Artificial Intelligence : Papers & Concepts
Dr. Satya MallickThis podcast is for AI engineers and researchers. We utilize AI to explain papers and concepts in AI.
| Publishes | Daily | Episodes | 6 | Founded | 2 months ago |
|---|---|---|---|---|---|
| Categories | EducationTechnology | ||||
Listen to this Podcast
Latest Episodes
In this episode, we explore DINOv3, a new self-supervised learning (SSL) vision foundation model from Meta AI Research, emphasizing its ability to scale effortlessly to massive datasets and large architectures without relying on manual data annotatio... more
dots.ocr is a powerful, multilingual document parsing model from rednote-hilab that achieves state-of-the-art performance by unifying layout detection and content recognition within a single, efficient vision-language model (VLM).
Built upon a comp... more
In this episode, we dive deep into DeepSeek-OCR, a cutting-edge open-source Optical Character Recognition (OCR) / Text Recognition model that's redefining accuracy and efficiency in document understanding.
DeepSeek-OCR flips long-context processing... more
"The best ChatGPT that $100 can buy." That's Andrej Karpathy's positioning for nanochat—a compact, end‑to‑end stack that goes from tokenizer training to a ChatGPT‑style web UI in a few thousand lines of Python (plus a tiny Rust tokenizer).
It's mea... more
In this episode of Artificial Intelligence: Papers and Concepts, we explore SmolVLM, a family of compact yet powerful vision language models (VLMs) designed for efficiency.
Unlike large VLMs that require significant computational resources, SmolVLM... more
In this episode, we dig deep into the unglamorous side of AI and computer vision projects — the mistakes, misfires, and blind spots that too often derail even the most promising teams. Based on BigVision.ai's playbook "Common Pitfalls in Computer Vis... more
Key Facts
Similar Podcasts
People also subscribe to these shows.
Top Technology Podcasts
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Gender Skew | Location | Interests | |||
|---|---|---|---|---|---|
| Professions | Age Range | Household Income | |||
| Social Media Reach | |||||
Frequently Asked Questions About This Podcast
Where can I find podcast stats for this podcast?
Rephonic provides a wide range of podcast stats for this podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to this podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
How many listeners does this podcast get?
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for this podcast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
What are the audience demographics for this podcast?
Rephonic provides comprehensive predictive audience data for this podcast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
How many subscribers and views does this podcast have?
To see how many followers or subscribers this podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
Which podcasts are similar to this podcast?
These podcasts share a similar audience with this podcast:
1. a16z Podcast
2. Acquired
3. Huberman Lab
How many episodes of this podcast are there?
this podcast launched 2 months ago and published 6 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact this podcast?
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Where can I see ratings and reviews for this podcast?
Rephonic pulls ratings and reviews for this podcast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
How do I access podcast episode transcripts for this podcast?
Rephonic provides full transcripts for episodes of this podcast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.