Apple acquires computer vision startup Prompt AI and its 11-person team after the company shuts down its Seemour security camera app, beating out competitors xAI and Neuralink to secure UC Berkeley AI researchers for likely integration into HomeKit smart home technology.
A shocking new study reveals 96% of companies see no return on investment from AI implementations despite productivity gains, with only 4% achieving ROI by focusing on company-wide transformation instead of isolated departmental use.
Billionaire Mark Cuban harnesses OpenAI's Sora platform to generate AI videos of himself promoting his pharmaceutical company Cost Plus Drugs, with the viral clips featuring him delivering promotional messages and dancing garnering tens of thousands of views as a cost-free marketing experiment.
Docker launches Model Runner tool that enables developers to package and deploy fine-tuned AI models using LoRA technology, which dramatically reduces compute requirements by adding small adapter layers while keeping base models frozen.
Revolutionary Tabular Foundation Models now outperform traditional data science methods like XGBoost by instantly making predictions on any structured dataset without retraining, using breakthrough in-context learning trained on millions of synthetic tables to deliver superior accuracy and robustness.
New research reveals AI models from DeepSeek and Google become significantly more risk-averse when prompted to act as women, potentially perpetuating economic disparities in loan approvals and investment decisions by reinforcing gender biases in financial decision-making.
AI coding tools now write 95% or more of the code for a quarter of Y Combinator's startup clients, raising alarm that junior developers may lose essential problem-solving skills by bypassing traditional debugging and manual coding experience that builds programming expertise.
Stanford researchers unveil OpenTSLM, a groundbreaking AI model that crushes GPT-4o in medical analysis by 350%, achieving 92.9% accuracy in ECG interpretations while using 60% less computing power and providing human-readable explanations for complex medical time-series data.
IBM Research unveils Granite-Docling-258M, a powerful 258-million parameter open-source AI model that converts complex documents to text while preserving layouts, tables, and equations, featuring improved stability and experimental multilingual support for Arabic, Chinese, and Japanese languages.
Sentient AI releases ROMA, an open-source framework that breaks complex AI tasks into hierarchical trees, achieving 45.6% accuracy on reasoning benchmarks while outperforming Google's Gemini 2.5 Pro by more than double.