NEWS IN BRIEF: AI/ML FRESH UPDATES

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Creating GenAI Agents: Autogen vs. LangGraph

GenAI models can automate business processes using agents, combining LLMs with real-time data sources like the NWS API. Autogen, an open-source framework by Microsoft, facilitates the creation of agents for tasks like answering weather-related questions using geocoding and API integration.

Video Game Actors Protest AI Use in Hollywood

Over 300 performers picket at Warner Bros Studios against top gaming companies for neglecting union workers' protection. AI poses a significant challenge in negotiations, says Sag-Aftra national executive director.

New Bill Extends Digital Replication Rights for 70 Years After Death

Senators Coons, Blackburn, Klobuchar, and Tillis introduce the NO FAKES Act to combat unauthorized AI-generated replicas of voices and likenesses. Legislation aims to hold individuals and companies accountable for creating and sharing digital replicas without consent, addressing concerns over the rise of generative AI technology.

Revolutionizing Home Robotics with Real-to-Sim Learning

MIT CSAIL researchers developed RialTo, a system that creates digital twins for training robots in specific environments faster and more effectively. RialTo improved robot performance by 67% in various tasks, handling disturbances and distractions with ease.

Tech Stocks: AI Boom Debate

Investors show uncertainty in tech stocks as Nvidia and Microsoft shares dip, while other chip stocks rise. Fears of overblown AI excitement lead to Nvidia's 7% drop, raising concerns over the direction of growth for key companies.

Striving for Gold: Olympic Performance Optimization

MIT startup Striv developed tactile sensing technology for shoe inserts, used by elite athletes like USA marathoner Clayton Young and Jamaican Olympian Damar Forbes. Founder Axl Chen aims to bring this tech to the public after Paris 2024 Olympics, following success in VR gaming and interest from various industries.

Measuring Success: Classification Model Metrics

Machine learning model predictions in credit card fraud detection evaluated using confusion matrix and metrics. Understanding true positives, false positives, false negatives, and true negatives crucial for model performance assessment.

AI Recipe Fails: A Taste Test Disaster

AI is now writing cookbooks like Teresa J Blair's, with catchy titles and mouthwatering recipes. In just over a week, Teresa published four books, raising the question: Can AI truly replicate human chefs?

Revolutionizing Ride-Hailing with NVIDIA and Zoox

NVIDIA and Zoox CEOs discuss AV innovation and collaboration, highlighting Zoox's unique robotaxi design and use of NVIDIA technology for autonomous capabilities. Zoox's simulation-driven approach, powered by NVIDIA GPUs, accelerates AV development and enhances safety and performance of its robotaxis.

Python Neural Network Anomaly Detection

Implementing a neural network autoencoder for anomaly detection involves normalizing and encoding data to predict input accurately. The process includes creating a network with specific input, output, and hidden nodes, essential for avoiding overfitting or underfitting.

Revolutionizing Japanese LLMs with AWS Trainium

AWS Japan's LLM Development Support Program aids innovative companies in leveraging large language models (LLMs) to drive progress and boost productivity. Ricoh's bilingual LLM training strategy showcases how organizations are transforming possibilities with generative AI on AWS.