​ Person re-identification (Person Re-ID) is a sophisticated computer vision approach that makes identifying people using surveillance cameras at different places and times easier. Using personal images poses substantial privacy concerns, even though it has a huge potential to improve security and public safety. Since… Read More »Identifiable, But Not Visible: A Privacy-Preserving Person Re-identification Scheme (Paper Summary) Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ Grammarly is an AI-powered writing aid that ensures your writing is error-free and polished. Salesforce is a cloud-based software company that provides CRM (customer relationship management) solutions to businesses of all sizes. Google Analytics is a free service that provides insightful data on how… Read More »Top AI Tools For Entrepreneurs 2023 Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

​ The Vision Transformer (ViT) rapidly replaces convolution-based neural networks because of its simplicity, flexibility, and scalability. A picture is segmented into patches, and each patch is linearly projected to a token, forming the basis of this model. Input photos are usually squared up and… Read More »Google DeepMind Introduces NaViT: A New ViT Model which Uses Sequence Packing During Training to Process Inputs of Arbitrary Resolutions and Aspect Ratios Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Transformer models have been recently gaining a lot of popularity. These neural network models follow relationships in sequential input, such as the words in a sentence, to learn context and meaning. With the introduction of models like GPT 3.5 and GPT 4, proposed by… Read More »A New AI Research From DeepMind Proposes Two Direction And Structure-Aware Positional Encodings For Directed Graphs Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​Novel view synthesis from a single image requires inferring occluded regions of objects and scenes while simultaneously maintaining semantic and physical consistency with the input. Existing approaches condition neural radiance fields (NeRF) on local image features, projecting points to the input image plane, and aggregating… Read More »NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion Apple Machine Learning Research

​We’ve published our joint paper with Google Research in Nature Medicine, which proposes CoDoC (Complementarity-driven Deferral-to-Clinical Workflow), an AI system that learns when to rely on predictive AI tools or defer to a clinician for the most accurate interpretation of medical images. We’ve published our joint… Read More »Developing reliable AI tools for healthcare DeepMind Blog

​ A recent breakthrough in AI has been the significance of scale in driving advances in various domains. Large models have demonstrated remarkable capabilities in language comprehension, generation, representation learning, multimodal tasks, and image generation. With an increasing number of learnable parameters, modern neural networks… Read More »Meet Objaverse-XL: An Open Dataset of Over 10 Million 3D Objects Niharika Singh Artificial Intelligence Category – MarkTechPost

​ At this point, everyone is familiar with text-to-image models. They made their way in with the release of stable diffusion last year, and since then, they have been used in many applications. More importantly, they kept getting better and better to the point where… Read More »No, no, Let’s Not Put it There! This AI Method Can Do Continuous Layout Editing with Diffusion Models Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ The rapid advancements in language models have been primarily attributed to their massive scale, enabling mind-blowing capabilities in various natural language processing tasks. However, a thought-provoking question arises: is scale the only determinant of model performance? A recent study challenges this notion and investigates… Read More »Meet I2D2: A Novel AI Framework for Generating Generic Knowledge from Language Models Using Constrained Decoding and Self-Imitation Learning Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Due to recent technological developments, large language models (LLMs) have performed remarkably well on complex and sophisticated reasoning tasks. This is accomplished by generating intermediate reasoning steps for prompting demonstrations, which is also known as chain-of-thought (CoT) prompting. However, most of the current work… Read More »A New Artificial Intelligence Research Proposes Multimodal Chain-of-Thought Reasoning in Language Models That Outperforms GPT-3.5 by 16% (75.17% → 91.68%) on ScienceQA Khushboo Gupta Artificial Intelligence Category – MarkTechPost