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.
IOP Publishing Launches Series of Open Access Journals Dedicated to Machine Learning and AI for the Sciences
July 19, 2024 by Leave a Comment
Down on the Digital Farm: How AI is Plowing the Fields of Agricultural Innovation
July 17, 2024 by Leave a Comment
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 Leave a Comment
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 Leave a Comment
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 Leave a Comment
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 Leave a Comment
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.
The Rise of Embedded Analytics and Embedded AI: Proportional Business Value at Last?
July 10, 2024 by Leave a Comment
In this contributed article, Artyom Keydunov, co-founder and CEO of Cube, believes that although business intelligence (BI) solutions have gone a long way to make more data available to non-technical users, challenges remain. With a universal semantic layer, organizations can create curated, intuitive data experiences that are more accessible than ever, enabling users to derive far more value from enterprise data.
Embracing the Future: Generative AI for Executives
July 9, 2024 by Leave a Comment
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, believes that as generative AI continues to evolve, its potential applications across industries are boundless. For executives, understanding the foundational concepts of transformers, LLMs, self-attention, multi-modal models, and retrieval-augmented generation is crucial.
How Organizations Can Avoid AI Sticker Shock
July 5, 2024 by Leave a Comment
In this contributed article, Chris Opat, Backblaze senior vice president of cloud operations, highlights how companies can innovate with AI while staying within the budget by understanding the type of AI you’re training, its latency requirements, the quantities of training data, and what third-party data you’ll need.
Webinar: Getting Started with Llama 3 on AMD Radeon and Instinct GPUs
July 5, 2024 by Leave a Comment
[Sponsored Post] This webinar: “Getting Started with Llama 3 on AMD Radeon and Instinct GPUs” provides a guide to installing Hugging Face transformers, Meta’s Llama 3 weights, and the necessary dependencies for running Llama locally on AMD systems with ROCm™ 6.0.
