NEWS IN BRIEF: AI/ML FRESH UPDATES

Get your daily dose of global tech news and stay ahead in the industry! Read more about AI trends and breakthroughs from around the world

Tailored Languages for Visual AI Efficiency

MIT's Jonathan Ragan-Kelley pioneers efficient programming languages for complex hardware, transforming photo editing and AI applications. His work focuses on optimizing programs for specialized computing units, unlocking maximum computational performance and efficiency.

Tech Unveils Secrets of Ancient Scrolls

AI tools used by researchers in Silicon Valley deciphered an ancient papyrus revealing Plato's final resting place in Athens. The discovery sheds new light on the legendary Greek philosopher's life and legacy.

Pushing Boundaries in Mechanical Engineering

MechE students showcase innovative work in robotics, bioengineering, and sustainable energy. From democratizing design with generative AI to protecting marine life and generating water from air, the future of Mechanical Engineering is limitless.

Universal signs TikTok deal, artists return

TikTok and Universal Music Group resolve disputes, bringing back songs from artists like Olivia Rodrigo and Drake. Content was previously removed over issues including artist compensation and AI-generated music.

Enhancing Customer Satisfaction with Personalized Rewards on Amazon SageMaker

Large language models (LLMs) are increasingly used in AI applications, but customizing responses to align with organizational values poses challenges. Techniques like reward modeling in Amazon SageMaker help tailor LLM outputs to provide unique customer experiences. Human feedback for AI models is subjective, requiring nuanced approaches to improve quality and account for diverse preferences in...

Unleashing Amazon Titan Text Embeddings V2 on Bedrock

Amazon Titan Text Embeddings V2 offers improved features like multi-language support and lower pricing, making it ideal for various AI applications. Customers can now migrate to V2 for enhanced performance and cost-effectiveness in their projects.

Enhanced LLM Performance with Natural Language

MIT CSAIL researchers developed neurosymbolic framework LILO, pairing large language models with algorithmic refactoring to create abstractions for code synthesis. LILO's emphasis on natural language allows it to perform tasks requiring human-like knowledge, outperforming standalone LLMs and previous algorithms.