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Season 1

1 year ago

S1E22 - The Future of AI: Exploring Language Models and Chatbots with Reza Ardestani

Pushing Boundaries in NLP and Chatbot Development

The Future of AI: Exploring Language Models and Chatbots with Reza Ardestani

In Episode 22 of the AI in Action Podcast, host Dr. Sidney Shapiro engages with Reza Ardestani, a chatbot developer, language model engineer, and data scientist. Reza, a recent MSc graduate from the University of Lethbridge, is known for his innovative work in natural language processing (NLP), machine learning, and AI ethics. Topics covered in this episode:

  • Reza’s recent project developing a language model using Graph Attention Networks at the University of Lethbridge.
  • The role of chatbots and language models in revolutionizing communication, information access, and automation.
  • Insights into essential tools like Python and PyTorch for modern AI development, and
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1 year ago

S1E23 - Neuroscience and AI in Business Innovation with Ryan Rota

Practical Applications of AI and Data Systems Inspired by Neuroscience

Neuroscience and AI in Business Innovation with Ryan Rota

In Episode 23 of the AI in Action Podcast, host Dr. Sidney Shapiro speaks with Ryan Rota, a data architect and neuroscientist with over 14 years of experience in advanced analytics and business data systems. Ryan’s career uniquely bridges neuroscience research and practical AI applications, providing valuable insights into how these fields intersect. Key topics discussed:

  • How Ryan’s background in neuroscience, including neural network mapping and circadian rhythm research, informs his approach to data systems and AI.
  • Current challenges in AI development and where the technology might evolve in the next decade. 
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1 year ago

S1E24 - Leadership and Innovation: A Student's Perspective with Ankit Mukherjee

Exploring AI’s Role in Business and Mentorship Through the Lens of a Young Leader

Leadership and Innovation: A Student's Perspective with Ankit Mukherjee

In Episode 24 of the AI in Action Podcast, host Dr. Sidney Shapiro welcomes Ankit Mukherjee, a dynamic young professional and final-year undergraduate at the University of Lethbridge. Ankit brings a unique perspective, blending his roles as a marketing associate, peer learning mentor, and student leader with his vision for integrating AI into business and education. Key topics covered in this episode:

  • Ankit’s journey balancing academics, leadership, and professional responsibilities.
  • Insights into how AI is reshaping marketing for startups and the broader business landscape.
  • The potential of AI tools to enhance mentorship and educational experiences for students
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1 year ago

S1E25 - AI, Ethics, and Social Justice with Frank Ọnụ

Examining the Role of AI in Tackling Misinformation and Promoting Equity

AI, Ethics, and Social Justice with Frank Ọnụ

In Episode 25 of the AI in Action Podcast, host Dr. Sidney Shapiro sits down with Frank Ọnụ, a doctoral researcher and instructor, to discuss the critical intersections of AI, ethics, and social justice. Frank brings a wealth of expertise in prompt engineering, misinformation, and the broader societal impacts of AI, making him a vital voice in understanding these complex issues. Key topics covered in this episode include:

  • Frank’s journey into research at the crossroads of AI, ethics, and misinformation.
  • The role of AI in amplifying and mitigating misinformation in the digital age.
  • Insights into the "Inclusive Research" initiative, which focuses on increasing access to digital research tools for African scholars. 
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1 year ago

S1E26 - Closing Season One

Exploring AI's Impact, Democratization, and the Path Ahead

Closing Season One with Innovation and Insight

Welcome to the final episode of Season One of AI in Action! In this episode, host Dr. Sidney Shapiro reflects on the transformative journey through the world of artificial intelligence, wrapping up a season packed with insights, innovations, and expert discussions. Key Highlights of the Episode:

  1. The Democratizing Power of AI:
    • AI's ability to simplify complex tasks and empower individuals without technical expertise.
    • Examples of generative AI applications, including coding assistance, app creation, and productivity tools. 
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