​[[{“value”:” Drug-induced toxicity is a major challenge in drug development, contributing significantly to the failure of clinical trials. While efficacy issues account for most failures, safety concerns are the second leading cause, at 24%. Toxicities can affect various organ systems, including the heart, liver, kidneys,… Read More »Researchers at Stanford Introduce UniTox: A Unified Dataset of 2,418 FDA-Approved Drugs with Drug-Induced Toxicity Summaries and Ratings Created by Using GPT-4o to Process FDA Drug Labels Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The ongoing advancement in artificial intelligence highlights a persistent challenge: balancing model size, efficiency, and performance. Larger models often deliver superior capabilities but require extensive computational resources, which can limit accessibility and practicality. For organizations and individuals without access to high-end infrastructure, deploying multimodal… Read More »Meet Ivy-VL: A Lightweight Multimodal Model with Only 3 Billion Parameters for Edge Devices Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In Part 1 of this series, we introduced the newly launched ModelTrainer class on the Amazon SageMaker Python SDK and its benefits, and showed you how to fine-tune a Meta Llama 3.1 8B model on a custom dataset. In this post, we look at… Read More »Accelerate your ML lifecycle using the new and improved Amazon SageMaker Python SDK – Part 2: ModelBuilder Durga Sury AWS Machine Learning Blog

​[[{“value”:” Amazon SageMaker has redesigned its Python SDK to provide a unified object-oriented interface that makes it straightforward to interact with SageMaker services. The new SDK is designed with a tiered user experience in mind, where the new lower-level SDK (SageMaker Core) provides access to… Read More »Accelerate your ML lifecycle using the new and improved Amazon SageMaker Python SDK – Part 1: ModelTrainer Durga Sury AWS Machine Learning Blog

​[[{“value”:” We are excited to announce new features that allow creation of more powerful apps, while giving more governance control using Amazon Q Apps, a capability within Amazon Q Business that allows you to create generative AI-powered apps based on your organization’s data. These features… Read More »Amazon Q Apps supports customization and governance of generative AI-powered apps Tiffany Myers AWS Machine Learning Blog

​[[{“value”:” Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. A large portion of that information is found in text narratives stored in various document… Read More »Answer questions from tables embedded in documents with Amazon Q Business Jiten Dedhia AWS Machine Learning Blog

​[[{“value”:” Language models (LMs) are advancing as tools for solving problems and as creators of synthetic data, playing a crucial role in enhancing AI capabilities. Synthetic data complements or replaces traditional manual annotation, offering scalable solutions for training models in domains such as mathematics, coding,… Read More »This AI Paper from CMU, KAIST and University of Washington Introduces AGORA BENCH: A Benchmark for Systematic Evaluation of Language Models as Synthetic Data Generators Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision-Language Models (VLMs) allow machines to understand and reason about the visual world through natural language. These models have applications in image captioning, visual question answering, and multimodal reasoning. However, most models are designed and trained predominantly for high-resource languages, leaving substantial gaps in… Read More »Meet Maya: An 8B Open-Source Multilingual Multimodal Model with Toxicity-Free Datasets and Cultural Intelligence Across Eight Languages Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Since the Industrial Revolution, burning fossil fuels and changes in land use, especially deforestation, have driven the rise in atmospheric carbon dioxide (CO2). While terrestrial vegetation and oceans serve as natural carbon sinks, absorbing some of this CO2, emissions have consistently outpaced their annual… Read More »Microsoft Research Introduces AI-Powered Carbon Budgeting Method: A Real-Time Approach to Tracking Global Carbon Sinks and Emission Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Google AI Research introduces Gemini 2.0 Flash, the latest iteration of its Gemini AI model. This release focuses on performance improvements, notably a significant increase in speed and expanded multimodal functionality. A key development in Gemini 2.0 Flash is its enhanced processing speed. Google… Read More »Google AI Releases Gemini 2.0 Flash: A New AI Model that is 2x Faster than Gemini 1.5 Pro Aswin Ak Artificial Intelligence Category – MarkTechPost