Computer scientists prove that the simplex method, a fundamental optimization algorithm used across industries for 80 years, has reached its theoretical speed limit and cannot be improved further using current approaches.
Sam Altman-backed college startup Campus hires former Meta AI VP Jerome Pesenti as CTO and acquires his 1.7 million-user learning platform Sizzle AI, accelerating their engineering roadmap by 2-3 years as they disrupt community college education with $7,320 annual tuition.
Meta CEO Mark Zuckerberg lures AI startup co-founder Andrew Tulloch away from Mira Murati's Thinking Machines Lab with a staggering $1.5 billion compensation package over six years after failing to acquire the entire company.
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.
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.
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.
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.
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.