Article: "Neural Network Quantile Regression Using C#." A unique approach to machine learning regression is quantile regression, particularly useful for scenarios with significant consequences for under-prediction. By utilizing a custom loss function, neural network quantile regression aims to predict values to a specified quantile, offering a promising method for accurate forecasting.
Large language models (LLMs) can now process text, images, and audio, opening up new possibilities in education and business. gpt-4o is the first true multimodal LLM, allowing for natural interaction with video content and creation of personalized learning materials.
ML Uncertainty: a Python package addressing the lack of uncertainty quantification in popular ML software. Designed to estimate uncertainties in predictions with only a few lines of code, making it computationally inexpensive and applicable to real-world scenarios with limited data.
Supply Chain Data Scientist explores LangChain and LangGraph to build AI agents. Leveraging n8n for easy deployment of AI-powered Control Tower in Supply Chain Analytics.
The MIT Maritime Consortium aims to reduce greenhouse gas emissions in the maritime shipping industry through innovative technologies and interdisciplinary research. Led by MIT professors Sapsis and Christia, the consortium includes key industry players and focuses on areas such as nuclear technology, autonomous operation, cybersecurity, and 3D printing for onboard manufacturing.
Generative AI, led by Stability AI's SD3.5 Large model, is transforming game environment creation with high-quality, diverse image generation. This innovation accelerates design cycles and empowers users to create immersive virtual worlds, promising a new era of AI-assisted gaming creativity.
Amazon SageMaker JumpStart offers pre-trained models and new capabilities for organizations to create, manage, and fine-tune their ML models securely. Enhanced private hub features enable enterprises to balance standardization and customization for successful AI implementation.
In a powerful dystopian novel longlisted for the Women’s prize, Sara Hussein is jailed for her potential to commit crimes based on an AI security system. Despite being a seemingly ordinary museum archivist, Sara's "risk score" lands her in a women's retention center where her fate lies in the hands of her guards.
Machine learning engineer explains the role: training, deploying models, and the skills needed. Workflow involves idea, data, research, and analysis to improve models and generate value.
The transition to a standardized approach for AI tool calling, similar to REST APIs, is crucial for order in the industry. Model Context Protocol (MCP) aims to provide context for AI models in a standard way, democratizing tool calling and enhancing system safety.
Artificial intelligence advancements, like OpenAI's GPT-4o models, show potential in understanding and analyzing various images. Tests reveal impressive capabilities in processing complex visual data, offering a glimpse into the future of AI applications.
Fintech firm Block, led by Jack Dorsey, to cut nearly 1,000 jobs and close 800 open positions in second major restructuring in over a year. Dorsey's company, operating CashApp, Square, and Tidal, announces significant changes to its operations, impacting employees and management roles.
23andMe files for bankruptcy as CEO steps down, leaving the fate of genetic data uncertain. Musk faces challenges at Tesla while Nvidia explores AI-powered robotics and AI fiction takes over Instagram.
Richard Osman criticizes Meta for using pirated books to train AI, emphasizing the importance of copyright law. Osman warns writers will challenge Meta's actions.
The Public Accounts Committee warns of risks to government efficiency from outdated technology and digital skills shortages. Over 20 legacy IT systems still lack funding for improvement, hindering AI integration efforts.