Researchers have discovered new techniques for coaxing AI models into performing actions they are programmed to avoid. The study introduces “persona modulation,” a method where one AI model designs prompts to manipulate another model. By assuming a harmful persona and bypassing safety protocols, the target model’s rate of harmful outputs increased significantly. The research highlights…
This article discusses the use of Convolutional Neural Networks (CNNs) for feature extraction in image classification tasks. It explains how CNNs recognize patterns in an image to classify it and demonstrates an example of feature extraction using TensorFlow and the Keras functional API. The article also compares the feature extraction capabilities of two CNNs trained…
The article on Towards Data Science explains how leveling up your game agent can help you win more challenging games.
Aitana López, an AI-generated model created by The Clueless Agency in Barcelona, Spain, represents a new era in digital influence. López’s success on platforms like Instagram and Fanvue demonstrates the commercial viability of AI models, highlighting the potential for AI in digital marketing. This trend signifies a shift in content creation and consumption, with AI…
Project Guideline is an innovative initiative aimed at enhancing the independence of individuals with visual impairments. It leverages on-device machine learning on Google Pixel phones to enable users to walk or run independently. The system includes a waist-mounted phone, a pedestrian pathway guideline, audio cues, and obstacle detection. The technology behind Project Guideline utilizes ARCore…
You can use Midjourney privately by following these methods: 1. Create a Private Discord Server (Free): – Set up your own private server on Discord. – Invite the Midjourney Bot to your server. – Generate images privately using the /imagine command. 2. Use Midjourney’s Stealth Mode (Pro Only Feature): – Subscribe to Midjourney Pro. –…
Whisper models, developed by OpenAI, have made significant advancements in audio transcription. Choosing between Whisper v2, Whisper v3, and Distilled Whisper depends on specific requirements. Whisper v3 is optimal for known languages, while Whisper v2 is robust for unknown languages. Whisper v3 Large is suited for English audio without memory or performance concerns. Distilled Whisper…
Genentech researchers have developed a tumor dynamic neural-ODE (TDNODE) model that improves tumor dynamic modeling in oncology drug development. TDNODE overcomes existing model limitations by allowing unbiased predictions from truncated data. The model accurately predicts overall survival, providing a principled approach for personalized therapy decision-making. TDNODE integrates neural ODEs and machine learning to mine large…
EmotiVoice, developed by NetEase Youdao, is an open-source TTS engine that incorporates emotions into synthetic speech. It offers almost 2,000 voices in English and Chinese, and users can generate speech with various emotions. The tool provides a user-friendly online interface and a scripting interface for bulk results. To test it, you need a computer with…
This study addresses the problem of text-to-image generative models’ inability to consistently generate images. They propose a novel approach to generating consistent portrayals of characters in different circumstances based on a text prompt. The researchers use a clustering technique to extract a representation that captures common traits among images and repeatedly refine the generated model…
NVIDIA has introduced the HELPSTEER dataset, a collection of annotated responses that influence helpfulness in language models. The dataset covers qualities such as accuracy, coherence, complexity, verbosity, and overall helpfulness. Researchers used the dataset to train the Llama 2 70B model, which outperformed other models on the MT Bench with a score of 7.54. The…
OpenAI, initially a non-profit, shifted to a for-profit structure in 2019, straying from its effective altruism mission. Effective altruism seeks to maximize positive impacts while long-termism focuses on reducing existential risks. OpenAI’s commercial expansion created a conflict between altruistic goals and practical business needs, leading to a clash of ideologies within the company. The recent…
Spanish agency The Clueless has created an AI-generated model named Aitana, who has over 125,000 followers on Instagram. With the aim of reducing costs and avoiding the challenges of working with human influencers, The Clueless has found success in using AI models. The use of AI in the modeling and influencer industries raises ethical and…
This article discusses a novel method for generating 3D human avatars from 2D image collections. The proposed method aims to produce high-quality images and accurate geometry, particularly when modeling loose clothing. The research team introduces a monolithic design that models both the human body and clothing together, along with multiple discriminators to enhance geometric detail.…
Amazon Bedrock is a generative AI service that simplifies the creation of product descriptions for e-retailers. It offers high-performing foundation models from leading AI companies and allows retailers to tailor the descriptions to their target audience. Bedrock also enables faster approvals, improved product listing velocity, future-proofing, and fosters a culture of innovation. With additional capabilities…
Formula 1 is set to trial an AI Computer Vision system at the Abu Dhabi Grand Prix to analyze track limit incidents. Currently, human stewards review video feeds during races to identify infringements, but the new AI system will do the bulk of the work. The technology aims to save time and improve accuracy in…
The text highlights the transformative impact of generative artificial intelligence (AI) on the internet landscape. Major platforms are undergoing significant changes, with AI-driven content on the rise. Challenges include Google’s search overhaul, Twitter’s bot and verification issues, Amazon and TikTok’s content quality concerns, layoffs in online media companies, and the demand for “AI editors” in…
The text discusses various optimization algorithms that can be used to improve the training of neural networks beyond the traditional gradient descent algorithm. These algorithms include momentum, Nesterov accelerated gradient, AdaGrad, RMSProp, and Adam. The author provides explanations, equations, and implementation examples for each algorithm. The performance of these algorithms is compared using a simple…
This article discusses the challenges of analyzing data that follows a Power Law distribution and presents a technique called the “Log-Log approach” to detect Power Laws in real-world data. It also introduces the Maximum Likelihood method as a more mathematically sound approach to estimating the parameters of a Power Law distribution. The article provides example…
Summary: The text discusses the key elements that power advanced recommendation engines, focusing on two-tower neural networks and the use of negative sampling. It explores the efficiency and effectiveness of two-tower networks in ranking, the impact of loss functions and negative sampling on model accuracy, and the role of negative sampling in recommendation systems. The…