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OpenAI has announced a strategic partnership with Broadcom to design and deploy 10 gigawatts of custom AI accelerators, expanding its hardware ecosystem beyond Nvidia and AMD.
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.
An AI technology that converts spoken language into digital text or commands. It powers voice assistants, transcription tools, and hands-free control systems with growing accuracy.
Data without a fixed format, such as text, images, or videos. AI tools use natural language processing and deep learning to extract meaning and insights from this type of data.
A technique that adapts knowledge from one trained model to a new but related task. It speeds up training, improves efficiency, and reduces the need for large datasets.
A learning method where AI improves through trial and error, guided by rewards and penalties. It’s used in robotics, gaming, and autonomous systems to develop adaptive, goal-driven behavior.
A modeling issue where an AI system learns training data too precisely, reducing its ability to generalize. Managing overfitting ensures models perform reliably on new, unseen data.
An AI model inspired by the human brain that processes information through interconnected layers. Neural networks learn from data to recognize patterns, classify objects, and make intelligent decisions.
A branch of AI where computers learn from data to make predictions and improve performance over time. It underpins applications like fraud detection, recommendation engines, and predictive analytics.
A type of AI that learns from recent experiences and data to make decisions. It’s used in technologies like autonomous driving, where context and real-time adaptation are essential.
A type of AI trained on massive text datasets to understand and generate human-like language. LLMs power chatbots, translation tools, and writing assistants, transforming communication and productivity.
An AI capability that enables computers to identify and classify objects within images. It’s used in facial recognition, manufacturing, healthcare, and security systems for automation and insight extraction.
A preset configuration that determines how a machine learning model learns from data. Adjusting hyperparameters like learning rate and depth helps optimize performance and model accuracy.
A powerful AI field that creates new content – from text and code to images and music. It learns from existing data to generate realistic, creative results that are reshaping industries and workflows.
A subset of machine learning that uses multi-layered neural networks to process data. It powers advanced AI applications such as speech recognition, autonomous driving, and generative models that simulate creativity.