We found 41 results that contain "humanity"
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Posted by
almost 5 years ago

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
Read more: https://www.newscientist.com/article/2261842-military-robots-perform-worse-when-humans-wont-stop-interrupting-them/#ixzz6gJKaKc4z
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Posted by
over 4 years ago

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.
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.
Assessing Learning
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Posted by
over 6 years ago
Reinforcement Learning
Reinforcement learning is a subfield of machine learning in which systems are trained by receiving virtual "rewards" or "punishments," essentially learning by trial and error. Google's DeepMind has used reinforcement learning to beat a human champion in the Go games. Reinforcement learning is also used in video games to improve the gaming experience by providing smarter bot.
One of the most famous algorithms are:
Q-learning
Deep Q network
State-Action-Reward-State-Action (SARSA)
Deep Deterministic Policy Gradient (DDPG)
Reinforcement learning is a subfield of machine learning in which systems are trained by receiving virtual "rewards" or "punishments," essentially learning by trial and error. Google's DeepMind has used reinforcement learning to beat a human champion in the Go games. Reinforcement learning is also used in video games to improve the gaming experience by providing smarter bot.
One of the most famous algorithms are:
Q-learning
Deep Q network
State-Action-Reward-State-Action (SARSA)
Deep Deterministic Policy Gradient (DDPG)
Navigating Context
Posted on: #iteachmsu

Posted by
almost 5 years ago

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.
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.
Navigating Context
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Posted by
almost 5 years ago
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.
Disciplinary Content
Posted on: #iteachmsu

Posted by
almost 5 years ago

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.
Posted on: #iteachmsu

Posted by
almost 5 years ago

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.
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https://iteach-testing.venturit.org/home/home_feed
Posted on: #iteachmsu

Posted by
over 6 years ago

Science and technology is a topic that encompasses science, technology, and the interactions between the two. Science is a systematic enterprise that builds and organizes knowledge in the form of explanations and predictions about nature and the universe. Technology is the collection of techniques, methods or processes used in the production of goods or services or in the accomplishment of objectives, such as scientific investigation, or any other consumer demands.
Science may drive technological development, by generating demand for new instruments to address a scientific question, or by illustrating technical possibilities previously unconsidered. In turn, technology may drive scientific investigation, by creating demand for technological improvements that can only be produced through research, and by raising questions about the underlying principles that a new technology relies on.
For the majority of human history, technological improvements were achieved by chance, trial and error, or spontaneous inspiration. When the modern scientific enterprise matured in the Enlightenment, it primarily concerned itself with basic questions of nature. Research and development directed towards immediate technical application is a relatively recent occurrence, arising with the Industrial Revolution and becoming commonplace in the 20th century.
As academic fields, science and technology are often grouped with engineering and mathematics, as the STEM fields.
Science may drive technological development, by generating demand for new instruments to address a scientific question, or by illustrating technical possibilities previously unconsidered. In turn, technology may drive scientific investigation, by creating demand for technological improvements that can only be produced through research, and by raising questions about the underlying principles that a new technology relies on.
For the majority of human history, technological improvements were achieved by chance, trial and error, or spontaneous inspiration. When the modern scientific enterprise matured in the Enlightenment, it primarily concerned itself with basic questions of nature. Research and development directed towards immediate technical application is a relatively recent occurrence, arising with the Industrial Revolution and becoming commonplace in the 20th century.
As academic fields, science and technology are often grouped with engineering and mathematics, as the STEM fields.
Disciplinary Content