Kahun, the evidence-based clinical AI engine for healthcare providers, shares the findings from a new study on the medical capabilities of readily-available large language models (LLMs). The study compared the medical accuracy of OpenAI’s GPT-4 and Anthropic’s Claude3-Opus to each other and human medical experts through questions based on objective medical knowledge drawn from Kahun’s Knowledge Graph.
Revolutionizing Manufacturing: The AI Impact
July 31, 2024 by
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, discusses how AI is revolutionizing the manufacturing industry. This revolution promises to enhance efficiency, reduce costs, and improve overall product quality. We explore the multifaceted impact of AI on manufacturing and how it is reshaping the industry’s landscape.
New KNIME Release Helps Enterprises Scale GenAI While Reducing Risk
July 27, 2024 by
KNIME, one of the leading open-source data science and AI companies, is announcing a new release to help enterprises securely scale their use of GenAI. The new GenAI features allow organizations to access more AI models, govern which AI models are being used by their data science teams, and ensure no leakage of sensitive data.
MIT News: How to Assess a General-purpose AI Model’s Reliability Before It’s Deployed
July 24, 2024 by
Researchers from MIT and the MIT-IBM Watson AI Lab developed a technique to estimate the reliability of foundation models before they are deployed to a specific task. They do this by considering a set of foundation models that are slightly different from one another. Then they use their algorithm to assess the consistency of the representations each model learns about the same test data point. If the representations are consistent, it means the model is reliable.
IOP Publishing Launches Series of Open Access Journals Dedicated to Machine Learning and AI for the Sciences
July 19, 2024 by
IOP Publishing (IOPP) launched a series of open access journals dedicated to the application and development of machine learning (ML) and artificial intelligence (AI) for the sciences. The new multidisciplinary Machine Learning series will collectively cover applications of ML and AI across the physical sciences, engineering, biomedicine and health, and environmental and earth science.
Down on the Digital Farm: How AI is Plowing the Fields of Agricultural Innovation
July 17, 2024 by
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, discusses how AI is transforming the agriculture industry. It’s an exciting time down on the digital farm, and who knows what the future might bring?
IT Pros Vote in Inaugural Brand Leader Survey Covering Enterprise Infrastructure for AI
July 15, 2024 by
IT Brand Pulse, a trusted source for research, data, and analysis about data center infrastructure, announced the results of the 2024 IT Brand Leader Survey covering Enterprise Infrastructure for AI. Generative AI is considered the biggest technology inflection point in human history with hundreds of billions of dollars already invested to create a new universe of hardware, software, systems, and services designed for enterprise AI.
Solo.io Announces Gloo AI Gateway to Address Growing Demand for AI-Driven Use Cases in Application Development
July 12, 2024 by
Solo.io, a leading cloud-native application networking company, announced the release of Gloo AI Gateway, which is designed to meet the emerging use case of accelerating AI innovation.
New Alluxio Enterprise AI Innovations Accelerate GPUs Anywhere with 97%+ GPU Utilization
July 11, 2024 by
Alluxio, the developer of the open-source data platform, announced the immediate availability of the latest enhancements in Alluxio Enterprise AI. Version 3.2 showcases the platform’s capability to utilize GPU resources universally, improvements in I/O performance, and competitive end-to-end performance with HPC storage.
GridGain Advances Its Unified Real-Time Data Platform to Help Enterprises Accelerate AI-Driven Data Processing
July 10, 2024 by
GridGain® announced version 9 of the GridGain Unified Real-Time Data Platform. Building on the proven multi-dimensional data processing and analytics capabilities of version 8, GridGain 9 delivers the most stable, resilient, and high-performant solution for ultra-low latency data applications, powering the extreme speed, scale, durability and reliability critical to modern enterprise use cases and AI.
