​ Video editing is an essential artificial intelligence (AI) process critical to creating visual content. Video editing involves manipulating, re-arranging, and enhancing video footage to produce a final product with desired characteristics. This process can be time-consuming and labor-intensive, but AI advancements have made editing… Read More »Meet In-N-Out: A Face Video Inversion and Editing Framework with Volumetric Decomposition Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. Sagemaker provides an integrated Jupyter authoring notebook instance for… Read More »Use Snowflake as a data source to train ML models with Amazon SageMaker Amit Arora AWS Machine Learning Blog

​ This post is co-authored with Hernan Figueroa, Sr. Manager Data Science at Marubeni Power International. Marubeni Power International Inc (MPII) owns and invests in power business platforms in the Americas. An important vertical for MPII is asset management for renewable energy and energy storage… Read More »How Marubeni is optimizing market decisions using AWS machine learning and analytics Hernan Figueroa AWS Machine Learning Blog

​ Reinforcement learning (RL) encompasses a class of machine learning (ML) techniques that can be used to solve sequential decision-making problems. RL techniques have found widespread applications in numerous domains, including financial services, autonomous navigation, industrial control, and e-commerce. The objective of an RL problem… Read More »Portfolio optimization through multidimensional action optimization using Amazon SageMaker RL Dilshad Raihan Akkam Veettil AWS Machine Learning Blog

​ Nowadays, constructing a large-scale dataset is the prerequisite to achieving the task in our hands. Sometimes the task is a niche, and it would be too expensive or even not possible to construct a large-scale dataset for it to train an entire model from… Read More »Leveraging TensorLeap for Effective Transfer Learning: Overcoming Domain Gaps Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ Self-supervised learning has recently made significant strides, ushering in a new age for voice recognition. In contrast to earlier studies, which mainly concentrated on enhancing the quality of monolingual models for widely used languages, “universal” models have become more prevalent in more recent research.… Read More »Google AI Introduces Universal Speech Model (USM): A Family of State-of-the-Art Speech Models with 2B Parameters Trained on 12 Million Hours of Speech and 28 Billion Sentences of Text Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Almost every business sector, including translation services, is being transformed by artificial intelligence (AI). As a result of the fact that our globe is very interconnected and home to a staggering variety of languages, translation services are also more crucial than ever. Translation tools… Read More »Top AI Translation Software/Tools (2023) Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

​ The most popular paradigm to solve modern vision tasks, such as image classification/object detection, etc., on small datasets involves fine-tuning the latest pre-trained deep network, which was previously ImageNet-based and is now likely CLIP-based. The current pipeline has been largely successful but still has… Read More »CMU Researchers Introduce Internet Explorer: An AI Approach with Targeted Representation Learning on the Open Web Lorenzo Brigato Artificial Intelligence Category – MarkTechPost

​ As natural language systems become increasingly prevalent in real-life scenarios, these systems must communicate uncertainties properly. Humans often rely on expressions of uncertainty to inform decision-making processes, ranging from bringing an umbrella to starting a course of chemotherapy. However, there is a need for… Read More »A New AI Research from Stanford Explains the Role of Expressions of Overconfidence and Uncertainty in Language Models Niharika Singh Artificial Intelligence Category – MarkTechPost