NEWS IN BRIEF: AI/ML FRESH UPDATES

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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.

AI Empowers Students with Disabilities: Personalized Pathways

University Startups partners with AWS to create personalized transition plans for students with disabilities, addressing challenges in special education. The program uses Amazon Bedrock to offer tailored guidance without increasing workload for educators, demonstrating successful impact during pilot tests.

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.

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.

Revolutionary NVIDIA NIM Microservice Released!

Black Forest Labs’ FLUX. 1 Kontext [dev] image editing model is now available as an NVIDIA NIM microservice, simplifying generative AI workflows for image editing with simple language prompts. NVIDIA and Black Forest Labs collaborated to optimize the model size and performance, making it accessible to a wider audience for coherent, high-quality image edits.

MIT Revolutionizes Manufacturing

MIT's INM aims to transform manufacturing through technology, talent development, and scaling for higher productivity and resilience. Industry giants like Amgen, GE Vernova, and Siemens are collaborating with MIT to break manufacturing barriers and drive adoption of AI and automation.