Explore AIstify's latest reporting, research, and expert analysis tagged with "artificial intelligence", collected in one continuously updated archive.
NVIDIA has formed the Open Secure AI Alliance with Microsoft, IBM, Palantir, CrowdStrike, and more than 35 other organizations to build open-source defenses for AI agents and software.
NVIDIA is reportedly in advanced talks to provide a roughly $250 billion financing guarantee for a vast OpenAI data center in Ohio, potentially helping the ChatGPT maker secure better terms for one of the largest AI infrastructure projects ever proposed.
YUV color space separates image brightness from color information and is widely used in video compression, cameras, and computer vision pipelines.
Zero-shot learning lets an AI model perform a new task or recognize an unseen category without task-specific labeled examples.
A foundation model is a large, broadly trained AI model that can be adapted or prompted for many different tasks and applications.
A vector database stores embeddings and performs similarity search for semantic retrieval, recommendations, and retrieval-augmented generation.
A transformer is a neural network architecture built on attention and used in modern language, vision, audio, video, and multimodal AI models.
A yottabyte is 10^24 bytes of digital information, a unit used to describe extremely large data volumes relevant to global computing and AI growth.
Symbolic AI represents knowledge with explicit symbols and rules that a system manipulates through logical reasoning.
Temperature is a generative AI setting that adjusts how strongly a model favors likely tokens, influencing output consistency and variation.
Self-supervised learning trains AI models with labels or objectives created from the data itself, reducing dependence on manual annotation.
Semantic search uses embeddings to retrieve information by meaning and context, finding relevant results even when documents use different words.
YOLO (You Only Look Once) is a real-time computer vision approach that detects and classifies multiple objects in one image processing pass.
Synthetic data is artificially generated information used to train, test, or evaluate AI systems when real data is limited, sensitive, or costly.
Fine-tuning adapts a pretrained AI model to a specific task, domain, or behavior by continuing training on targeted examples.