​ 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

​ In the last few years Large Language Models (LLMs) have risen to prominence as outstanding tools capable of understanding, generating and manipulating text with unprecedented proficiency. Their potential applications span from conversational agents to content generation and information retrieval, holding the promise of revolutionizing… Read More »Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services Sokratis Kartakis AWS Machine Learning Blog

​ Research states computations converting auditory data into linguistic representations are involved in voice perception. The auditory pathway is activated when someone listens to speech, including the primary and nonprimary auditory cortical regions, the auditory nerve, and subcortical structures. Due to environmental circumstances and changing… Read More »Deciphering Auditory Processing: How Deep Learning Models Mirror Human Speech Recognition in the Brain Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. However, the increasing cost associated with training and fine-tuning these models poses… Read More »Accelerate deep learning model training up to 35% with Amazon SageMaker smart sifting Robert Van Dusen AWS Machine Learning Blog