Follow AI news, machine learning, robotics, deepfakes, chatbots and real-world applications of artificial intelligence across science and society.
412 published items in this category and its subcategories.
A vision-language-action model, or VLA model, combines visual observations and language instructions with action generation so robots can connect what they see and hear…
Physical AI and embodied AI overlap around perception and action, but they emphasize different questions. Embodied AI focuses on intelligence grounded in a body and envi…
Physical AI combines perception, reasoning, prediction and control so AI systems can understand physical environments and take useful actions through robots, autonomous…
AI agent security focuses on risks created when AI systems can use tools and act on external systems. Key controls include agent identity, authentication, authorization,…
Generative AI is primarily designed to create or transform content, while agentic AI adds goal-directed planning, tool use, actions and feedback loops. Many agentic syst…
A multi-agent system coordinates multiple autonomous agents that communicate or share work toward individual or collective goals. Modern AI systems use this pattern to s…
AI agents and chatbots can both use language models, but an agent is designed to pursue goals and take actions through tools while a chatbot is primarily designed for co…
AI agent examples range from research and coding assistants to workflow, customer-service and operations agents. The key is not the industry label but whether the system…
An AI scientist is an AI-driven research system that can help search literature, form hypotheses, plan analyses or experiments, use scientific tools and evaluate results…
Generative AI can create and transform text, images, code, audio, video and structured data. These examples show where the technology is useful, where human review still…
AI can help drug researchers search chemical space, identify targets, predict molecular properties, design candidate molecules, and prioritize experiments, but laborator…
AI weather models learn patterns from historical atmospheric data and can produce forecasts quickly, complementing the physics-based numerical models used by meteorologi…
Foundation models are AI models trained on broad data so they can be adapted to many downstream tasks rather than being built for only one narrow job.
Large language models are machine-learning models trained on large text collections to predict and generate language, often using the transformer architecture.
AI for science uses machine learning, foundation models and research agents to analyze data, propose models, guide experiments and accelerate parts of scientific discove…