NEWS IN BRIEF: AI/ML FRESH UPDATES

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Revolutionizing Material Predictions with AI

Researchers from MIT developed a new machine-learning framework to predict phonon dispersion relations 1,000 times faster than other AI-based techniques, aiding in designing more efficient power generation systems and microelectronics. This breakthrough could potentially be 1 million times faster than traditional non-AI approaches, addressing the challenge of managing heat for increased efficie...

Boost AI Training with NeMo on Amazon EKS

The NVIDIA NeMo Framework simplifies distributed training of large language models, optimizing for efficiency and scalability. Amazon EKS is recommended for managing NVIDIA NeMo, offering robust integrations and performance features for running training workloads.

Embracing AI: The Future of Art

Tate Modern's Electric Dreams exhibition explores artists embracing AI as opportunity, not threat, showcasing their longstanding relationship with technology. Director Catherine Wood highlights the symbiosis between art and technology, emphasizing their enduring connection.

GloVe Embeddings: The Key to Codenames Hacking

Using a GloVe embedding-based algorithm, achieve 100% accuracy in the game "Codenames" by automating the roles of spymaster and operative. Representing word meaning with pre-trained GloVe embeddings to maximize accuracy in decoding clues and choosing words efficiently.

VerifAI: Biomedical QA with Verified Answers

VerifAI project, funded by the EU, creates a unique generative search engine for biomedical domain using LLMs. Focus on hallucination detection sets it apart from other RAG-based products, addressing the issue of misleading text.