TensorFlow London 11: Gema Parreno 'Use Cases of TensorFlow'

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Use Cases of TensorFlow Speaker: Gema Parreno, Data scientist at BBVA Gema has more than 10 national and international projects for digital product design and had her own videogame startup. She has developed significant Tensorflow use cases and have been awarded by NASA Space Apps Challenge 2016 for a Neural Network Architecture for Asteroid Classification and Impact prediction. Abstract: The talk covers cases of use for TensorFlow, going from Convolutional Neural Nets for image classification, wide+deep learning for recommendation systems and NASA Space apps challenge project. Thanks to all TensorFlow London meetup organisers and supporters: Seldon.io Altoros Rewired Google Developers Rise London

London meetup

What is Tensorflow?

Multidimensional Array
Computational graph

Tensor

Graph

Architecture

MACHINE LEARNING
Neural Nets

NASA Space Apps
Challenge

A
DATASETS
B
EXECUTION OF NEO
RECOGNIZING
PROTOCOL
C
1st LAYER
EVALUATION
D

2nd LAYER
E

DEMO 1

Linear regression
Example

Y= Wx + b

Y= Wx + b
PLACEHOLDERS
Y = tf.placeholder()
X = tf.placeholder()

Y= Wx + b
VARIABLES
W = tf.Variable()
b = tf.Variable()

Pred = tf.add(tf.multiply(X,W), b)

Wide+Deep
Learning

SoyGema
https://soygema.github.io/TensorFlow-GOT/

SoyGema

THANKS!:)

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Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

IAC 2024 - IA Fast Track to Search Focused AI Solutions

IAC 2024 - IA Fast Track to Search Focused AI Solutions

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Enterprise Knowledge

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

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Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

The Digital Insurer

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

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GenCyber Cyber Security Day Presentation

GenCyber Cyber Security Day Presentation

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TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

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Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

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presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

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Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

IAC 2024 - IA Fast Track to Search Focused AI Solutions

IAC 2024 - IA Fast Track to Search Focused AI Solutions

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

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Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

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How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

GenCyber Cyber Security Day Presentation

GenCyber Cyber Security Day Presentation

GenCyber Cyber Security Day Presentation

08448380779 Call Girls In Friends Colony Women Seeking Men

08448380779 Call Girls In Friends Colony Women Seeking Men

08448380779 Call Girls In Friends Colony Women Seeking Men

TensorFlow London 11: Gema Parreno 'Use Cases of TensorFlow'

1. London meetup

2. What is Tensorflow?

3. Multidimensional Array Computational graph

6. Architecture

7. MACHINE LEARNING Neural Nets

8.

9.

10.

11.

12. NASA Space Apps Challenge

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17.

18. A DATASETS B EXECUTION OF NEO RECOGNIZING PROTOCOL C 1st LAYER EVALUATION D

19. 2nd LAYER E

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25. Linear regression Example

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27. Y= Wx + b

28. Y= Wx + b PLACEHOLDERS Y = tf.placeholder() X = tf.placeholder()

29. Y= Wx + b VARIABLES W = tf.Variable() b = tf.Variable()

30. Pred = tf.add(tf.multiply(X,W), b)

31. Wide+Deep Learning

32. SoyGema https://soygema.github.io/TensorFlow-GOT/