• How AWS Prototyping enabled ICL-Group to build computer vision models on Amazon SageMaker

    ICL, a multinational corporation based in Israel, faced challenges monitoring industrial equipment at their mining sites due to harsh conditions and costly manual monitoring. They partnered with AWS to develop in-house capabilities using machine learning for computer vision, leading to a successful prototype for monitoring mining screeners. This collaboration enabled ICL to build and deploy…

  • Automate PDF pre-labeling for Amazon Comprehend

    Amazon Comprehend is a natural-language processing (NLP) service offering pre-trained and custom APIs for deriving insights from textual data. It allows training custom named entity recognition (NER) models to extract business-specific entities from documents. The pre-labeling tool automates document annotation using existing tabular entity data, reducing manual effort. The tool accelerates custom entity recognition model…

  • Improve your Stable Diffusion prompts with Retrieval Augmented Generation

    Text-to-image generation is a fast-growing field in AI, finding applications in media, gaming, e-commerce, advertising, design, art, and medical imaging. Stable Diffusion and Retrieval Augmented Generation (RAG) are innovative models that simplify and enhance prompt creation for text-to-image generation, increasing efficiency and creativity across various industries. AWS provides diverse LLM options, facilitating the construction of…

  • Streamlining ETL data processing at Talent.com with Amazon SageMaker

    Talent.com, founded in 2011, offers a unified job search platform covering 75+ countries, 30M+ job listings, and various languages and industries. It collaborates with AWS to develop a job recommendation engine using deep learning. The large-scale data processing pipeline handles JSON Lines from S3, extracting and refining features for the recommendation engine. The pipeline significantly…

  • Google DeepMind used a large language model to solve an unsolvable math problem

    Google DeepMind’s new tool, FunSearch, utilizes a large language model to solve a previously unsolved mathematics problem. This approach marks a breakthrough by harnessing large language models for factual discovery in scientific puzzles. FunSearch’s unique methodology of code suggestion and refinement offers potential for diverse problem-solving applications, including the recent success in addressing the bin…

  • Productized Services 101: The One Person Business Killing Freelancers (Employees Are Next)

    The article discusses the rise of the Productized Services model, which is transforming the services industry and posing a threat to freelancers and employees. It explains the concept, advantages over traditional models, and provides steps to implement the model effectively. The Productized Services model is seen as a game-changer in the services industry.

  • Pope Francis Asks for International AI Regulation Treaty

    Pope Francis calls for a legally binding international treaty to regulate artificial intelligence, emphasizing the need for a coordinated global approach to AI regulation. He highlights ethical concerns, specifically in AI weapon systems, stating that autonomous weapon systems cannot be considered morally responsible. The Pope’s message was delivered for the Roman Catholic Church’s World Day…

  • This AI Paper Explores Deep Learning Solutions to Autoregressive Error in Neural Operators for Advanced Spatiotemporal Forecasting

    The research delves into the challenge of extending the forecast horizon in autoregressive neural operators. It highlights instability issues that limit the effectiveness of existing methods, proposing a novel solution that includes dynamic filters generated through a frequency-adaptive MLP. Experimental results demonstrate significant stability improvements. The work showcases a groundbreaking stride in tackling forecast horizon…

  • Deci AI Introduces DeciLM-7B: A Super Fast and Super Accurate 7 Billion-Parameter Large Language Model (LLM)

    Deci has introduced DeciLM-7B, a 7-billion-parameter class language model with high precision and speed, bringing revolutionary changes to various industries. It significantly outperforms its predecessors in accuracy and speed, with potential applications in cost-effective high-volume user interactions. DeciLM-7B, powered by AutoNAC and Infery, exemplifies the future of versatile and efficient AI solutions.

  • This new system can teach a robot a simple household task within 20 minutes

    A new open-source system called Dobb-E can train robots for domestic tasks using real home data, addressing the lack of training data in robotics. Utilizing an iPhone and reacher-grabber stick to collect data, the system achieved an 81% success rate in executing household tasks over 30 days. The team aims to expand Dobb-E’s capabilities.