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.
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.
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.
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.
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.
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.
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.
Least Squares is essential in machine learning for minimizing Mean Squared Error. L2 norm offers smoothness and computational convenience in Linear Regression optimization.
The Public Accounts Committee warns of risks to government efficiency from outdated technology and digital skills shortages.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.
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.
AI-based PawMatchAI can identify 124 dog breeds by analyzing structured traits like body proportions and fur texture, inspired by human expert recognition methods. Unlike traditional CNNs, this model separates key characteristics for clearer interpretability, revolutionizing AI-based breed identification.
Research from OpenAI and the MIT Media Lab reveals heavy ChatGPT users are lonelier and emotionally dependent on the AI tool. Only a small number engage emotionally, but they rely on it more.
March Madness is known for its unpredictability with 1 in 9.2 quintillion odds of a perfect bracket. Using key metrics like efficiency and momentum can help predict tournament outcomes.
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.
Generative AI enhances PCs with NVIDIA NIM microservices, AI Blueprints, and Project G-Assist for improved accessibility and productivity. NVIDIA NIM offers prepackaged AI models optimized for RTX, simplifying AI development and expanding AI-powered tools for PCs.