​ The search for general-purpose AI systems has facilitated the development of capable end-to-end trainable models, many of which aim to provide a simple natural language interface for a user to engage with the model. Massive-scale unsupervised pretraining followed by supervised multitask training has been… Read More »Researchers from Allen Institute for AI Introduce VISPROG: A Neuro-Symbolic Approach to Solving Complex and Compositional Visual Tasks Given Natural Language Instructions Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Computer-generated animations are becoming more and more realistic every day. This advancement can be best seen in video games. Think about the first Lara Croft in the Tomb Raider series and the most recent Lara Croft. We went from a puppet with 230 polygons… Read More »Take This and Make it a Digital Puppet: GenMM is an AI Model That Can Synthesize Motion Using a Single Example Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ Home Table of Contents DETR Breakdown Part 3: Architecture and Details DETR Architecture 🏗️ CNN Backbone 🦴 Transformer Preprocessing ⚙️ Transformer Encoder 🔄 Transformer Decoder 🔄 Prediction Heads: Feed-Forward Network ➡️🧠 Importance of DETR 🌟 🔁 End-to-End Trainability ⏩ Parallel Decoding for Enhanced Efficiency… Read More »DETR Breakdown Part 3: Architecture and Details Aritra Roy Gosthipaty and Ritwik Raha PyImageSearch

​ In recent years, there has been a rapid development in text-based visual content generation. Trained with large-scale image-text pairs, current Text-to-Image (T2I) diffusion models have demonstrated an impressive ability to generate high-quality images based on user-provided text prompts. Success in image generation has also… Read More »Meet Video-ControlNet: A New Game-Changing Text-to-Video Diffusion Model Shaping the Future of Controllable Video Generation Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ The essence of a rose is made up of its unique geometry, texture, and material composition. This can be used to create roses of varying sizes and shapes in various positions and with a wide range of lighting effects. Even if each rose has… Read More »A New AI Research from Stanford, Cornell, and Oxford Introduces a Generative Model that Discovers Object Intrinsics from Just a Few Instances in a Single Image Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ It is customary in fluid mechanics to distinguish between the Lagrangian and Eulerian flow field formulations. According to Wikipedia, “Lagrangian specification of the flow field is an approach to studying fluid motion where the observer follows a discrete fluid parcel as it flows through… Read More »UC Berkeley And Meta AI Researchers Propose A Lagrangian Action Recognition Model By Fusing 3D Pose And Contextualized Appearance Over Tracklets Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Microsoft researchers introduced a new system called ZeRO++ has been developed to optimize the training of large AI models, addressing the challenges of high data transfer overhead and limited bandwidth. ZeRO++ builds upon the existing ZeRO optimizations and offers enhanced communication strategies to improve… Read More »Microsoft AI Introduces an Advanced Communication Optimization Strategy Built on ZeRO for Efficient Large Model Training, Unhindered by Batch Size or Bandwidth Limitations Niharika Singh Artificial Intelligence Category – MarkTechPost

​ In the past few years, there has been a notable emergence of robust cross-modal models capable of generating one type of information from another, such as transforming text into text, images, or audio. An example is the notable Stable Diffusion, which can generate stunning… Read More »Meet CoDi: A Novel Cross-Modal Diffusion Model For Any-to-Any Synthesis Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ With the increasing popularity of Artificial Intelligence, new models are getting released almost every day with brand-new features and problem-solving capabilities. Researchers in recent times have been focusing on coming up with approaches to strengthen AI models’ resistance to unknown test distributions and lessen… Read More »Addressing AI’s Generalization Gap: Researchers From University College London Propose Spawrious – An Image Classification Benchmark Suite Containing Spurious Correlations Between Classes And Backgrounds Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Modern machine learning relies heavily on optimization to provide effective answers to challenging issues in areas as varied as computer vision, natural language processing, and reinforcement learning. The difficulty of achieving rapid convergence and high-quality solutions largely depends on the learning rates chosen. Applications… Read More »Researchers from Meta AI and Samsung Introduce Two New AI Methods, Prodigy and Resetting, for Learning Rate Adaptation that Improve upon the Adaptation Rate of the State-of-the-Art D-Adaptation Method Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost