
<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore Vision Banana, a concept that challenges how vision models learn and generalize from visual data. Instead of focusing purely on performance...


technology
Hosted by Dr. Satya Mallick · technology · EN
This podcast is for AI engineers and researchers. We utilize AI to explain papers and concepts in AI.
Required Pod Score for this podcast. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.
Contact path
Verified email
Booking probability
33%
Guest openness
Selective
Sign up to generate a grounded pitch for Artificial Intelligence : Papers & Concepts.
Signup to Generate a PitchArtificial Intelligence : Papers & Concepts is hosted by Dr. Satya Mallick. The show has published 60 episodes to date.
Recent episodes include "Vision Banana: Rethinking How AI Models See and Generalize" (23 April 2026, 15 minutes), "Position Encoding: How Transformers Understand Order in Data" (22 April 2026, 21 minutes), and "V-JEPA 2.1: Learning Video Understanding Without Labels" (21 April 2026, 21 minutes).
Artificial Intelligence : Papers & Concepts publishes roughly daily, with episodes averaging 18 minutes across 60 episodes.
Booking probability for Artificial Intelligence : Papers & Concepts is 33%, and the host is rated Selective on guests. Artificial Intelligence : Papers & Concepts requires a Pod Score of 80 or higher. Artificial Intelligence : Papers & Concepts's contact route on record: verified email.
The strongest fits for Artificial Intelligence : Papers & Concepts are IT Services & Software Development and Scientific Research & Development. Artificial Intelligence : Papers & Concepts has a technology audience.
Dr. Satya Mallick hosts Artificial Intelligence : Papers & Concepts, a technology podcast with 60 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore Vision Banana, a concept that challenges how vision models learn and generalize from visual data. Instead of focusing purely on performance...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore Position Encoding, a fundamental concept that enables transformer models to understand the order of information. Since transformers process...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore V-JEPA 2.1, a next-generation video learning model that shifts away from traditional supervised training. Instead of relying on labeled...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore Agentic AI Cost, a deep dive into the often-overlooked economics of autonomous AI systems. As AI agents become more capable- planning...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore ChopGrad, a novel technique aimed at improving the efficiency of training deep learning models by selectively simplifying gradient...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore Qwen Image Edit, a multimodal system designed to make image editing more precise, controllable, and aligned with user intent. Instead of...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore Ouro, a new approach to AI that focuses on self-improvement through iterative feedback and learning loops. Instead of relying solely on...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore Mythos, a new approach focused on helping AI systems understand narratives, structure, and meaning within stories. Rather than treating...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore DRCT, a diffusion-based approach to image restoration that focuses on reconstructing high-quality visuals from degraded inputs. Instead of...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore LongCat, a new approach to AI-powered image editing that focuses on handling complex, multi-step instructions with long-context...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore BLIP-2, a powerful vision–language model that connects pretrained image encoders with large language models without requiring expensive...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore the Ultralytics Platform, a unified ecosystem designed to make building, training, and deploying computer vision models faster and more...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore OpenSeeker, an emerging approach to building AI-native search systems that go beyond traditional keyword matching. Instead of retrieving...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore Apple MPS (Metal Performance Shaders), Apple's framework for accelerating machine learning workloads directly on Mac hardware. Designed to...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore LeWorldModel, a new approach to building AI systems that can model and simulate real-world environments. Instead of reacting to inputs...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore V-JEPA 2.1, an advanced video learning model that moves beyond traditional supervised training. Instead of relying on labeled datasets...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore NeRFify, a cutting-edge approach that uses neural radiance fields (NeRFs) to transform 2D images into rich, photorealistic 3D scenes. By...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore Molmo Point, an extension of multimodal AI that focuses on precise visual grounding enabling models to not just describe images, but...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore "Think, Then Lie," a concept that challenges a key assumption in modern AI that better reasoning always leads to more truthful outputs. As...

<p >In this episode of Artificial Intelligence: Papers and Concepts, we explore ReCoSplat, a novel approach to 3D scene reconstruction that leverages sparse visual inputs to generate detailed spatial representations...
PitchCentric classifies Artificial Intelligence : Papers & Concepts under these industries. Guests from them are the closest fit, and each links to the best podcasts in that industry.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
Is this podcast yours and you'd like to remove or correct details? Request removal or email privacy@pitchcentric.com.
Questions about the free trial? See the pricing FAQ