​ Advancements in Artificial Intelligence (AI) and Deep Learning have brought a great transformation in the way humans interact with computers. With the introduction of diffusion models, generative modeling has shown remarkable capabilities in various applications, including text generation, picture generation, audio synthesis, and video… Read More »Meet DeepCache: A Simple and Effective Acceleration Algorithm for Dynamically Compressing Diffusion Models during Runtime Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ The researchers from The University of Hong Kong, Alibaba Group, and Ant Group developed LivePhoto to solve the issue of temporal motions being overlooked in current text-to-video generation studies. LivePhoto enables users to animate images with text descriptions while reducing ambiguity in text-to-motion mapping.… Read More »This AI Research from The University of Hong Kong and Alibaba Group Unveils ‘LivePhoto’: A Leap Forward in Text-Controlled Video Animation and Motion Intensity Customization Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ In vision, the Segment Anything Model (SAM) has achieved remarkable success, attaining cutting-edge results in numerous image segmentation tasks, including zero-shot object proposal generation, zero-shot instance segmentation, and edge detection, among other practical uses. The SA-1B visual dataset, which contains over a billion masks… Read More »Meta AI Presents EfficientSAM: SAM’s Little Brother with 20x Fewer Parameters and 20x Faster Runtime Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ How can we improve CLIP for more focused and controlled image understanding and editing? Researchers from Shanghai Jiao Tong University, Fudan University, The Chinese University of Hong Kong, Shanghai AI Laboratory, University of Macau, and MThreads Inc. propose Alpha-CLIP that aims to address the… Read More »This AI Research Unveils Alpha-CLIP: Elevating Multimodal Image Analysis with Targeted Attention and Enhanced Control” Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Efficiently tackling complex optimization problems, ranging from global package routing to power grid management, has been a persistent challenge. Traditional methods, notably mixed-integer linear programming (MILP) solvers, have been the go-to tools for breaking down intricate problems. However, their drawback lies in the computational… Read More »Researchers from MIT and ETH Zurich Developed a Machine-Learning Technique for Enhanced Mixed Integer Linear Programs (MILP) Solving Through Dynamic Separator Selection Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) are recent innovations in the field of Artificial Intelligence (AI) and Deep Learning. Some of the well-known LLMs, like GPT, PaLM, LLaMa, etc, have demonstrated incredible potential in generating content. From question answering and text summarization to language translation and… Read More »Researchers from AI2 and the University of Washington Uncover the Superficial Nature of Alignment in LLMs and Introduce URIAL: A Novel Tuning-Free Method Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ This research tackles an inherent challenge in Claude 2.1‘s functionality: its reluctance to answer questions based on individual sentences within its extensive 200K token context window. This hesitancy poses a significant hurdle in maximizing the model’s recall capacity, prompting the exploration of a solution.… Read More »Recent Anthropic Research Tells that You can Increase LLMs Recall Capacity by 70% with a Single Addition to Your Prompt: Unleashing the Power of Claude 2.1 through Strategic Prompting Madhur Garg Artificial Intelligence Category – MarkTechPost

​ How can missing portions of a 3D capture be effectively completed? This research paper from Google Research and UC Berkeley introduces “NeRFiller,” a novel approach for 3D inpainting, which addresses the challenge of reconstructing incomplete 3D scenes or objects often missing due to reconstruction… Read More »This AI Paper from Google and UC Berkeley Introduces NeRFiller: An Artificial Intelligence Approach that Revolutionizes 3D Scene Reconstruction Using 2D Inpainting Diffusion Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​ How can high-quality 3D reconstructions be achieved from a limited number of images? A team of researchers from Columbia University and Google introduced ‘ReconFusion,’ An artificial intelligence method that solves the problem of limited input views when reconstructing 3D scenes from images. It addresses… Read More »Columbia and Google Researchers Introduce ‘ReconFusion’: An Artificial Intelligence Method for Efficient 3D Reconstruction with Minimal Images Sana Hassan Artificial Intelligence Category – MarkTechPost