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Enhancing Diagnostic Quality and Productivity with AI

This report delves into many advances in clinical imaging being introduced through AI. The activity today is mostly focused on working with the current computational environment that exists in the radiologist’s laboratory, and examines how advanced medical instruments and software solutions that incorporate AI can augment a radiologist’s work. Download the new white paper from NVIDIA that explores increasing productivity with AI and how tools like deep learning can enhance offerings and cut down on cost. 

PLASTER: A Framework for Deep Learning Performance

Both hardware and software advances in deep learning (DL), a type of ML, appear to be catalysts for the early stages of a phenomenal AI growth trend. Download the new white paper from NVIDIA that addresses the challenges described in PLASTER, which is important in any  deep learning solution, and it is especially useful for developing and delivering the inference engines underpinning AI-based services. 

Machine Learning in Energy: A Hot Spot in Seismic Processing

Artificial intelligence and machine learning, based on widely available hardware and novel software techniques, give energy exploration companies the confidence to pinpoint drilling locations, resulting in lower costs.  Download the new insideHPC special report, courtesy of Dell EMC and Nvidia, to learn how HPC technology is being used for energy exploration, ranging from drilling and well completion to modeling oil-refining strategies. 

Unified Deep Learning with CPU, GPU and FPGA Technologies

Deep learning and complex machine learning has quickly become one of the most important computationally intensive applications for a wide variety of fields. Download the new paper — from Advanced Micro Devices Inc. (AMD) and Xilinx Inc. — that explores the challenges of deep learning training and inference, and discusses the benefits of a comprehensive approach for combining CPU, GPU, FPGA technologies, along with the appropriate software frameworks in a unified deep learning architecture.

Transforming Financial Services with AI Technologies

As the financial industry increasingly realizes the impact of faster analytical insights on overall business strategy, artificial intelligence techniques like machine learning are permeating nearly every industry. Download the new white paper from HPE and NVIDIA to learn how to transform financial services with AI technologies, as well as drive business value with NVIDIA GPU-accelerated deep learning. 

Unsupervised Machine Learning on a Hybrid Quantum Computer

We show that our algorithm has robustness to quantum processor noise, and we find evidence that classical optimization can be used to train around both coherent and incoherent hardware imperfections. Beating the best classical benchmarks will require more qubits and better performance, but hybrid proofs-of-concept like this one form the basis of valuable applications for the first quantum computers.

Revolutionizing Healthcare With Artificial Intelligence

Artificial intelligence has already had a profound effect on many industries. But for the healthcare sector, this collection of technologies is proving to be nothing short of transformative. Download the new report from HPE that explores how tools like GPUs and deep learning platforms are changing and progressing healthcare.

Launch a Machine Learning Startup

Launch a Machine Learning Startup – In this report, we’ll address everything from how to choose a framework and pick the tools you need to get started, to the questions you’ll be asking yourself, and the benefits of immersing yourself in the machine and deep learning communities. This report also untangles the jargon and explores what these terms actually mean. Download this special report now.

insideBIGDATA Guide to Artificial Intelligence & Deep Learning

This guide to artificial intelligence explains the difference between AI, machine learning and deep learning, and examine the intersection of AI and HPC. To learn more about AI and HPC download this guide.

Choosing the Right In-Memory Computing Solution

This white paper reviews why IMC makes sense for today’s fast-data and big-data applications, dispels common myths about IMC, and clarifies the distinctions among IMC product categories to make the process of choosing the right IMC solution for a specific use case much easier. Download now to learn more.