We found 41 results that contain "human"

Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, speech recognition, problem-solving, learning, and planning.

The concept that computer programs can automatically learn from and adapt to new data without being assisted by humans. Deep learning techniques enable this automatic learning through the absorption of huge amounts of unstructured data such as text, images, or video.

Military robots perform worse when humans won't stop interrupting them

The System-of-Systems Enhanced Small Unit (SESU) project foresees a team of around 200 to 300 soldiers augmented with swarms of small drones and robotic ground vehicles. The lightly equipped unit would fight in zones where the enemy …

Read more: https://www.newscientist.com/article/2261842-military-robots-perform-worse-when-humans-wont-stop-interrupting-them/#ixzz6gJKaKc4z

Artificial intelligence (AI) aims to or is required to synthesize goal-orientated processes such as problem-solving, decision-making, environmental adaptation, learning, and communication found in humans and animals.
https://www.w3.org/TR/UNDERSTANDING-WCAG20/visual-audio-contrast-scale.html
artificial intelligence research has been necessarily cross-disciplinary, drawing on areas of expertise such as applied mathematics, symbolic logic, semiotics, electrical engineering, neurophysiology, and social intelligence.

How do scientists study ecosystems and grapple with real-world conservation questions?

Learn about ecology and ecosystem dynamics using a systems thinking lens. Authored by world-class experts at the cutting edge of conservation biology, this six-week online course examines how scientists study various ecosystems around the world—from Mozambique's Gorongosa National Park, to the Hudson River in New York, to Caribbean coral reefs. Learners will investigate the complex array of factors that inform management efforts, and grapple with real-world conservation questions, such as whether an ecosystem can recover from disruption and what role humans can, and should, play in that recovery.

Science, technology and innovation each represent a successively larger category of activities which are highly interdependent but distinct. Science contributes to technology in at least six ways: (1) new knowledge which serves as a direct source of ideas for new technological possibilities; (2) source of tools and techniques for more efficient engineering design and a knowledge base for evaluation of feasibility of designs; (3) research instrumentation, laboratory techniques and analytical methods used in research that eventually find their way into design or industrial practices, often through intermediate disciplines; (4) practice of research as a source for development and assimilation of new human skills and capabilities eventually useful for technology; (5) creation of a knowledge base that becomes increasingly important in the assessment of technology in terms of its wider social and environmental impacts; (6) knowledge base that enables more efficient strategies of applied research, development, and refinement of new technologies.

Science, technology and innovation each represent a successively larger category of activities which are highly interdependent but distinct. Science contributes to technology in at least six ways: (1) new knowledge which serves as a direct source of ideas for new technological possibilities; (2) source of tools and techniques for more efficient engineering design and a knowledge base for evaluation of feasibility of designs; (3) research instrumentation, laboratory techniques and analytical methods used in research that eventually find their way into design or industrial practices, often through intermediate disciplines; (4) practice of research as a source for development and assimilation of new human skills and capabilities eventually useful for technology; (5) creation of a knowledge base that becomes increasingly important in the assessment of technology in terms of its wider social and environmental impacts; (6) knowledge base that enables more efficient strategies of applied research, development, and refinement of new technologies.
https://iteach-testing.venturit.org/home/home_feed