Digital publishers are continuously looking for ways to streamline and automate their media workflows to generate and publish new content as rapidly as they can, but without foregoing quality. Adding images to capture the essence of text can improve the reading experience. Machine learning… Read More »Easily build semantic image search using Amazon Titan Mark Watkins AWS Machine Learning Blog
The risks associated with generative AI have been well-publicized. Toxicity, bias, escaped PII, and hallucinations negatively impact an organization’s reputation and damage customer trust. Research shows that not only do risks for bias and toxicity transfer from pre-trained foundation models (FM) to task-specific generative… Read More »Evaluate large language models for quality and responsibility Ram Vegiraju AWS Machine Learning Blog
Tim O’Reilly forwarded an excellent article about the OpenAI soap opera to me: Matt Levine’s “Money Stuff: Who Controls Open AI.” I’ll skip most of it, but something caught my eye. Towards the end, Levine writes about Elon Musk’s version of Nick Bostrom’s AI… Read More »Strawberry Fields Forever Mike Loukides AI & ML – Radar
The quest to uncover novel crystalline structures in materials has long been a cornerstone of scientific exploration, holding critical implications across diverse industries ranging from electronics to pharmaceuticals. Crystalline materials, defined by their ordered atomic arrangements, play an important role in technological advancements. Identifying… Read More »Researchers from Tokyo University of Science Developed a Deep Learning Model that can Detect a Previously Unknown Quasicrystalline Phase in Materials Science Niharika Singh Artificial Intelligence Category – MarkTechPost
In this age defined by technological innovations and dominated by technological advancements, the field of Artificial Intelligence (AI) has successfully emerged as the driving force behind transforming the way we live and reshaping industries. AI enables computers to think and learn in a manner… Read More »What is Multimodal Artificial Intelligence? Its Applications and Use Cases Tanya Malhotra Artificial Intelligence Category – MarkTechPost
Researchers from Lund University and Halmstad University conducted a review on explainable AI in poverty estimation through satellite imagery and deep machine learning. Emphasizing transparency, interpretability, and domain knowledge, the analysis of 32 papers reveals that these crucial elements in explainable machine learning exhibit… Read More »This AI Research Review Explores the Integration of Satellite Imagery and Deep Learning for Measuring Asset-Based Poverty Adnan Hassan Artificial Intelligence Category – MarkTechPost
In the quickly advancing field of Artificial Intelligence (AI), Deep Learning is becoming significantly more popular and stepping into every industry to make lives easier. Simultaneous Localization and Mapping (SLAM) in AI, which is an essential component of robots, driverless vehicles, and augmented reality… Read More »Researchers from University College London Introduce DSP-SLAM: An Object Oriented SLAM with Deep Shape Priors Tanya Malhotra Artificial Intelligence Category – MarkTechPost
The precise and accurate tracking of user interactions stands as a cornerstone for advancing the capabilities of computer agents. This task plays a pivotal role in developing and training intelligent systems. The effectiveness of these systems, which are intended to mimic cognitive processes and… Read More »Duck AI Introduces DuckTrack: A Multimodal Computer Interaction Data Collector Rachit Ranjan Artificial Intelligence Category – MarkTechPost
EPFL researchers, in collaboration with Apple, have introduced a new approach to speculative sampling called Parallel Speculative Sampling (PaSS). This new approach allows for the drafting of multiple tokens simultaneously using a single model, combining the benefits of auto-regressive generation and speculative sampling. The… Read More »Apple Researchers Introduce Parallel Speculative Sampling (PaSS): A Leap in Language Model Efficiency and Scalability Adnan Hassan Artificial Intelligence Category – MarkTechPost
Data preparation is a crucial step in any machine learning (ML) workflow, yet it often involves tedious and time-consuming tasks. Amazon SageMaker Canvas now supports comprehensive data preparation capabilities powered by Amazon SageMaker Data Wrangler. With this integration, SageMaker Canvas provides customers with an… Read More »Accelerate data preparation for ML in Amazon SageMaker Canvas Changsha Ma AWS Machine Learning Blog