and past behaviors. For AI to effectively engage in… Read More »MuMA-ToM: A Multimodal Benchmark for Advancing Multi-Agent Theory of Mind Reasoning in AI Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) has increasingly relied on vast and diverse datasets to train models. However, a major issue has arisen regarding these datasets’ transparency and legal compliance. Researchers and developers often use large-scale data without fully understanding its origins, proper attribution, or licensing terms.… Read More »DPExplorer: A Tool for Auditing and Tracing the Provenance of AI Datasets Nikhil Artificial Intelligence Category – MarkTechPost