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50 Terms
1
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Smart refrigerator
A connected appliance that can notify users about food expiry or energy usage.
2
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LoRaWAN
A low-power wide-area network protocol designed for long-range communication in IoT.
3
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Unsupervised learning
A machine learning approach that identifies patterns in data without labeled outcomes.
4
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Natural Language Processing
A field of AI focused on understanding and generating human language.
5
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Edge Computing device
A device that processes data near the source, reducing latency in IoT applications.
6
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Early Majority
The group in the technology adoption lifecycle that adopts innovations just after early adopters.
7
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Deepfake
A synthetic media technique that uses AI to generate realistic but fake images, videos, or audio.
8
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Diffusion of Innovations
A theory describing how new technologies spread through societies over time.
9
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Reinforcement learning
An AI learning method where agents learn by receiving rewards or penalties.
10
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Gartner Hype Cycle
A graphical model that shows the maturity and adoption stages of emerging technologies.
11
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Trough of Disillusionment
The stage in the Hype Cycle where expectations fall as technologies fail to deliver early promises.
12
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Plateau of Productivity
The stage in the Hype Cycle where a technology finds practical adoption and value delivery.
13
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Geoffrey Moore
Author of "Crossing the Chasm," he explains how disruptive innovations are adopted in markets.
14
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Supervised learning
A machine learning approach where models learn from input-output pairs (labeled data).
15
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Deep learning
A subset of machine learning that uses neural networks with multiple layers to analyze complex data.
16
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Generative AI
AI capable of creating new content such as text, images, or code based on learned patterns.
17
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Disruptive technology
A technology that fundamentally alters industries by creating new markets or displacing old ones.
18
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Scalability
The ability of a system to handle increased workload or growth efficiently.
19
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Sensor
A device that detects and measures physical properties like temperature, light, or motion.
20
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Innovation Trigger
The initial phase in the Hype Cycle when a technology first generates interest and development.
21
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Industrial IoT
The application of IoT technologies in industrial settings for automation and data-driven processes.
22
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Internet of Things
A network of interconnected physical devices that collect and exchange data over the internet.
23
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Machine learning
A field of AI where systems learn from data to improve their performance on tasks.
24
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Computer vision
An AI field that enables machines to interpret and make decisions based on visual inputs.
25
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Bias
Systematic error in AI models or systems caused by flawed data or design assumptions.
26
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Smart refrigerator
A connected appliance that can notify users about food expiry or energy usage.
27
New cards
LoRaWAN
A low-power wide-area network protocol designed for long-range communication in IoT.
28
New cards
Unsupervised learning
A machine learning approach that identifies patterns in data without labeled outcomes.
29
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Natural Language Processing
A field of AI focused on understanding and generating human language.
30
New cards
Edge Computing device
A device that processes data near the source, reducing latency in IoT applications.
31
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Early Majority
The group in the technology adoption lifecycle that adopts innovations just after early adopters.
32
New cards
Deepfake
A synthetic media technique that uses AI to generate realistic but fake images, videos, or audio.
33
New cards
Diffusion of Innovations
A theory describing how new technologies spread through societies over time.
34
New cards
Reinforcement learning
An AI learning method where agents learn by receiving rewards or penalties.
35
New cards
Gartner Hype Cycle
A graphical model that shows the maturity and adoption stages of emerging technologies.
36
New cards
Trough of Disillusionment
The stage in the Hype Cycle where expectations fall as technologies fail to deliver early promises.
37
New cards
Plateau of Productivity
The stage in the Hype Cycle where a technology finds practical adoption and value delivery.
38
New cards
Geoffrey Moore
Author of "Crossing the Chasm," he explains how disruptive innovations are adopted in markets.
39
New cards
Supervised learning
A machine learning approach where models learn from input-output pairs (labeled data).
40
New cards
Deep learning
A subset of machine learning that uses neural networks with multiple layers to analyze complex data.
41
New cards
Generative AI
AI capable of creating new content such as text, images, or code based on learned patterns.
42
New cards
Disruptive technology
A technology that fundamentally alters industries by creating new markets or displacing old ones.
43
New cards
Scalability
The ability of a system to handle increased workload or growth efficiently.
44
New cards
Sensor
A device that detects and measures physical properties like temperature, light, or motion.
45
New cards
Innovation Trigger
The initial phase in the Hype Cycle when a technology first generates interest and development.
46
New cards
Industrial IoT
The application of IoT technologies in industrial settings for automation and data-driven processes.
47
New cards
Internet of Things
A network of interconnected physical devices that collect and exchange data over the internet.
48
New cards
Machine learning
A field of AI where systems learn from data to improve their performance on tasks.
49
New cards
Computer vision
An AI field that enables machines to interpret and make decisions based on visual inputs.
50
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Bias
Systematic error in AI models or systems caused by flawed data or design assumptions.
Note 
Flashcards (32)