Rephonic
Artwork for Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

HackerNoon
Artificial Intelligence
Openai
Large Language Models
Claude Code
Linkedin
Gpt-4b Micro
Chatgpt
AI Ethics
Meta
Quantization
Protein Engineering
Regenerative Medicine
Stem Cell Reprogramming
Retro Biosciences
Augment Code
Microcap Stocks
Ternary Moral Logic
MCP Server
Chatgpt-5
Cursor

Learn the latest machine learning updates in the tech world.

PublishesDailyEpisodes407Founded2 years ago
Number of ListenersCategories
Tech NewsNews

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Artwork for Machine Learning Tech Brief By HackerNoon

Latest Episodes

This story was originally published on HackerNoon at: hackernoon.com/can-chatgpt-outperform-the-market-week-14.

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This story was originally published on HackerNoon at: hackernoon.com/ai-native-data-pipeline-what-do-we-need.

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Key Facts

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Recent Guests

Changtian Ma
Respected competitive programmer and problem-setter
Episode: The End of Fair Play in Coding Contests
Alaina Poya
Managing Director at Data Economy, Founder of Data Natives
Data Economy
Episode: 10 Influential Women in The AI Space
Selena Tirtejana
Co-founder and CEO at Jawsaver
Jawsaver
Episode: 10 Influential Women in The AI Space
Parul Gupta
Senior Engineer at a big tech company
Undisclosed
Episode: 10 Influential Women in The AI Space
Dalma Sabo
Founder and CEO of OH, A Potato
OH, A Potato
Episode: 10 Influential Women in The AI Space
Veal Letta Chekin
Venture Capitalist and Entrepreneur at Viscaylee
Viscaylee
Episode: 10 Influential Women in The AI Space
Hannah Maude
Founder of Fire and Forte
Fire and Forte
Episode: 10 Influential Women in The AI Space
Galio Westler
CEO and co-founder of HumanBeam Technologies
HumanBeam Technologies
Episode: 10 Influential Women in The AI Space
Sharmastha Chatterjee
Vice President of Data and AI at American Express
American Express
Episode: 10 Influential Women in The AI Space

Reviews

5.0 out of 5 stars from 2 ratings
  • Machine learning stories on the go!

    LFG

    Apple Podcasts
    5
    L1f3r2
    United States2 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Reviews highlight the engaging presentation style and depth of knowledge of the hosts.
The podcast is favored for its accessibility, making complex subjects understandable for a broader audience.
Listeners appreciate the insightful and timely information about artificial intelligence developments.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#247
United States/News/Tech News
Apple Podcasts
#192
Canada/News/Tech News
Apple Podcasts
#37
Norway/News/Tech News
Apple Podcasts
#47
Saudi Arabia/News/Tech News
Apple Podcasts
#90
Brazil/News/Tech News
Apple Podcasts
#101
Spain/News/Tech News

Talking Points

Recent interactions between the hosts and their guests.

"We Are Very Early in Our Work With LLMs," - Prem Ramaswami, Head of Data Commons at Google
Q: How do you define trustworthy data in a way that is verifiable and auditable?
Trustworthy data comes from authoritative organizations, with every data point accompanied by detailed metadata for traceability.
"We Are Very Early in Our Work With LLMs," - Prem Ramaswami, Head of Data Commons at Google
Q: Why does MCP matter?
MCP creates an open, standardized way for AI agents and applications to access data sources, improving the reliability of their outputs.
"We Are Very Early in Our Work With LLMs," - Prem Ramaswami, Head of Data Commons at Google
Q: What strategies should AI researchers and builders be leveraging to make AI hallucinate less often?
They should ground AI outputs in trusted, authoritative data sources, ensuring that models return information sourced from reliable databases.
How to Use Sound and AI to Protect the Environment
Q: What does your organization do to help bridge the gap between scientific findings and community applications?
We strive to create practical tools that translate complex research into actionable insights for on-the-ground conservation efforts.
How to Use Sound and AI to Protect the Environment
Q: Can you talk about how your organization approaches collaborating with indigenous communities on AI solutions?
We aim to understand the unique needs of each community and embed ourselves on the ground to provide effective solutions.

Audience Metrics

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Listeners per Episode
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Frequently Asked Questions About This Podcast

What is This Podcast about and what kind of topics does it cover?

Focusing on the latest developments in machine learning and artificial intelligence, episodes cover a diverse range of topics from ethical implications of AI technology to practical engineering strategies for optimizing AI systems. The content is structured around significant themes such as AI ecosystems, advancements in large language models, and real-world applications in domains like healthcare and finance. Each discussion is framed with insights that aim to bridge the gap between technical aspects and their broader societal impacts, providing listeners with actionable knowledge in the evolving tech landscape.

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Which podcasts are similar to this podcast?

These podcasts share a similar audience with this podcast:

1. The Startup Ideas Podcast
2. This Day in AI Podcast
3. The AI Cookbook: AI Tools | Enterprise AI | Leadership

How many episodes of this podcast are there?

this podcast launched 2 years ago and published 407 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on this podcast?

Recent guests on this podcast include:

1. Changtian Ma
2. Alaina Poya
3. Selena Tirtejana
4. Parul Gupta
5. Dalma Sabo
6. Veal Letta Chekin
7. Hannah Maude
8. Galio Westler

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