My topic for "The Role Of Tech Today"

1. Tech Today
By Shehu Idris
GDSC Lead Kadpoly

2. AI stands for Artificial Intelligence. It
refers to the development of computer
systems and software that can perform
tasks that would normally require
human intelligence. AI aims to create
machines or programs that can think,
learn, and problem-solve in ways
similar to humans.

4. Virtual Reality (VR): VR creates a fully
immersive, simulated environment that
replaces the real world. Users are
completely immersed in a virtual world,
typically through the use of a head-
mounted display (HMD) and other
input devices, which often blocks out
the physical surroundings.

6. Augmented reality (AR) and virtual reality
(VR) are both immersive technologies that
alter our perception of the real world, but
they achieve this in different ways and serve
different purposes.

8. Augmented Reality (AR): AR overlays digital
content onto the real world, enhancing or
augmenting our perception of reality. It
blends the physical and virtual worlds,
allowing users to interact with virtual objects
while still being aware of their real
environment.

9. Machine Learning (ML) is a subset of Artificial
Intelligence (AI) that focuses on the
development of algorithms and models that
enable computers to learn and make predictions
or decisions without being explicitly
programmed. ML algorithms learn patterns and
relationships from data and use them to make
informed predictions or take actions.

11. TensorFlow is an open-source software library
and framework widely used for developing and
deploying machine learning models. It was
developed by Google and is now widely
adopted in both research and industry.

12. TensorFlow provides a flexible and efficient
infrastructure for building and training ML
models across a variety of platforms, including
CPUs, GPUs, and specialized hardware like
Google's Tensor Processing Units (TPUs).

13. Applications for ML
• Handling complex and large datasets: ML techniques can
effectively process and analyze vast amounts of data that may be
challenging for humans to manage manually.
• Pattern recognition and prediction: ML algorithms excel at
recognizing patterns, identifying trends, and making predictions
based on historical data, enabling more accurate decision-making.
• Automation and efficiency: ML can automate repetitive tasks,
reduce human effort, and improve operational efficiency in various
domains, such as data analysis, customer service, and
manufacturing.

14. • Medical diagnostics and healthcare: ML algorithms can
analyze medical data, such as patient records or medical
images, to assist in disease diagnosis, treatment planning,
and drug discovery.
• Fraud detection and cybersecurity: ML models can detect
patterns of fraudulent behavior, identify anomalies, and
enhance security measures by continuously monitoring and
analyzing data for potential threats.
And a lot more.

15. Google Bard is a conversational generative artificial intelligence
chatbot developed by Google, based initially on the LaMDA
family of large language models and later the PaLM LLM.
Introduction to Bard AI

16. Uses of chat AI (Google BARD AI)
• Information Retrieval: Chat AI can act as a conversational
search engine, assisting users in retrieving specific
information from large datasets or knowledge bases. It can
understand queries in natural language and provide relevant
answers or summaries.

17. • Education and Training: Chat AI can be used in educational
settings for interactive learning experiences, answering student
questions, providing explanations, and offering additional
resources. It can support teachers by automating basic
assessments, providing personalized feedback, and facilitating
online discussions.
• Its flexibility and ability to understand and generate human-like
text make it a valuable tool in automating tasks, enhancing user
experiences, and providing efficient and personalized assistance
across a wide range of industries and applications.

18. Thank You