Hosted by Dr. Satya Mallick · 🇺🇸 US · EN · 60 episodes
Established thought leaders with verified media credentials.
This podcast is for AI engineers and researchers. We utilize AI to explain papers and concepts in AI.
Dr. Satya Mallick hosts Artificial Intelligence : Papers & Concepts, a technology show with 60 episodes published.
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 metr
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 data
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 datasets
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, reasoning
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 computations.
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 generat
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 static t
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 text as
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 relyi
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 understanding. I
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 end-to-e
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 accessib
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 links b
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 lever
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 step-by-s
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, V-JEPA l
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 learnin
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 accurately
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 langu
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. Instead
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Artificial Intelligence : Papers & Concepts is hosted by Dr. Satya Mallick. The show is categorised under technology (education) and has published 60 episodes.
Artificial Intelligence : Papers & Concepts has published 60 episodes.
Artificial Intelligence : Papers & Concepts regularly covers technology, education. It sits in the technology category, with a education focus.
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Episodes of Artificial Intelligence : Papers & Concepts average 18 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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