OpenAI enables board to ‘override’ the CEO’s model release decisions

Advancements in Healthcare AI Recent developments in healthcare AI, such as medical LLMs and LMMs, show promise in enhancing access to medical advice. However, many of these models primarily focus on English, which limits their effectiveness…

Bark is an open-source AI model created by Suno.ai that can generate realistic, multilingual speech with background noise, music, and sound effects. Unlike typical TTS engines, Bark produces highly natural-sounding audio using a GPT-style architecture.

TokenSet: A Dynamic Set-Based Framework for Semantic-Aware Visual Representation TokenSet: A Dynamic Set-Based Framework for Semantic-Aware Visual Representation Introduction In the realm of visual generation, traditional frameworks often face challenges in effectively compressing and representing images.…

Understanding Artificial Neural Networks (ANNs) Artificial Neural Networks (ANNs) are a game-changing technology in artificial intelligence (AI). They are designed to learn from data, recognize patterns, and make accurate decisions, similar to how the human brain…

The rise of deepfake technology has transformed the landscape of political communication, particularly during election seasons. As artificial intelligence continues to advance, the implications for misinformation and accountability are profound. This article delves into the legal…

Ed Newton-Rex, former VP of Audio at Stability AI, has launched ‘Fairly Trained,’ a non-profit certifying generative AI companies for ethical training data practices, aiming to address concerns over data scraping and copyright infringement. The initiative…

Composio: A Solution for Seamless AI Integration Efficiently integrating AI agents with various applications and tools can be challenging. Traditionally, developers have approached such tasks using individual APIs or creating custom solutions for each integration. These…

Self-Calibrating Conformal Prediction: Enhancing Reliability and Uncertainty Quantification Importance of Reliable Predictions In machine learning, accurate predictions and understanding uncertainty are essential, especially in critical areas like healthcare. **Model calibration** ensures that predictions are trustworthy and…

Understanding the Value of Knowledge Graphs in Finance Knowledge graphs are transforming financial practices, especially in competitor analysis. They efficiently organize complex data to uncover insights and connections between companies, replacing manual methods with scalable solutions.…

Tactile Sensing in Robotics Tactile sensing is essential for robots to interact effectively with their surroundings. However, current vision-based tactile sensors have challenges, such as: Diverse sensor types making universal solutions hard to build. Traditional models…

Hybrid search is a technique that combines traditional keyword-based search with modern vector search to improve the relevance of search results. It can be beneficial for text-search use cases where both keyword matching and semantic search…

Top 10 Python Libraries for Data Analysis Python is the leading language for data analysis because of its simple syntax and powerful libraries. Data scientists use Python for various tasks, including data manipulation, machine learning, and…

Large Language Models (LLMs) for Enterprises Large language models (LLMs) are crucial for businesses, enabling applications like smart document handling and conversational AI. However, companies face challenges such as: Resource-Intensive Deployment: Setting up LLMs can require…

Introduction to GLM-Edge Series The rapid growth of artificial intelligence (AI) has led to the creation of advanced models that understand language and process images. However, using these models on small devices is challenging due to…

NYC Mayor Eric Adams is using AI-generated deepfake technology to make automated robocalls to his city’s residents. The AI creates audio of Adams speaking in various languages, allowing him to reach a wider audience. While practical,…

“Federated learning offers privacy-preserving solutions for developing AI models. However, it also poses significant security risks due to its decentralized nature. Researchers have identified potential vulnerabilities and proposed an AI-driven attack plan targeting social recommendation systems…

Large language models (LLMs) are AI algorithms that use deep learning and vast datasets to comprehend, summarize, synthesize, and anticipate new material. They can internalize accurate and biased information and have knowledge of syntax, semantics, and…