NEWS IN BRIEF: AI/ML FRESH UPDATES

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The Secret World of The Arcane Network

Learn how to use network science and Python to map out the connections between characters in the popular show Arcane from League of Legends universe on Netflix. By scraping character data and visualizing the network, you can apply these skills to any complex system beyond just the Arcane series.

Revolutionizing AI with Photonic Processors

MIT scientists develop photonic chip for deep neural network computations, achieving high speed and accuracy. The chip could revolutionize deep learning for applications like lidar and high-speed telecommunications.

Mastering AWS DeepRacer Racing

Developers at re:Invent 2024 face unique challenges of physical AWS DeepRacer racing. Transition from virtual to physical racing poses a significant challenge due to differences in environments and car capabilities.

Tiny but Mighty

Concerns grow over environmental impacts of Large Language Models (LLMs). Example: Llama 3.1 405B by Meta requires massive resources, emits tons of CO2. OpenAI faces financial strain with inference costs nearly matching total revenue.

Upgrade to Cohere Rerank 3.5 on Amazon Bedrock!

Cohere releases Rerank 3.5 via Rerank API on Amazon Bedrock, enhancing search relevance and content ranking capabilities for AWS customers. Reranking technology improves search results by analyzing semantic meaning, user intent, and business rules, benefiting ecommerce platforms and global organizations across various sectors.

Community-Centric Data Design

MIT Associate Professor Catherine D’Ignazio applies data to social issues, empowering citizens with data-driven arguments. Her work on feminicide led to innovative AI tools and a book, "Counting Feminicide," raising awareness globally.

Media giants take on OpenAI in billion-dollar lawsuit

Major news organizations in Canada are suing OpenAI for allegedly using their articles to train ChatGPT without permission. The lawsuit seeks punitive damages and a share of profits, demanding an injunction against future use of the articles.