​[[{“value”:” The intersection of computational physics and machine learning has brought significant progress in understanding complex systems, particularly through neural networks. Graph neural networks (GNNs) have emerged as powerful tools for modeling interactions within physical systems, capitalizing on their ability to manage data-rich environments. Recently,… Read More »Researchers from Brown University Introduce Symplectic Graph Neural Networks (SympGNNs) to Revolutionize High-Dimensional Hamiltonian Systems Modeling and Overcome Challenges in Energy Conservation and Node Classification Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Speculative decoding is emerging as a vital strategy to enhance high-throughput long-context inference, especially as the need for inference with large language models (LLMs) continues to grow across numerous applications. Together AI’s research on speculative decoding tackles the problem of improving inference throughput for… Read More »Together AI Optimizing High-Throughput Long-Context Inference with Speculative Decoding: Enhancing Model Performance through MagicDec and Adaptive Sequoia Trees Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In computer vision, backbone architectures are critical in image recognition, object detection, and semantic segmentation tasks. These backbones extract local and global features from images, enabling machines to understand complex patterns. Traditionally, convolutional layers have been the primary component in these models, but recent… Read More »LowFormer: A Highly Efficient Vision Backbone Model That Optimizes Throughput and Latency for Mobile and Edge Devices Without Sacrificing Accuracy Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Building on LG AI Research’s remarkable achievements in AI language models, especially with the launch of EXAONE 3.0, the development of EXAONEPath represents another significant milestone. This new chapter in EXAONE’s journey focuses on transforming digital histopathology, a critical area in medical diagnostics, by… Read More »LG AI Research Open-Sources EXAONEPath: Transforming Histopathology Image Analysis with a 285M Patch-level Pre-Trained Model for Variety of Medical Prediction, Reducing Genetic Testing Time and Costs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Medical LLMs like ClinicalCamel 70B and Llama3-OpenBioLLM 70B have shown strong performance in various medical NLP tasks, but no model specifically tailored to the cancer domain currently exists. Additionally, these models, with billions of parameters, are computationally demanding for many healthcare systems. A cancer-focused… Read More »CancerLLM: A Large Language Model in Cancer Domain Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have remarkable capabilities. Nevertheless, using them in customer-facing applications often requires tailoring their responses to align with your organization’s values and brand identity. In this post, we demonstrate how to use direct preference optimization (DPO), a technique that allows you… Read More »Align Meta Llama 3 to human preferences with DPO, Amazon SageMaker Studio, and Amazon SageMaker Ground Truth Anastasia Tzeveleka AWS Machine Learning Blog

​[[{“value”:” State-of-the-art generative AI models and high performance computing (HPC) applications are driving the need for unprecedented levels of compute. Customers are pushing the boundaries of these technologies to bring higher fidelity products and experiences to market across industries. The size of large language models… Read More »Amazon EC2 P5e instances are generally available Avi Kulkarni AWS Machine Learning Blog

​[[{“value”:” This post is co-written with Joe Clark from Domo. Data insights are crucial for businesses to enable data-driven decisions, identify trends, and optimize operations. Traditionally, gaining these insights required skilled analysts using specialized tools, which can make the process slow and less accessible. Generative… Read More »Exploring data using AI chat at Domo with Amazon Bedrock Joe Clark AWS Machine Learning Blog

​[[{“value”:” Apple’s latest release, the iPhone 16, places a strong emphasis on on-device artificial intelligence (AI), powered by its new Apple Intelligence platform. Unlike cloud-reliant AI systems, Apple is focusing on maintaining privacy by processing AI functions directly on the device with the A18 Bionic… Read More »Apple Unveils iPhone 16 with On-Device AI and Apple Intelligence Prompts Shobha Kakkar Artificial Intelligence Category – MarkTechPost