Tag: deep learning

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Deep Learning Just Dipped into Exascale Territory

Deep Learning Infiltrating HPC Physics Domains

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Xilinx Unveils xDNN FPGA Architecture for AI Inference

There is No Such Thing as Easy AI — But We’re Getting Closer

Geographic Information Systems (GIS) Field Upended by Neural Networks

How AlphaGo Sparked a New Approach to De Novo Drug Design

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Startup Builds GPU Native Custom Neural Network Framework

Medical Imaging Drives GPU Accelerated Deep Learning Developments

Samsung Invests in Cray Supercomputer for Deep Learning Initiatives

Drilling Into Microsoft’s BrainWave Soft Deep Learning Chip

An Early Look at Baidu’s Custom AI and Analytics Processor

IBM Highlights PowerAI, OpenPower System Scalability

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Google Research Pushing Neural Networks Out of the Datacenter

Wrenching Efficiency Out of Custom Deep Learning Accelerators

Technology Requirements for Deep and Machine Learning

When Will AI Replace Traditional Supercomputing Simulations?

The Next Battleground for Deep Learning Performance

Escher Erases Batching Lines for Efficient FPGA Deep Learning

Taking the Heavy Lifting Out of TensorFlow at Extreme Scale

A Look at Facebook’s Interactive Neural Network Visualization System

Neuromorphic, Quantum, Supercomputing Mesh for Deep Learning

Scaling Deep Learning on an 18,000 GPU Supercomputer

Rapid GPU Evolution at Chinese Web Giant Tencent

Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Learning?

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An Early Look at Startup Graphcore’s Deep Learning Chip

High Times for Low-Precision Hardware

Stanford’s TETRIS Clears Blocks for 3D Memory Based Deep Learning

How Yahoo’s Internal Hadoop Cluster Does Double-Duty on Deep Learning

Intel Gets Serious About Neuromorphic, Cognitive Computing Future

Cray Outpaces HPC Market, Books Historic Quarter

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Pushing MPI into the Deep Learning Training Stack

Memory at the Core of New Deep Learning Research Chip

OpenCL Opens Doors to Deep Learning Training on FPGA

FPGAs Focal Point for Efficient Neural Network Inference

Refining Oil and Gas Discovery with Deep Learning

Nvidia CEO’s “Hyper-Moore’s Law” Vision for Future Supercomputers

Inside Intel’s Strategy to Integrate Nervana Deep Learning Assets

A Deep Learning Supercomputer Approach to Cancer Research

The New Intelligence Economy, And How We Get There

Baidu’s New Yardstick for Deep Learning Hardware Makers

The Next Wave of Deep Learning Applications

Nvidia Pushes Deep Learning Inference With New Pascal GPUs

Deep Learning Architectures Hinge on Hybrid Memory Cube

Hardware Slaves to the Master Algorithm

The Next Wave of Deep Learning Architectures

FPGA Based Deep Learning Accelerators Take on ASICs

Nervana CEO on Intel Acquisition, Future Technology Outlook

Deep Learning Chip Upstart Takes GPUs to Task

HPC is Great for AI, But What Does Supercomputing Stand to Gain?

Knights Landing Proves Solid Ground for Intel’s Stake in Deep Learning

What Will GPU Accelerated AI Lend to Traditional Supercomputing?

Former NASA Exec Brings Stealth Machine Learning Chip to Light

Google Takes Unconventional Route with Homegrown Machine Learning Chips

Climate Research Pulls Deep Learning Onto Traditional Supercomputers

Baidu Eyes Deep Learning Strategy in Wake of New GPU Options

Future Cray Clusters to Storm Deep Learning

Nvidia Lead Details Future Convergence of Supercomputing, Deep Learning

Boosting Deep Learning with the Intel Scalable System Framework

OpenAI, Hyperscalers See GPU Accelerated Future for Deep Learning

NVIDIA CEO on Emergence of a New Computing Model

Broader Paths Etched into FPGA Datacenter Roadmap

Hadoop, Spark, Deep Learning Mesh on Single GPU Cluster

IARPA Project Targets Hidden Algorithms of the Brain

Baidu Looks to Next Generation Deep Learning Accelerators

Inside the GPU Clusters that Power Baidu’s Neural Networks

Emergent Chip Vastly Accelerates Deep Neural Networks

GPU Platforms Set to Lengthen Deep Learning Reach

Wider Net Cast Over Deep Learning On GPUs

The Expanding Ecosystem For GPU Compute

Why The Golden Age Of Machine Learning is Just Beginning

Intel Fellow Outlines Bright Future for Deep Learning

Deep Learning and the New Bayesian Golden Age