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Primeur weekly 2017-05-15

Special

NVIDIA ushers in new era of robotics, with breakthroughs making It easier to build and train intelligent machines ...

NVIDIA and Toyota collaborate to accelerate market introduction of autonomous cars ...

NVIDIA launches GPU Cloud platform to simplify AI development ...

NVIDIA advances AI computing revolution with new Volta-based DGX systems ...

NVIDIA launches revolutionary Volta GPU platform, fueling next era of AI and high performance computing ...

NVIDIA to train 100,000 developers on deep learning in 2017 ...

NVIDIA paves path to AI cities with Metropolis Edge-to-Cloud platform for video analytics ...

NVIDIA Tesla accelerators on IBM Cloud demonstrate advanced performance for training deep learning models ...

BSC and NVIDIA a step forward to the interactive simulation of humans ...

Quantum computing

Refrigerator for quantum computers discovered ...

Focus on Europe

EoCoE service page open for PRACE user community ...

Spring 2017 edition of the e-IRG newsletter available ...

PRACE to issue Annual Report 2016 ...

Middleware

Bright Computing announces 8.0 release - Setting new standard for automation and ease-of-use for Linux-based clusters and public, private and hybrid Clouds ...

CETIAT France chooses Bright Cluster Manager for aerodynamics and fluid mechanics HPC environment ...

2016 National Research Infrastructure Roadmap for Australia is now available ...

Hardware

Cray delivers production-ready AI with new Cray CS-Storm accelerated cluster supercomputers ...

Inspur to unveil 2U 8-GPU AI supercomputer at GTC 2017 ...

Inspur unveiled AIStation, AI deep learning training cluster management software at GTC 2017 ...

Supermicro systems deliver 170 Tflop/s FP16 of peak performance for artificial intelligence, and deep learning at GTC 2017 ...

NCSA's Blue Waters project provides $1.08 billion direct return to Illinois' economy ...

Applications

SDSC's Comet helps replicate brain circuitry to direct a realistic prosthetic arm ...

University of Wyoming graduate student one of 36 selected for CyberGIS Summer School ...

Supercomputing mimics berkelium experiments to validate new find ...

'Inverse designing' spontaneously self-assembling materials ...

Story of silver birch from genomic Big Data ...

Targeted, high-energy cancer treatments get a supercomputing boost ...

Computer accurately identifies and delineates breast cancers on digital tissue slides ...

Sound over silicon: Computing's wave of the future ...

USC Viterbi School of Engineering faculty awarded multiple MURI grants ...

New funding announced for Digital Earth Australia ...

NCSA releases annual report highlighting scientific exploration and breakthroughs enabled by the Blue Waters Project ...

Supercomputer can disprove the theory of sunspot formation ...

The Cloud

Inspur to release InCloud OS 5.0 "F.A.S.T" at the 2017 OpenStack Summit ...

IBM extends data science collaborative workspace to the private Cloud ...

Pointwise and Envenio Join Forces on Demand ...

NVIDIA ushers in new era of robotics, with breakthroughs making It easier to build and train intelligent machines

10 May 2017 San Jose - NVIDIA has ushered in a new era for the robotics industry, introducing breakthroughs that radically simplify the work of building and training intelligent machines. In his keynote at the eighth annual GPU Technology Conference, NVIDIA CEO and founder Jensen Huang introduced the NVIDIA Isaac robot simulator, which utilizes sophisticated video-game and graphics technologies to train intelligent machines in simulated real-world conditions before they get deployed. The company also introduced a set of robot reference-design platforms that make it faster to build such machines using the NVIDIA Jetson platform.

"Robots based on artificial intelligence hold enormous promise for improving our lives, but building and training them has posed significant challenges", Jensen Huang stated. "NVIDIA is now revolutionizing the robotics industry by applying our deep expertise in simulating the real world so that robots can be trained more precisely, more safely and more rapidly."

At GTC, more than 50 companies from around the world are showing robots capable of a huge range of capabilities, all of which incorporate NVIDIA's Jetson platform, which enables fast, efficient processing of complex data on edge devices. They are capable of handling such critical tasks as search and rescue, elder support and industrial automation of tedious or potentially dangerous tasks.

Prior to deployment, robots must be extensively trained and tested. With physical prototypes, this can be expensive and impractical. Creating the complete environment a robot will interact with can be unsafe or very complex. Modelling all possible interactions between a robot and its surrounding environment can be highly time consuming.

