SID AI

Safety In Demolition SID AI is developing as of 8/1/2024 with a goal of having an AI site assistant and AI Agent. Please use your browser with its AI assistant to learn more about a word or topic by highlighting the word and right click or left click to search the web. Using the side bar for search is very convenient and many browsers have a pop up tab for "Search". Review your browser search tips.
We advocate
" Responsible AI" and " AI Principles" that are being promoted by leading technology industry developers and users for their search and web sites. This is rapidly developing technology and one way to learn it is to use it.
Answers and Assets generated by artificial intelligence can be generated by your queries.

Cautionary Disclaimer: This is new technology and it does not always work as expected. When this happens it is often refer to as "Hallucinating". Let the AI agent know this is not the response you were looking for and your coordinated efforts will get the results you anticipated. We make no guarrantee's as to the suitability of the generated answers and assets for the user. Use at your own risk.

TIPS:

Be Clear and Specific: The more specific you are with your question, the more accurate and helpful the AI response can be.

Provide Context: If your question is about a complex topic, providing a bit of context can help AI customize a response to your needs.

Ask One Thing at a Time: This helps ensure that each question gets the attention it deserves and makes it easier for AI to provide a focused answer.
Example:

Ask AI: " what is a question?"
Ask AI: " what is a prompt?"
Ask AI: " what is difference between a question and a prompt?"

SID AI Terms ( highlight a term and use your browser and side bar to learn more. Use AI with the term to narrow search down. More terms and sources will be coming.)

Acknowledgement: "We would like to acknowledge the support of Microsoft Copilot for providing research assistance."

Artificial Intelligence (AI)

A

Accuracy
Adversarial Attack

Agentic AI
AI (Artificial Intelligence)
AI Acceptable Use Policy (AUP)
AI Accountability
AI Accounting
AI Adoption rate

AI Audits
AI Agent
AI Algothrithms
AI Automation
AI Autonomous Agent
AI Bias
AI and Due Diligence
AI and Process
AI and Urban Mining
AI Code Assistant
AI Code Tools
AI Company Policy
AI Compliance
AI Detectors
AI eCommerce
AI Enabled Robots
AI Equipment Maintenance
AI Essay Writer
AI Estimating
AI Factories
AI Fluency
AI for DWGR
AI Governance
AI HR
AI Interview Intelligence
AI Inventory Control
AI Model
AI PC
AI Performance
AI Potential Risks
Apprenticeship Learning
AI Predictive
AI Presentation Builder
AI Productivity Impact
AI Proposal Writing
AI Quality Assurance
AI Security
AI Solutions
AI Summarizer
AI Superintelligence
AI Take Off (s)
AI Training
AI Training Data Sets
AI Transformation (s)
Algorithms
Algorithmic Bias
Anthropomorphism
Apps
AR
Artificial General Intellience (AGI)
Artificial Intelligence and Human Interaction
Artificial Intelligence Models
Artificial Solutions
Artificial Validation by a Human
Audio Output
Augmented Knowledge
Automation
Autonomous Agent
Avatars


B
Bench Marks
Bias

C

Catastrophic Forgetting
Causal AI
Chatbot
Cloud AI
ChatGPT
Chat Interface
Command Model
Complex Invariances
Computational Power and Energy
Computer Vision Applications
Consumption
Contaminated Training Data
Compute
Conversational AI
Convolutional Neural Network (CNN)
Copy Right Infringement
Creative Model
Cybersecurity
Cybersecurity Best Practices

Artificial Intelligence (AI)

D

Data
Data Bricks
Data Centric
Data Design
Data Labeling
Data Mining
Data Platform
Data Privacy
Data Quality
Data Scientist
Data Security
Data Transparency
D&TA Data Provenance Standards
Decoder Block
Deep Learning
Deep Learning Model
Deep Networks
Demolition Process
Demolition Robots
Digital Behavoir
Digital Copilots
Digital Human
Diffusion Model
Discriminative AI
DomainExpertise
Drone
Drone AI


E

Embedding
Encoder Block
Enterprise AI
Ethical
Ethical AI

Ethical AI Maturity Model
Explainability
Explainable AI (XAI)

F

False Information
Feature Learning Algorithms
Filtering
Foundational Model
Frontier
Full Stack AL Memory

G

Gen AI
Generative AI
General Data Protection Regulation
Governance Framework
Grandmother Nueron
Green AI


H

Hallucinations
Harm
Harm Bench
Harmful Queries
Human Accountability
Human Interaction
Human in the Loop (HITL)
Hybrid Cloud
Hyperscalers

I

Inference
Inference Computing
Information Synthesis
Interposer
Invariant To Translation

J

K
Knowledge Panel

L


Large Language Models (LLM)
Language Diversity
Large Action Model

Latency
Learn Detector
Learning Representations
Local LLM
Local Receptive Fields


M

Machine Learning
Machine Learning Automated Waste Sorting
Machine Learning Bias
Machine Learning Engineer
ML Model Training
Moore's Law
Multimodal
Model Cross Validation
Model Overfitting
Model Performance
Model Train Test Split
Model Underfitting

N

Natural Language Processing (NLP)
Natural Language Data Labeling
Neural Networks
Artificial Intelligence (AI)

O

Object Recognition
Open Weight Model
Optimized Building
Overfitting


P

Parallelism
Parameters
Performance Metrics
Physical AI
Pooling
Privacy and Data
Privacy Enhancing Technology
Processing Text
Precision and Recall
Programical Logic
Prompt
Prompt Defense
Prompt Engineering
Prompt Tuning
Proprietary Data


Q

R

RAG -Retrieval Augmented Generation
Real World Knowledge
Recurrent Neural Network (RNN)
Red Teaming
Regression
Reinforcement Fine Tuning
Responsible AI (RAI)
Retrieval Augmented Generation
Risk Mitigation (AI)
Robotics
Robotic Waste Management
Rule Based Modeling


S
Safety
Satellites
Self-Taught Learning
Semantic
Sentiment
Sequencing Models
Smart Demolition
Smart Glasses Technology
Smart Phone
Smart Search
Sovereign AI
Stable Diffusion XL
Stacking
Structure Language

Supernode Architecture

Taping Out
Test Time Compute
Thinking Tokens
Tokens
Training Data

Transformer Architecture
Transparency
Trust and Transparency

U

Unbuilding
Underfitting
Unlabeled Data
Unstructured Data
Unstructure Language
Unsupervised Learning
Users Digital Behavoir

V

Vector Enabled Database
Vertical Generative AI
Vipe Coding

Voice Activated Assistants
Voice Recognition

W

Watermark AI

Weather Station
Web Platform to Manage Data

X

Y

Z

Zero Data Retention
Privacy Policy
SID Safety In Demolition does not collect Personal Information. Links to private sources, government agencies, social and public web sites may and you should read their privacy policy and other terms of use. We are not responsible for these sites and sources Privacy Policy. Log files are used as standard industry practice for determing IP addresses, browser type, platform type, click trends, landing and exiting pages, in general , to help with administration of the site. No personal information is collected or used. Cookies may be used temporarily or ongoing for easier web loading and speed. Cookies can be removed by your browser or allowed. This policy is subject to change at anytime so check back when visiting this site. Links and referenced sources may also change their Privacy Policy and it is your responsibility to read them as well.

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