How to parse JSON String in Kotlin? JSON(JavaScript Object Notation) is a very popular data interchange format. This is used extensively in web applications for data transfer between the APIs. Other programming languages also support the JSON format, you first need to parse it… Read More »How to parse JSON in Kotlin? Asif Spark By {Examples}
A group of researchers from the University of Washington, Stanford, AI2, UCSB, and Google recently developed the OpenFlamingo project, which aims to build models similar to those DeepMind’s Flamingo team. OpenFlamingo models can handle any mixed text and image sequences and produce text as… Read More »With Five New Multimodal Models Across the 3B, 4B, and 9B Scales, the OpenFlamingo Team Releases OpenFlamingo v2 which Outperforms the Previous Model Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost
Large Language Models (LLMs) have transformed natural language understanding in recent years, demonstrating remarkable aptitudes in semantic comprehension, query resolution, and text production, particularly in zero-shot and few-shot environments. As seen in Fig. 1(a), several methods have been put forth for using LLMs on… Read More »Contextual AI Introduces LENS: An AI Framework for Vision-Augmented Language Models that Outperforms Flamingo by 9% (56->65%) on VQAv2 Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
The Segment Anything Model (SAM) is a newer proposal in the field. It’s a vision foundation concept that’s been hailed as a breakthrough. It may employ multiple possible user involvement prompts to segment any object in the image accurately. Using a Transformer model that… Read More »Meet FastSAM: The Breakthrough Real-Time Solution Achieving High-Performance Segmentation with Minimal Computational Load Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost
Open-vocabulary object detection is a critical aspect of various real-world computer vision tasks. However, the limited availability of detection training data and the fragility of pre-trained models often lead to subpar performance and scalability issues. To tackle this challenge, the DeepMind research team introduces… Read More »Web-Scale Training Unleashed: Deepmind Introduces OWLv2 and OWL-ST, the Game-Changing Tools for Open-Vocabulary Object Detection, Powered by Unprecedented Self-Training Techniques Niharika Singh Artificial Intelligence Category – MarkTechPost
Cost of poor quality is top of mind for manufacturers. Quality defects increase scrap and rework costs, decrease throughput, and can impact customers and company reputation. Quality inspection on the production line is crucial for maintaining quality standards. In many cases, human visual inspection… Read More »Democratize computer vision defect detection for manufacturing quality using no-code machine learning with Amazon SageMaker Canvas Brajendra Singh AWS Machine Learning Blog
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Artificial Intelligence is evolving with the introduction of Generative AI and Large Language Models (LLMs). Well-known models like GPT, BERT, PaLM, etc., are some great additions to the long list of LLMs that are transforming how humans and computers interact. In image generation, diffusion… Read More »Meet DORSal: A 3D Structured Diffusion Model for the Generation and Object-Level Editing of 3D Scenes Tanya Malhotra Artificial Intelligence Category – MarkTechPost
Large Language Models have transformed Natural Language Processing by showcasing amazing skills like emergence and grokking and driving model size to increase continually. The bar for NLP research is raised by training these models with billions of parameters, such as those with 30B to… Read More »Meet LOMO (LOw-Memory Optimization): A New AI Optimizer that Fuses the Gradient Computation and the Parameter Update in One Step to Reduce Memory Usage Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
Telepresence, virtual try-on, video games, and many more applications that depend on high-fidelity digital humans require the ability to simulate appealing and realistic clothing behavior. Using simulations based on physical laws is a popular method for producing natural dynamic movements. While physical simulation may… Read More »Researchers From ETH Zurich and Max Plank Propose HOOD: A New Method that Leverages Graph Neural Networks, Multi-Level Message Passing, and Unsupervised Training to Enable Efficient Prediction of Realistic Clothing Dynamics Aneesh Tickoo Artificial Intelligence Category – MarkTechPost