The Isaac robot simulator advances these tasks by providing an AI-based software platform that lets teams train robots in highly realistic virtual environments and then transfer that knowledge to real-world units.

Isaac is built on an enhanced version of Epic Games' Unreal Engine 4 and uses NVIDIA's advanced simulation, rendering and deep learning technologies. Working within this virtual environment, developers can set up extensive test scenarios using deep learning training, and then simulate them in minutes - which would otherwise take months to perform.

Once a simulation is satisfactorily complete, the information can be quickly transferred to real-world robots. Developers can then iterate and tweak the robot testing methodology, trading intelligence between the two environments. Since simulations within Isaac are highly realistic and can be performed quickly, fewer adjustments are needed to the final product compared to traditional development.

To accelerate the development of advanced robotics on Jetson, NVIDIA partners are releasing open-source reference platforms for drones, submersibles, robots on wheels and other devices. These platforms provide building blocks for developers to easily create prototypes, helping reduce the time and money it takes to build robots from the ground up.

Among the companies releasing Jetson reference platforms are Toyota, for human support robots; Teal, for consumer drones; Enroute Lab, for industrial drones and unmanned surface and ground vehicles; and various universities and academia, for scale model autonomous cars.

Among the companies at GTC using Jetson are Fellow for industrial robots; Starship, Marble and Dispatch.AI for delivery robots; Enroute Lab and Aerialtronics for search and rescue drones; Toyota for human-support robots; and FIRST for high-school robotics programmes.
Source: NVIDIA

Back to Table of contents

Primeur weekly 2017-05-15

Special

NVIDIA ushers in new era of robotics, with breakthroughs making It easier to build and train intelligent machines ...

NVIDIA and Toyota collaborate to accelerate market introduction of autonomous cars ...

NVIDIA launches GPU Cloud platform to simplify AI development ...

NVIDIA advances AI computing revolution with new Volta-based DGX systems ...

NVIDIA launches revolutionary Volta GPU platform, fueling next era of AI and high performance computing ...

NVIDIA to train 100,000 developers on deep learning in 2017 ...

NVIDIA paves path to AI cities with Metropolis Edge-to-Cloud platform for video analytics ...

NVIDIA Tesla accelerators on IBM Cloud demonstrate advanced performance for training deep learning models ...

BSC and NVIDIA a step forward to the interactive simulation of humans ...

Quantum computing

Refrigerator for quantum computers discovered ...

Focus on Europe

EoCoE service page open for PRACE user community ...

Spring 2017 edition of the e-IRG newsletter available ...

PRACE to issue Annual Report 2016 ...

Middleware

Bright Computing announces 8.0 release - Setting new standard for automation and ease-of-use for Linux-based clusters and public, private and hybrid Clouds ...

CETIAT France chooses Bright Cluster Manager for aerodynamics and fluid mechanics HPC environment ...

2016 National Research Infrastructure Roadmap for Australia is now available ...

Hardware

Cray delivers production-ready AI with new Cray CS-Storm accelerated cluster supercomputers ...

Inspur to unveil 2U 8-GPU AI supercomputer at GTC 2017 ...

Inspur unveiled AIStation, AI deep learning training cluster management software at GTC 2017 ...

Supermicro systems deliver 170 Tflop/s FP16 of peak performance for artificial intelligence, and deep learning at GTC 2017 ...

NCSA's Blue Waters project provides $1.08 billion direct return to Illinois' economy ...

Applications

SDSC's Comet helps replicate brain circuitry to direct a realistic prosthetic arm ...

University of Wyoming graduate student one of 36 selected for CyberGIS Summer School ...

Supercomputing mimics berkelium experiments to validate new find ...

'Inverse designing' spontaneously self-assembling materials ...

Story of silver birch from genomic Big Data ...

Targeted, high-energy cancer treatments get a supercomputing boost ...

Computer accurately identifies and delineates breast cancers on digital tissue slides ...

Sound over silicon: Computing's wave of the future ...

USC Viterbi School of Engineering faculty awarded multiple MURI grants ...

New funding announced for Digital Earth Australia ...

NCSA releases annual report highlighting scientific exploration and breakthroughs enabled by the Blue Waters Project ...

Supercomputer can disprove the theory of sunspot formation ...

The Cloud

Inspur to release InCloud OS 5.0 "F.A.S.T" at the 2017 OpenStack Summit ...

IBM extends data science collaborative workspace to the private Cloud ...

Pointwise and Envenio Join Forces on Demand ...