Meta, Hugging Face, and Scaleway have joined forces to launch an AI startup accelerator at STATION F, offering housing, events, and comprehensive startup programs to support and nurture promising AI ventures.
DeerFlow is a cutting-edge framework that harnesses language models, web search, and Python execution to revolutionize automated research, enabling seamless integration of AI agents, human collaboration, and content creation for groundbreaking discoveries.
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.
A groundbreaking AI assistant named Computer Agent demonstrates remarkable conversational skills and task proficiency, powered by the Hugging Face library, enabling local or cloud deployment with a user-friendly web interface for seamless interaction and customization.
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.
AI shopping assistants are reshaping e-commerce, with consumers embracing them to search and buy products online, prompting Mastercard to unveil Agent Pay, a secure payment solution that leverages AI to facilitate purchases and detect fraud more effectively.
Boston Dynamics' unveiling of its robust electric humanoid Atlas signals an industry shift, with new models like X1 Gamma, Figure 02, and upgraded Unitree H1 showcasing visual and performance upgrades as companies scale up production and deployment of humanoid robots.
Google unveiled the AI Futures Fund, a strategic initiative to empower startups leveraging Google's AI tools, providing early access to models, expert support, cloud credits, and potential investment, while also committing resources for AI education, training, and supporting nonprofits in the field.
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.
Groundbreaking AI technology is revolutionizing mammography screening by accurately triaging low-risk cases, enabling radiologists to focus on high-risk and complex cases, potentially reducing costs by up to 30% through efficient collaboration between AI and human experts.