​ Artificial Intelligence (AI) has made significant strides in the past few years with the advancements in Deep Learning (DL) and the advent of Large Language Models (LLMs). Many powerful applications have been developed that are capable of processing enormous amounts of data. Although these… Read More »What are GPU Clusters? Components and Use Cases Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ Diffusion models are at the forefront of generative model research. These models, essential in replicating complex data distributions, have shown remarkable success in various applications, notably in generating intricate and realistic images. They establish a stochastic process that progressively adds noise to data, followed… Read More »This Machine Learning Research from Stanford and Microsoft Advances the Understanding of Generalization in Diffusion Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ The landscape of language models is evolving rapidly, driven by the empirical success of scaling models with increased parameters and computational budgets. In this era of large language models, Mixture-of-Experts (MoE) architecture emerges as a key player, offering a solution to manage computational costs… Read More »DeepSeek-AI Proposes DeepSeekMoE: An Innovative Mixture-of-Experts (MoE) Language Model Architecture Specifically Designed Towards Ultimate Expert Specialization Vineet Kumar Artificial Intelligence Category – MarkTechPost

​ Mark Swinnerton aims to fight climate change by transforming abandoned mines into storage tanks of renewable energy. The CEO of startup Green Gravity is prototyping his ambitious vision in a warehouse 60 miles south of Sydney, Australia, and simulating it in NVIDIA Omniverse, a… Read More »Buried Treasure: Startup Mines Clean Energy’s Prospects With Digital Twins Rick Merritt – Archives Page 1 | NVIDIA Blog

​ Molecular property prediction stands at the forefront of drug discovery and design, which has grown increasingly dependent on advancements in artificial intelligence and machine learning. Traditional methods, while foundational, often need to catch up in their scope, unable to encapsulate the vast and intricate… Read More »This AI Paper from China Proposes SGGRL: A Novel Molecular Representation Learning Model based on the Multi-Modals of Molecules for Molecular Property Prediction Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ The Billion-Scale Approximate Nearest Neighbor Search Challenge, part of the NeurIPS competition track, aims to advance research in large-scale ANNS (Approximate Nearest Neighbor Search).  BigANN is a collaborative arena where the best minds in the field come together to push the boundaries of vector… Read More »Pinecone Algorithms Stack Up Across the BigANN Tracks: Outperforming the Winners by up to 2x Manya Goyal Artificial Intelligence Category – MarkTechPost

​ MLLMs, or multimodal large language models, have been advancing lately. By incorporating images into large language models (LLMs) and harnessing the capabilities of LLMs, MLLMs demonstrate exceptional skill in tasks including visual question answering, instruction following, and image understanding. Studies have seen a significant… Read More »UC Berkeley and NYU AI Research Explores the Gap Between the Visual Embedding Space of Clip and Vision-only Self-Supervised Learning Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ The field of research focuses on integrating machine learning (ML) in healthcare for personalized treatment. This innovative approach aims to revolutionize how we understand and apply medical treatments, shifting from one-size-fits-all solutions derived from traditional clinical trials to more nuanced, individualized care. The essence… Read More »A Review Paper on Personalized Medicine: The Promise of Machine Learning in Individualized Treatment Effect Estimation Sana Hassan Artificial Intelligence Category – MarkTechPost

​ In user-centric applications like personal assistance and customer support, language models are increasingly being deployed as dialogue agents in the rapidly advancing domain of artificial intelligence. These agents are tasked with understanding and responding to various user queries and tasks, a capability that hinges… Read More »AWS Research on Specializing Large Language Models: Leveraging Self-Talk and Automated Evaluation Metrics for Enhanced Training Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost