NEWS IN BRIEF: AI/ML FRESH UPDATES

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AI Humility: Preventing Overconfidence in Wrong Answers

Researchers from MIT and the MIT-IBM Watson AI Lab have developed Thermometer, a calibration method tailored to large language models, ensuring accurate and reliable responses across diverse tasks. Thermometer involves building a smaller model on top of the LLM, preserving accuracy while reducing computational costs, ultimately providing users with clear signals to determine a model's reliability.

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.

Supercharging AI with NVIDIA's RTX-Powered Tools

NVIDIA showcases latest AI technologies at SIGGRAPH, including interactive digital human "James" powered by NVIDIA ACE. RTX GPUs drive immersive experiences and AI advancements for creators with enhanced content-creation tools like RTX Video HDR.

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.

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?

Rising Scam Threat: Brace Yourself

AI is making it easier for scammers to fool anyone, even tech-savvy individuals like Arwa Mahdawi in NYC. The story highlights the growing sophistication of AI in perpetuating scams, posing a challenge for individuals to stay vigilant.

ChatGPT wows testers with advanced voice mode

OpenAI introduces Advanced Voice Mode for ChatGPT Plus subscribers, enabling natural, real-time conversations with AI. Users impressed by feature's responsiveness, emotional cues, and realistic voice simulations.

Optimizing GPT-2: Hardware Edition

Summary: Learn how to optimize hardware for faster GPT-2 training on NVIDIA GPUs, with insights on timing code and setting batch sizes for maximum efficiency. Achieve significant speed gains (up to 10x) using an Ampere-series Nvidia GPU.

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.

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.