NEWS IN BRIEF: AI/ML FRESH UPDATES

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Secure API Access with IAM Federation for Amazon Q

Amazon Q Business, powered by generative AI, boosts productivity by answering questions and completing tasks from enterprise systems. Use AWS IAM Identity Center for seamless user access management across multiple Amazon Q Business applications in AWS Organizations.

Charting a Path to U.S. Science Success

White House science advisor Arati Prabhakar discusses U.S. leadership in science and technology, focusing on cancer prevention, climate change, and AI. Prabhakar emphasizes the importance of sustaining global research leadership and accelerating technology movement into the market.

MIT breakthrough: Training more reliable AI agents

MIT researchers have developed a more efficient algorithm for training AI systems to make better decisions in complex tasks with variability, such as traffic control. The new method improves performance by strategically selecting tasks, making it 5-50 times more efficient than standard approaches, ultimately enhancing the AI agent's performance.

AI Jesus: The Future of Faith?

Peter’s chapel in Lucerne replaces priest with AI Jesus speaking 100 languages. Theologian Marco Schmid calls it an experiment to gauge public interest and reactions.

AI-driven Digital Twins Enhance Urban Tree Monitoring

MIT, Google, and Purdue University develop Tree-D Fusion, merging AI and tree-growth models to create 3D urban tree models. Predictive capabilities could revolutionize urban forest management with proactive planning for climate change adaptation.

Ethical AI: Amazon Bedrock Batch Inference

Amazon Bedrock offers high-performing AI models from top companies like AI21 Labs and Meta through a single API. Batch inference in Amazon Bedrock enables cost-effective processing of large data volumes with ethical AI guardrails.

Effortless k-NN Regression in C#

Summary: Microsoft Visual Studio Magazine's November 2024 edition features a demo of k-NN regression using C#, known for simplicity and interpretability. The technique predicts numeric values based on closest training data, with a demo showcasing accuracy and prediction process.