AI News, Massive computational acceleration by using neural networks to ... artificial intelligence

JETSON AGX AND ISAAC DELIVER AI TO ROBOTICS AND IOT INDUSTRY

From the world’s largest supercomputers to the vast datacenters that power the cloud, this new computing model is helping to answer complex questions, discover new science, and bring amazing capabilities to our mobile devices.

Alibaba Clouder

The current advanced AI development strategy is deep learning with a learning process divided into two parts: training and inference.

Training usually requires a significant amount of data input, or involves the use of unsupervised learning methods, such as enhanced learning, to create a complex deep neural network model.

Due to the massive training data required and the complicated structures of a deep neural network, the training process requires a vast amount of computation and usually requires GPU clusters to train for several days or even weeks.

Next, on the software side, the chip is integrated with several algorithms developed at the DAMO Academy, which are specifically optimized for convolutional neural network (CNN) and computer vision algorithms, granting the tiny neural processing unit (NPU) the capacity to complete the computing operations of a large neural network.

MaxCompute supports various data importing solutions and distributed computing models, enabling users to effectively query massive datasets, reduce production costs, and ensure data security.

Neural Network Learns The Physics of Fluids and Smoke | Two Minute Papers #118

The paper "Accelerating Eulerian Fluid Simulation With Convolutional Networks" and its source code is available here: ...

Neural Networks and Deep Learning

This lecture explores the recent explosion of interest in neural networks and deep learning in the context of 1) vast and increasing data sets, and 2) rapidly ...

AI at the edge: Ultra efficient AI on low power compute platforms

Presentation by Sophie Lebrecht, Director of Operations, xnor.ai at 2018 GeekWire Cloud Tech Summit: geekwire.com/cloudsummit Advancements in deep ...

Stanford Seminar - Erudite: Prototype System for Computational Intelligence

Wen-mei Hwu University of Illinois, Urbana-Champaign January 16, 2018 Since the rise of deep learning in 2012, much progress has been made in ...

Design for Highly Flexible and Energy-Efficient Deep Neural Network Accelerators [Yu-Hsin Chen]

Abstract: Deep neural networks (DNNs) are the backbone of modern artificial intelligence (AI). While they deliver state-of-the-art accuracy in numerous AI tasks, ...

Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis

In this video from 2018 Swiss HPC Conference, Torsten Hoefler from (ETH) Zürich presents: Demystifying Parallel and Distributed Deep Learning: An In-Depth ...

Genomics Sequencing: Fighting Disease With Artificial Intelligence | Intel

When Bryce Olson was diagnosed with advanced prostate cancer, he sequenced the DNA of his tumor and opened doors to new treatment options for his ...

Crossbar Demonstration of Artificial Intelligence Edge Computing Acceleration with ReRAM

For more information about embedded vision, including hundreds of additional videos, please visit Sylvain Dubois, VP of ..

HPC - The Computational Foundation of Deep Learning

In this video from the 2016 Stanford HPC Conference, Brian Catanzaro from Baidu presents: HPC - The Computational Foundation of Deep Learning. "During ...

Accelerating Computation of Deep Neural Networks

livestream the tech talk hosted by SF big analytics meetup group.