​ In the paper “COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code,” a team of researchers from UCSD and Microsoft have introduced an innovative tool aimed at addressing the challenge of ensuring accuracy and trust in code generated by large language models (LLMs)… Read More »Researchers from UCSD and Microsoft Introduce ColDeco: A No-Code Inspection Tool for Calculated Columns Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ Dynamic view synthesis is the process of reconstructing dynamic 3D scenes from captured videos and creating immersive virtual playback. This process has been a long-standing research problem in computer vision and graphics, a process that holds significant promise in the field of VR/AR, sports… Read More »A New AI Research from China Proposes 4K4D: A 4D Point Cloud Representation that Supports Hardware Rasterization and Enables Unprecedented Rendering Speed Arham Islam Artificial Intelligence Category – MarkTechPost

​ Transformer models find applications in various applications, ranging from powerful multi-accelerator clusters to individual mobile devices. The varied requirements for inference in these settings make developers train fundamental models like PaLM 2, Llama, and ViTs in different sizes. However, the higher costs associated with… Read More »Meet MatFormer: A Universal Nested Transformer Architecture for Flexible Model Deployment Across Platforms Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ To combine computer-generated visuals or deduce the physical characteristics of a scene from pictures, computer graphics, and 3D computer vision groups have been working to create physically realistic models for decades. Several industries, including visual effects, gaming, image and video processing, computer-aided design, virtual… Read More »Demystifying Generative Artificial Intelligence: An In-Depth Dive into Diffusion Models and Visual Computing Evolution Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ A major objective in the study of Artificial Intelligence is the development of AI systems that can provide useful computer programs to address challenging issues. Much progress has been made in this direction in recent years, especially with the remarkable successes of massive pretrained… Read More »SalesForce AI Introduces CodeChain: An Innovative Artificial Intelligence Framework For Modular Code Generation Through A Chain of Self-Revisions With Representative Sub-Modules Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ In medical imaging, obtaining high-quality images quickly has long hindered the clinical utility of multispectral optoacoustic tomography (MSOT). This cutting-edge technology, which promises to diagnose and evaluate various diseases, including breast cancer and muscular dystrophy, has often been limited by the time-consuming processing required… Read More »A Team of Researchers from Germany has Developed DeepMB: A Deep-Learning Framework Providing High-Quality and Real-Time Optoacoustic Imaging via MSOT Niharika Singh Artificial Intelligence Category – MarkTechPost

​ In the realm of materials science, researchers face the formidable challenge of deciphering the intricate behaviors of substances at atomic scales. Techniques like inelastic neutron or X-ray scattering have provided invaluable insights yet are resource-intensive and complex. The limited availability of neutron sources, coupled… Read More »Harnessing Machine Learning to Revolutionize Materials Research Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Multimodal graph learning is a multidisciplinary field combining concepts from machine learning, graph theory, and data fusion to tackle complex problems involving diverse data sources and their interconnections. Multimodal graph learning can generate descriptive captions for images by combining visual data with textual information.… Read More »CMU Researchers Introduce MultiModal Graph Learning (MMGL): A New Artificial Intelligence Framework for Capturing Information from Multiple Multimodal Neighbors with Relational Structures Among Them Mohammad Arshad Artificial Intelligence Category – MarkTechPost