​[[{“value”:” Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. With the power of intelligent agents, you can simplify… Read More »Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents Piyali Kamra AWS Machine Learning Blog

​[[{“value”:” Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and confidently build, train, and deploy ML models into a production-ready hosted environment. SageMaker provides a broad selection of ML infrastructure and model deployment options to… Read More »Build ultra-low latency multimodal generative AI applications using sticky session routing in Amazon Harish Rao AWS Machine Learning Blog

​[[{“value”:” Google has introduced a groundbreaking innovation called DataGemma, designed to tackle one of modern artificial intelligence’s most significant problems: hallucinations in large language models (LLMs). Hallucinations occur when AI confidently generates information that is either incorrect or fabricated. These inaccuracies can undermine AI’s utility,… Read More »Google AI Introduces DataGemma: A Set of Open Models that Utilize Data Commons through Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG) Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Hume AI has announced the release of Empathic Voice Interface 2 (EVI 2), a major upgrade to its groundbreaking voice-language foundation model. EVI 2 represents a leap forward in natural language processing and emotional intelligence, offering enhanced capabilities for developers looking to create more… Read More »Hume AI Introduces Empathic Voice Interface 2 (EVI 2): New Foundational Voice-to-Voice Model Transforming Human-Like Conversations with Advanced Emotional Intelligence Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Privacy in machine learning is critical, especially when models are trained on sensitive data. Differential privacy (DP) offers a framework to protect individual privacy by ensuring that the inclusion or exclusion of any data point doesn’t significantly affect a model’s output. A key technique… Read More »DPAdapter: A New Technique Designed to Amplify the Model Performance of Differentially Private Machine Learning DPML Algorithms by Enhancing Parameter Robustness Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Few data science projects are exempt from the necessity of cleaning data. Data cleaning encompasses the initial steps of preparing data. Its specific purpose is that only the relevant and useful information underlying the data is retained, be it for its posterior analysis, to… Read More »Automating Data Cleaning Processes with Pandas Iván Palomares Carrascosa MachineLearningMastery.com

​[[{“value”:” Multiobjective optimization (MOO) is pivotal in machine learning, enabling researchers to balance multiple conflicting objectives in real-world applications. These applications include robotics, fair classification, and recommendation systems. In such fields, it is crucial to address the trade-offs between performance metrics, such as speed versus… Read More »LibMOON: A Gradient-Based Multiobjective Optimization Library for Large-Scale Machine Learning Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Predicting At-Risk University Students Using a Machine Learning Algorithm:University education plays a critical role in societal progress, making it essential for students to succeed in their courses and graduate on time. However, many students face academic challenges that lead to course failure, depression, or… Read More »Efficient Prediction of At-Risk University Students Using Reduced Training Vector-Based SVM (RTV-SVM) Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In today’s data-driven world, organizations are overwhelmed with large and diverse datasets that require extensive cleaning, transformation, and analysis to extract meaningful insights. Manual processes can be time-consuming and error-prone, hindering the ability to derive timely and accurate conclusions. Most existing AI integrations in… Read More »Buster: A Modern Analytics Platform for AI-Powered Data Applications Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Multimodal data retrieval is a significant area of research that focuses on managing and retrieving data from multiple sources, such as text, audio, video, and images. As data grows in volume and complexity, especially in sectors like artificial intelligence and big data analytics, retrieving… Read More »MQRLD: A Groundbreaking Platform for Efficient Multimodal Data Retrieval, Offering Transparent Storage, Learned Indexing, and Superior Query Performance Aswin Ak Artificial Intelligence Category – MarkTechPost