NEWS IN BRIEF: AI/ML FRESH UPDATES

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Hollywood Video Game Actors Strike

Video game performers to strike over AI protections after failed negotiations with major studios, including Activision and Warner Bros. Second work stoppage for Sag-Aftra members in nearly two years.

AI and Accelerated Computing: Powering Energy Efficiency

AI and accelerated computing by NVIDIA are enhancing energy efficiency across industries, recognized by Lisbon Council Research. Transitioning to GPU-accelerated systems can save over 40 terawatt-hours of energy annually, with real-world examples like Murex and Wistron showcasing significant gains in energy consumption and productivity.

Uncover Amazon S3 Insights with Q S3 Connector

Amazon Q is a generative AI-powered assistant that can answer questions, provide summaries, and complete tasks using data from various repositories. It offers prebuilt connectors to data sources like Atlassian Jira, Amazon S3, and Salesforce for easy integration and minimal configuration.

Russian Malware Freezes 600 Ukrainian Buildings in Winter

Russia-based hackers targeted a heating utility in Lviv, Ukraine, switching off heat to hundreds of buildings in the midst of winter. Industrial cybersecurity firm Dragos discovered the malware used to directly sabotage the heating infrastructure, leaving civilians in sub-zero temperatures for 48 hours.

Custom Generative AI Models with NVIDIA AI Foundry

NVIDIA AI Foundry helps businesses create custom AI models tailored to their industry needs, with support from leading companies like Amdocs and Capital One. The service includes foundation models, accelerated computing, expert support, and a partner ecosystem to drive AI innovation.

AI: Time to Panic

AI advancements are both thrilling and alarming. Screenwriter tests AI for screenplay, AI suggests improvements. Novel outdated in AI era.

MIT advances AI interpretability

MIT CSAIL researchers developed MAIA, an automated agent that interprets AI vision models, labels components, cleans classifiers, and detects biases. MAIA's flexibility allows it to answer various interpretability queries and design experiments on the fly.

AI Dominance: NVIDIA Sweeps KDD Cup 2024

Team NVIDIA emerged victorious at the Amazon KDD Cup 2024, showcasing their expertise in generative AI across multiple challenging categories, including text generation and name entity recognition. Their innovative approach, using the Qwen2-72B LLM and QLoRA technique, outperformed competitors by fine-tuning models on eight NVIDIA A100 Tensor Core GPUs, demonstrating their ability to handle rea...

Mastering Quantization: A Visual Guide

Large Language Models (LLMs) are too big for consumer hardware, requiring GPUs with large VRAM. Quantization is a key technique to make LLMs smaller, improving efficiency and reducing memory usage.