NEWS IN BRIEF: AI/ML FRESH UPDATES

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Empowering Workers for a Brighter AI Future

Tech overlord Sam Altman faces legal battle with Scarlett Johansson over AI voice use in OpenAI's ChatGTP release. Johansson claims her voice was used without consent, highlighting blurred lines between AI and reality.

Mastering PRISM-Rules with Python

PRISM, a rules-induction system, creates concise, interpretable rules for classification models in machine learning. It offers both global and local explanations, making it a valuable tool for understanding data patterns.

Unlocking the Power of Evolutionary Algorithms

Evolutionary Algorithms (EAs) have limited math foundation, leading to lower prestige and limited research topics compared to classical algorithms. EAs face barriers due to simplicity, resulting in fewer rigorous studies and less exploration potential.

Unpacking Anthropic's Sparse Autoencoders 🧠

Anthropic AI explores extracting interpretable features using Sparse Autoencoders, aiming to break down 'polysemanticity' in neural networks. Prof. Tom Yeh's handiworks beautifully explain the workings of these mechanisms.

Enhancing Genomic Language Models with AWS HealthOmics and SageMaker

Genomic language models like HyenaDNA use transformer architecture to interpret DNA language for insights in genomics, healthcare, and agriculture. AWS HealthOmics storage and Amazon Sagemaker enable cost-effective training and deployment of these models, driving innovation in precision medicine and biotechnology.

Grace Hopper Superchip Boosts Murex MX.3 Analytics

Murex, a Paris-based trading software company, is testing NVIDIA's Grace Hopper Superchip for faster and more energy-efficient risk calculations. Grace Hopper offers significant performance improvements, including a 4x reduction in energy consumption and a 7x increase in speed for XVA calculations.