Anaconda Inc., a leading provider for data science, machine learning, and AI, today announced the general availability of Python in Excel. This integration with Microsoft Excel allows users to run Python code securely and directly within Excel’s grid, requiring no separate Python installation.
Search Results for: modeling
Anaconda Announces General Availability of Python in Excel, Transforming Data Analysis for Millions of Excel Users
September 16, 2024 by
Predictive Analytics: A Glimpse into Your Health’s Tomorrow!
September 3, 2024 by
In this contributed article, Sanket Patel, co-founder of Digicorp, discusses how in the healthcare industry, predictive analytics aims to foresee patient health trends, treatment outcomes, and potential risks by analyzing vast amounts of medical data.
Hyperion Research Announces a 36.7% Increase in the HPC/AI Market Size
August 15, 2024 by
Hyperion Research announced that it has updated its market sizing for the HPC (technical computing servers) market precipitated by the unprecedented impact AI has had on the market. In addition to revenue from traditional HPC suppliers, revenue attributed to non-traditional HPC suppliers, which often comes from non-traditional HPC buyers, is now included.
Synthetic Data Solves AI’s Biggest Problem
August 13, 2024 by
In this contributed article, Kalyan Veeramachaneni, co-founder and CEO of DataCebo, discusses how synthetic data is a useful application of AI technology that is already delivering real, tangible value to customers. More than mere fake data, synthetic data supports data-driven business systems throughout their lifecycle, particularly where ongoing access to production data is impractical or ill-advised.
SandboxAQ Helps Unlock the Next Generation of AI-Driven Chemistry with NVIDIA Technology
July 23, 2024 by
SandboxAQ announced today a groundbreaking advancement that pushes the limits of computational chemistry, impacting fields such as biopharma, chemicals, materials science and other industries. Collaborating with NVIDIA, SandboxAQ leverages Large Quantitative Models (LQMs) and the NVIDIA CUDA-accelerated Density Matrix Renormalization Group (DMRG) algorithm.
HPC/AI User Forum Event September 4-5 at Argonne National Laboratory, Lemont, Illinois Features Real-World Uses of AI in Industry, Science & Energy
July 21, 2024 by
The HPC User Forum, established in 1999 to promote the health of the global HPC industry and address issues of common concern to users, has opened registration for its upcoming meeting, September 4-5, 2024, at Argonne National Laboratory in Lemont, Illinois.
Lenovo Delivers Next Generation of Intel-Based Infrastructure Solutions to Simplify the AI Journey for Businesses of All Sizes
June 10, 2024 by
Lenovo announced the Lenovo ThinkSystem V4 portfolio of Intel-based solutions, powered by Intel® Xeon® 6 processors and designed to make AI accessible while flexibly matching the specific workloads needs of any business. The portfolio includes new AI-enabled solutions that ensure the right mix of AI is available to help customers seamlessly integrate AI into their workflows with new servers that are purpose-built and optimized to maximize performance and efficiency for targeted workloads. Additionally, new AI-powered Lenovo Systems Management solutions now use generative AI to automate and simplify deployment and configuration across increasingly distributed computing networks.
Western Digital Introduces New AI Data Cycle Storage Framework to Help Customers Capture the Value of AI
June 8, 2024 by
Fueling the next wave of AI innovation, Western Digital (NASDAQ: WDC) introduced a six-stage AI Data Cycle framework that defines the optimal storage mix for AI workloads at scale. This framework will help customers plan and develop advanced storage infrastructures to maximize their AI investments, improve efficiency, and reduce the total cost of ownership (TCO) of their AI workflows.
From ER Diagrams to AI-Driven Solutions
June 4, 2024 by
In this contributed article, Ovais Naseem from Astera, takes a look at how the journey of data modeling tools from basic ER diagrams to sophisticated AI-driven solutions showcases the continuous evolution of technology to meet the growing demands of data management. Understanding how data modeling tools have changed over time gives us important insights into why organizing and analyzing data well is so important.
Aurora Supercomputer Ranks Fastest for AI
May 15, 2024 by
At ISC High Performance 2024, Intel announced in collaboration with Argonne National Laboratory and Hewlett Packard Enterprise (HPE) that the Aurora supercomputer has broken the exascale barrier at 1.012 exaflops and is the fastest AI system in the world dedicated to AI for open science, achieving 10.6 AI exaflops. Intel will also detail the crucial role of open ecosystems in driving AI-accelerated high performance computing (HPC).
