​ Although it would be helpful for applications like autonomous driving and mobile robotics, monocular estimation of metric depth in general situations has been difficult to achieve. Indoor and outdoor datasets have drastically different RGB and depth distributions, which presents a challenge. Another issue is… Read More »Google Researchers Unveil DMD: A Groundbreaking Diffusion Model for Enhanced Zero-Shot Metric Depth Estimation Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Agriculture stands as the bedrock of humanity’s sustenance. In this critical realm, the transformative power of machine learning is reshaping the landscape. Specifically in plant pathology, its rapid data analysis revolutionizes disease management, offering efficient solutions for crop protection and heightened productivity. As the… Read More »Revolutionizing Agriculture with AI: A Deep Dive into Machine Learning for Leaf Disease Classification and Smart Farming Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ With the latest advancements in Artificial Intelligence (AI), it is being used in all spheres of life. They are being used for various tasks. Machine vision models are a category of AI that can analyze visual information and make decisions based on that analysis.… Read More »Meet JoyTag: An Inclusive Image Tagging AI Model with Joyful Vision Model Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ In the ever-evolving large language models (LLMs), a persistent challenge has been the need for more standardization, hindering effective model comparisons and impeding the need for reevaluation. The absence of a cohesive and comprehensive framework has left researchers navigating a disjointed evaluation terrain. A… Read More »Microsoft Researchers Introduce PromptBench: A Pytorch-based Python Package for Evaluation of Large Language Models (LLMs) Madhur Garg Artificial Intelligence Category – MarkTechPost

​ In response to the challenging task of generating realistic 3D human-object interactions (HOIs) guided by textual prompts, researchers from Northeastern University, Hangzhou Dianzi University, Stability AI, and Google Research have introduced an innovative solution called HOI-Diff. The intricacies of human-object interactions in computer vision… Read More »Meet HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions Using Diffusion Models Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Generative Large Language Models (LLMs) are well known for their remarkable performance in a variety of tasks, including complex Natural Language Processing (NLP), creative writing, question answering, and code generation. In recent times, LLMs have been run on approachable local systems, including home PCs… Read More »Meet PowerInfer: A Fast Large Language Model (LLM) on a Single Consumer-Grade GPU that Speeds up Machine Learning Model Inference By 11 Times Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Basic information about gene and cell function is revealed by the expression response of a cell to a genetic disturbance. Using a readout of the expression response to a perturbation using single-cell RNA seq (scRNA-seq), perturb-seq is a new method for pooled genetic screens.… Read More »Researchers from Genentech and Stanford University Develop an Iterative Perturb-seq Procedure Leveraging Machine Learning for Efficient Design of Perturbation Experiments Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Deep Neural Networks (DNNs) represent a powerful subset of artificial neural networks (ANNs) designed to model complex patterns and correlations within data. These sophisticated networks consist of multiple layers of interconnected nodes, enabling them to learn intricate hierarchical representations.  DNNs have gained immense prominence… Read More »Can AI Be Both Powerful and Efficient? This Machine Learning Paper Introduces NASerEx for Optimized Deep Neural Networks Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ Antibiotic resistance is a problem for the effectiveness of existing treatments, posing a significant threat. Despite various methods employed in the past to discover new antibiotics, the need for innovative solutions persists. Existing approaches, such as exploring nature, utilizing high-tech screening, and computer-based molecule… Read More »MIT Researchers Find New Class of Antibiotic Candidates Using Deep Learning Niharika Singh Artificial Intelligence Category – MarkTechPost

​ The challenge of seamlessly translating textual prompts or spontaneous scribbles into intricate 3D multi-view wire art has long been a pursuit at the intersection of artificial intelligence and artistic expression. Traditional methods like ShadowArt and MVWA have focused on geometric optimization or visual hull… Read More »Unleashing Creativity with DreamWire: Simplifying 3D Multi-View Wire Art Creation Through Advanced AI Technology Madhur Garg Artificial Intelligence Category – MarkTechPost