​ The financial services industry is undergoing a significant transformation with the adoption of AI technologies. NVIDIA’s fourth annual State of AI in Financial Services Report provides insights into the current landscape and emerging trends for 2024. The report reveals that an overwhelming 91% of… Read More »AI Takes Center Stage: Survey Reveals Financial Industry’s Top Trends for 2024 Kevin Levitt – Archives Page 1 | NVIDIA Blog

​ The Colossal-AI team has open-sourced Swiftlnfer, a TensorRT-based implementation of the StreamingLLM algorithm. The StreamingLLM algorithm addresses the challenge faced by Large Language Models (LLMs) in handling multi-round conversations. It focuses on the limitations posed by input length and GPU memory constraints. The existing… Read More »Colossal-AI Team Open-Sources SwiftInfer: A TensorRT-Based Implementation of the StreamingLLM Algorithm Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ The existing 2D image editing methods face a substantial amount of limitations as they heavily rely on textual instructions, leading to ambiguity and restricted control. This confined nature of these methods within 2D spaces hinders the direct manipulation of object geometry, resulting in imprecise… Read More »NYU and Intel Researchers Introduce Image Sculpting: A New Artificial Intelligence Framework for Editing 2D Images by Incorporating Tools from 3D Geometry and Graphics Nikhil Artificial Intelligence Category – MarkTechPost

​ Creating visual content using AI algorithms has become a cornerstone of modern technology. AI-generated images (AIGIs), particularly those produced via Text-to-Image (T2I) models, have gained prominence in various sectors. These images are not just digital representations but carry significant value in advertising, entertainment, and… Read More »Q-Refine: A General Refiner to Optimize AI-Generated Images from Both Fidelity and Aesthetic Quality Levels Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ The pursuit of fairness in Large Language Models (LLMs) is the primary concern addressed in recent research that recognizes the distinctive qualities associated with LLM deployment. At the core of the matter lies the imperative task of guaranteeing impartiality in providing services to every… Read More »Meet VTC (Virtual Token Counter): The First Fair Scheduler for Large Language Model LLMs Serving Madhur Garg Artificial Intelligence Category – MarkTechPost

​ In the advancing field of Artificial Intelligence (AI) and Natural Language Processing (NLP), understanding how language models adapt, learn, and retain essential concepts is significant. In recent research, a team of researchers has discussed neuroplasticity and the remapping ability of Large Language Models (LLMs).… Read More »Do Large Language Models (LLMs) Relearn from Removed Concepts? Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Generative Artificial Intelligence, characterized by its focus on creating AI systems capable of human-like responses, innovation, and problem-solving, is undergoing a significant transformation. The field has been revolutionized by innovations like the Gemini model and OpenAI’s Q* project, which emphasize the integration of Mixture… Read More »This Paper Explores Generative AI’s Evolution: The Impact of Mixture of Experts, Multimodal Learning, and AGI on Future Technologies and Ethical Practices Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ In 2023, the field of artificial intelligence witnessed significant advancements, particularly in the field of large language models. The landscape showcased progress, marking an intermediate stage between prior breakthroughs and the anticipation of more powerful advances in the future. Notably, generative AI tools gained… Read More »2023: The Year of Large Language Models LLMs Manya Goyal Artificial Intelligence Category – MarkTechPost

​ Understanding how convolutional neural networks (CNNs) operate is essential in deep learning. However, implementing these networks, especially convolutions and gradient calculations, can be challenging. Many popular frameworks like TensorFlow and PyTorch exist, but their complex codebases make it difficult for newcomers to grasp the… Read More »Meet neograd: A Deep Learning Framework Created from Scratch Using Python and NumPy with Automatic Differentiation Capabilities Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Since it enables humans to teach robots any skill, imitation learning via human-provided demonstrations is a promising approach for creating generalist robots. Lane-following in mobile robots, basic pick-and-place manipulation, and more delicate manipulations like spreading pizza sauce or inserting a battery may all be… Read More »Researchers from Stanford Present Mobile ALOHA: A Low-Cost and Whole-Body Teleoperation System for Data Collection Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost