We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. Building safe and beneficial AGI is our mission.

What is AI, and how does it enable machines to perform tasks requiring human intelligence, like speech recognition and decision-making? AI learns and adapts through new data, integrating into daily life via virtual assistants, recommendation algorithms, and self-driving cars.

Dec 19, 2024 · Artificial intelligence (AI) is the theory and development of computer systems capable of performing tasks that historically required human intelligence, such as recognizing speech, making decisions, and identifying patterns.

Artificial intelligence (AI) refers to the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making.

4 days ago · artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.

Dec 20, 2024 · Artificial intelligence (AI) is the process of simulating human intelligence and task performance with machines, such as computer systems. Tasks may include recognizing patterns, making decisions, experiential learning, and natural language processing (NLP).

5 days ago · AI and jobs. How AI will impact jobs has sparked debate and disagreement – as well as worry among workers.AI is already automating many jobs and threatening others.Others see it as creating new opportunities.. Throughout our prior work, the public has been wary about AI’s role in job loss. In our current survey, 64% of the public …

From sparking your creativity to boosting productivity and enriching knowledge & learning, AI makes our products even more helpful. Your personalized AI research assistant. Upload, listen or chat, and learn key insights. Gemini is evolving beyond just AI models.

2 days ago · How AI is Built. The first major step to build an AI model is called training, which can require immense computational speed and scale (or a lot of patience).. By traversing the neural network forward and backward in a rapid-fire feedback loop, and fitting it to known aspects of the dataset, the AI model “learns” internal variables, also …

Discover the AI models behind our most impactful innovations, understand their capabilities, and find the right one when you're ready to build your own AI project.