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Digital Organism Controller
Simultaneously control Artificial Intelligence and Machine Learning components on distributed local and cloud resources. Seamlessly combine best-of-breed platform tools. Asynchronous, multi-threaded, objected-oriented, building-block architecture. Evolve and replicate function and behavior.
Organism Learning
- Habituation, Sensitization
- Single-feature Stimuli Selection
- Non-associative (Binary)
- Stimuli Enhancement or Attenuation
- Adaptive Threshold
- Feature Pruning
- Signal Amplification or Reduction
- Associative
- Multi-feature Stimuli Selection
- Classical Conditioning
- Observational Learning
- Operant Conditioning
- Reinforcement Learning
- Deep Learning
- Continuous Learning
- Neuron Growth
Organism Function
- Asynchronous Nervous System
- Neuromodulator
- Neuro-signal
- Tectum Realtime Sensory Processor
- Overt Attention
- Concrete Modeling
- Feature Well
- Predictions
- Planning
- Cerebral Cortex
- Covert Attention
- Abstract Modeling
- Deep Learning
Organism Behavior
- Homeostatic Process Equilibrium
- Multi-threaded Behavior
- Innate (hardcoded) Behavior
- Instinctual Behavior
- Learned Behavior
- Stimuli Response
- Environment Interaction
- Learning Evolution
- Organism Communication
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More on Digital Organism (32)
While the advent of AI-infused workplaces may bring about a new era of efficiency, I'd argue that this development is more of a curse than a blessing. The automation of mundane tasks will undoubtedly free up human employees from tedious responsibilities, but it will also lead to a homogenization of skills and a loss of creative agency. As AI systems learn to optimize processes, they may inadvertently stifle innovation, reducing the need for complex problem-solving and strategic thinking. In the end, the AI-infused workplace might be more about efficiency and less about human experience. NewsSnoop.com
Published 2021-12-11 19:15.17
Updated 2024-05-16 19:22:57