NEWS IN BRIEF: AI/ML FRESH UPDATES

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Enhancing Salesforce with Amazon SageMaker AI

Salesforce and AWS collaborate to optimize AI model deployment for cost efficiency and performance, leveraging Amazon SageMaker AI. Salesforce AI Platform team tackles challenges of GPU utilization and resource efficiency with innovative strategies on SageMaker AI endpoints.

Choosing the Best Encoding for Neural Networks

Using one-over-n-hot encoding for categorical variables in a neural network shows promising results, with better generalization (95% vs. 90% accuracy) but inconclusive findings. The approach adds information to predictor variables, potentially enhancing prediction accuracy in data analysis tasks.

AI Revolutionizing RNA Therapy Development

MIT researchers use AI to design nanoparticles for efficient RNA therapy delivery, accelerating vaccine development. Novel approach could treat metabolic disorders faster, aided by innovative machine-learning model.

AgentCore Identity: Securing AI at Scale

Introducing Amazon Bedrock AgentCore Identity for AI agents, providing secure access to AWS resources and third-party tools. AgentCore Identity solves complex security challenges for enterprise AI agents, managing identities, credentials, and authentication at scale.

AI-designed compounds combat drug-resistant bacteria

MIT researchers use AI to design novel antibiotics for drug-resistant infections, discovering compounds with unique mechanisms. This groundbreaking approach opens up new possibilities for antibiotic development, potentially combating deadly bacterial infections.

Trump's Science Research Cuts Endanger AI Action Plan

Trump's AI Action Plan aims to boost US dominance over China in AI, but cuts to scientific research funding may undermine progress. Experts warn that cuts to agencies like NIH, NSF, DARPA, and NASA could threaten the research environment that led to AI advancements.

Unlocking Amazon Nova: A Guide to Citations

Large language models (LLMs) can now cite sources, enhancing trust by allowing users to verify information and promoting transparency in AI-generated content. Amazon Nova models demonstrate how citations improve accuracy, trust, ethics, and usability, addressing limitations of LLMs and maintaining professional standards.