The document contrasts artificial intelligence (AI) with artificial general intelligence (AGI), highlighting that while AI performs specific tasks like summarizing texts, AGI aspires to replicate human cognitive abilities and solve diverse problems independently. It discusses the use of various methodologies in AGI research, including deep learning, natural language processing, and robotics, as well as its applications across sectors like healthcare, finance, and education. The challenges in developing AGI, such as ethical concerns and technical complexities, are also addressed, along with its potential impact on future technologies.

2. AI Vs AGI
Artificial
Intelligence
AI enables software to
perform tasks like humans.
For example, AI
summarizers extract key
points from documents.
Artificial General
Intelligence
AGI systems can solve various
problems like humans, self-
teach, and handle new tasks.
AGI represents AI with broad
human-like cognitive abilities.
AI systems require
substantial training for
specific tasks,
AGI aims to handle unfamiliar
tasks independently.

3. Uses logic networks to
represent human
thoughts, interpreting
ideas at a higher level.
Symbolic
Emulates the human brain
structure with neural
networks, aiming for
human-like intelligence
and low-level cognitive
capabilities.
Connectionist
Combines symbolic and sub-
symbolic methods to achieve
results beyond a single approach.
Hybrid
Address AGI complexities at the
calculation level, formulating
theoretical solutions for practical
AGI systems.
Universalists
AGI
What are Theoretical Approaches To AGI Research?

4. Understand complex patterns
from raw data, like text, audio,
and images
Deep Learning
Generative AI, a subset of
deep learning
Generative AI
NLP allows computers to
understand and generate
human language
NLP
Computer vision lets
systems understand and
analyze visual data
Computer Vision
Robotics involves building
mechanical systems that
can perform physical tasks
Robotics
AGI
What are Technologies Driving AGI Research?

5. AGI systems analyze
medical records for
diagnostics and treatment,
and tailor treatments to
individual genetics.
Healthcare
AGI can transform
investment strategies, risk
management, fraud
detection, and trading with
real-time market analysis.
Finance
AGI can personalize learning by
adapting to each student's
needs, creating tailored
resources, and clarifying
concepts with natural language
processing.
Education
AGI improves manufacturing by
predicting failures, ensuring
quality, and finding efficiency
gains.
Manufacturing
AGI Applications

6. Developing AGI involves overcoming technical complexity, ethical concerns, safety, integration, resource
needs, legal issues, and public trust.
Make
connections
1
Emotional
Intelligence
2
Sensory
Perception
3
Challenges In AGI Research

7. Future of Artificial General Intelligence
Technological Advancements
Convergence of Technologies
Augmented Intelligence:
New Interaction Paradigms
Scientific Discovery Acceleration