Training data is the foundational dataset used to teach an artificial intelligence or machine learning model how to perform specific tasks. It contains examples of inputs and their expected outputs, allowing the model to learn patterns, relationships, and decision-making rules. High-quality, diverse training data is critical for building accurate and unbiased AI systems. In supervised learning, data is labeled to guide the model, while in unsupervised learning, the model identifies patterns on its own. The quantity and quality of training data directly impact model performance, making data preparation and curation key steps in any AI development process.
Nvidia CEO Jensen Huang clarified remarks suggesting China would win the AI race, saying the U.S. can stay ahead by innovating faster and empowering global developers.
Pinterest is turning to open source AI models to cut expenses and enhance its visual search and shopping tools, even as the company forecasts softer holiday revenue. CEO Bill Ready says the approach will support performance while keeping infrastructure costs in check.
OpenAI is laying the groundwork for an initial public offering that could value the company at up to $1 trillion, positioning it as one of the most anticipated tech listings in history.
Ark Invest CEO Cathie Wood says humanoid robots could become the most transformative opportunity in artificial intelligence, eclipsing sectors like autonomous transport and healthcare.
Elon Musk has unveiled Grokipedia – an AI-driven encyclopedia built on Grok that aims to offer factual, bias-free knowledge as an alternative to Wikipedia.
A study by the University of Maryland and Microsoft found that Polish outperforms English and other major languages in long-context AI prompts, surprising researchers.
Neobank Revolut has acquired Berlin-based AI travel agent start-up Swifty, integrating its conversational booking technology into Revolut’s loyalty and lifestyle platform for over 65 million users.
Andrew Tulloch, co-founder of the $12 billion AI startup Thinking Machines Lab, has joined Meta after previously rejecting what reports described as a $1.5 billion offer — a figure Meta has since called ‘inaccurate and ridiculous.’
Google has unveiled Gemini Enterprise, a next-generation AI platform designed for business productivity and collaboration, positioning itself directly against Microsoft’s Copilot and OpenAI’s enterprise solutions in the race for workplace AI dominance.
Google Cloud and Figma have launched an expanded partnership to embed Google’s generative AI models – including Gemini 2.5 Flash and Imagen 4 – directly into Figma’s design tools, reducing latency and accelerating creative workflows.