In a groundbreaking development, researchers have created an AI model that can autonomously learn to associate audio and visual data from videos without relying on human-labeled data, paving the way for more efficient and scalable multimodal learning approaches.
AI is set to disrupt finance by accelerating product development, while Chime's profitable IPO filing with 8.6M members and Nubank's 40% revenue growth amid challenges in Brazil highlight the industry's dynamic landscape.
Entropy, a measure of disorder and uncertainty in data, holds the key to unlocking optimal machine learning models by guiding feature selection, split criteria, and optimization, ensuring models strike the perfect balance between overfitting and underfitting for peak performance.
VS Code embraces open source AI by releasing the code for GitHub Copilot Chat under MIT license and integrating AI features into its core, enabling community contributions, transparency, and addressing security concerns while maintaining performance and user experience.
AI powerhouse Harvey raises $100M at a $1.5B valuation, backed by Google Ventures, OpenAI, and top VCs, to supercharge its AI-powered technology for professional services across business functions globally.
ROC curves offer a powerful tool for visualizing and optimizing classification model performance by plotting true positive rate against false positive rate across all thresholds, with the area under the curve (AUC) representing the model's ability to distinguish positive and negative examples.
A new analysis warns that the remarkable progress in AI reasoning models, which has driven recent breakthroughs, could hit a roadblock by 2026 due to factors like computing limitations and high research costs, potentially stalling further massive performance gains.
OpenAI's reasoning models like o3 are rapidly improving, but it's uncertain how much further they can scale, with current training compute likely below the frontier but not drastically behind, suggesting potential for continued rapid scaling in the near term before growth slows.
Meta appoints former Google DeepMind director Robert Fergus to rescue its struggling FAIR lab as researchers flee en masse to competitors and the company's own GenAI division.
Researchers unveil a polarization technique to address memory loss, recency bias, and robustness issues in State Space Models, while also tackling the inefficient 'overthinking' behavior of Large Language Models like OpenAI's o1, reducing redundant computations for improved accuracy and efficiency.