​[[{“value”:” In AI, synthesizing linguistic and visual inputs marks a burgeoning area of exploration. With the advent of multimodal models, the ambition to engage the textual with the visual opens up unprecedented avenues for machine comprehension. These advanced models go beyond the traditional scope of… Read More »SuperAGI Proposes Veagle: Pioneering the Future of Multimodal Artificial Intelligence with Enhanced Vision-Language Integration Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The software development sector stands at the dawn of a transformation powered by artificial intelligence (AI), where AI agents perform development tasks. This transformation is not just about incremental enhancements but a radical reimagining of how software engineering tasks are approached, executed, and delivered.… Read More »Microsoft Introduces AutoDev: A Fully Automated Artificial Intelligence-Driven Software Development Framework Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Video understanding is a complex domain that involves parsing and interpreting both the visual content and temporal dynamics within video sequences. Traditional methods like 3D convolutional neural networks (CNNs) and video transformers have made significant strides but often struggle to effectively address both local… Read More »VideoMamba: A Purely SSM-based AI Model for Efficient Video Understanding Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have taken center stage in artificial intelligence, fueling advancements in many applications, from enhancing conversational AI to powering complex analytical tasks. Their crux of functionality lies in their ability to sift through and apply a vast repository of encoded knowledge… Read More »Survey of Knowledge Conflicts in Large Language Models: Pathways to Enhanced Accuracy and Reliability Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:”Posted by Srinivas Sunkara and Gilles Baechler, Software Engineers, Google Research Screen user interfaces (UIs) and infographics, such as charts, diagrams and tables, play important roles in human communication and human-machine interaction as they facilitate rich and interactive user experiences. UIs and infographics share similar… Read More »ScreenAI: A visual language model for UI and visually-situated language understanding Google AI Google AI Blog

​[[{“value”:” In the era of AI-driven transformations and soaring computing demands, NVIDIA launches its Blackwell platform, which emerges as a game-changer. Named after the renowned mathematician David Harold Blackwell, this platform is set to revolutionize AI and HPC with its innovative GPUs, the B100 and… Read More »NVIDIA’s Blackwell GPU Revolution: Unleashing the Next Wave of AI and High-Performance Computing Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​As part of our multi-year collaboration with Liverpool FC, we develop a full AI system that can advise coaches on corner kicks As part of our multi-year collaboration with Liverpool FC, we develop a full AI system that can advise coaches on corner kicks  Read More  

​[[{“value”:” In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations and boosts productivity. However, this progress introduces unique challenges for enterprises navigating data-driven solutions. Industrial facilities grapple with vast volumes… Read More »Unlock the potential of generative AI in industrial operations Julia Hu AWS Machine Learning Blog

​[[{“value”:” Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. Furthermore, the use of prompt engineering can notably enhance their performance. For example, chain-of-thought (CoT) is known to improve a model’s capacity for complex multi-step problems. To… Read More »Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock Lucia Santamaria AWS Machine Learning Blog

​[[{“value”:” Large language models (LLMs) have revolutionized how computers understand and generate human language in machine learning and natural language processing. Central to this revolution is the Transformer architecture, known for its remarkable ability to handle complex textual data. We must overcome significant challenges as… Read More »BurstAttention: A Groundbreaking Machine Learning Framework that Transforms Efficiency in Large Language Models with Advanced Distributed Attention Mechanism for Extremely Long Sequences Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost