DNN

Toshiba Develops DNN Hardware IP for Image Recognition AI Processor ViscontiTM5 for Automotive Driver Assistance Systems

Retrieved on: 
Monday, January 7, 2019
Technology, Hardware, Networks, Software, Audio, Video, Semiconductor, Manufacturing, Automotive Manufacturing, Automotive, General Automotive, Economy of Japan, Technology, Science and technology in Japan, Artificial neural networks, Computational neuroscience, Computational statistics, DNN, Deep learning, Toshiba, Advanced driver-assistance systems

Toshiba Electronic Devices & Storage Corporation (Toshiba) today announced the development of Deep Neural Network (DNN [1]) hardware IP[2] that will help to realize advanced driver assistance systems (ADAS) and autonomous driving functions.

Key Points: 
  • Toshiba Electronic Devices & Storage Corporation (Toshiba) today announced the development of Deep Neural Network (DNN [1]) hardware IP[2] that will help to realize advanced driver assistance systems (ADAS) and autonomous driving functions.
  • The company will integrate the DNN hardware IP with conventional image processing technology and start sample shipments of ViscontiTM5, the next generation of Toshibas image-recognition processor, in September 2019.
  • The DNN hardware IP draws on deep learning to deliver more accurate detection and identification of a wider range of objects than image recognition based on conventional pattern recognition and machine learning.
  • Toshiba will promote ViscontiTM5 equipped with DNN hardware IP as a key component of next-generation advanced driver assistance systems.

Algolux Wins the 2018 Automotive Tech.AD Award for Most Innovative Autonomous Driving Solution

Retrieved on: 
Thursday, November 29, 2018
Emerging technologies, Computational neuroscience, DNN, Self-driving car, Artificial neural network, Digital News Network, Crisp, Applied mathematics, Marketing, Technology

MONTREAL, Nov. 29, 2018 /PRNewswire-PRWeb/ -- Algolux, the leading provider of machine learning optimization platforms for autonomous vision, has won the top award at the 2018 Detroit Automotive Tech.AD Conference.

Key Points: 
  • MONTREAL, Nov. 29, 2018 /PRNewswire-PRWeb/ -- Algolux, the leading provider of machine learning optimization platforms for autonomous vision, has won the top award at the 2018 Detroit Automotive Tech.AD Conference.
  • Algolux was recognized for Most Innovative Autonomous Driving Solution for its CANA full-stack deep neural network (DNN) at the awards ceremony.
  • "We are honored to win the Automotive Tech.AD Award for the Most Innovative Autonomous Driving Solution for our CANA robust perception DNN stack.
  • Copyright 2018 Algolux, Inc. Algolux, the Algolux logo, CRISP, CRISP-ML, CANA, and other designated brands included herein are trademarks of Algolux in the United States and other countries.

Inspirit IoT Awarded Phase II NSF SBIR Grant to Support Development of DNN Architect

Retrieved on: 
Thursday, September 27, 2018
Ambient intelligence, Internet of things, Small Business Innovation Research, DNN, Artificial neural network, Economy, Business, Applied mathematics

This new grant continues an earlier $225,000 SBIR Phase I grant that developed fundamental technologies to automate optimization, hardware acceleration and deployment of machine learning.

Key Points: 
  • This new grant continues an earlier $225,000 SBIR Phase I grant that developed fundamental technologies to automate optimization, hardware acceleration and deployment of machine learning.
  • The award will be used to accelerate development of Inspirit IoT's DNN Architect, which includes DNN graph and hardware optimizations, Neural Network processing unit design and optimization, and deployment architectures.
  • Together with Inspirit's prior $600K Seed funding and $2.05M Late-Seed Funding from Senscape Technologies, Inspirit IoT is accelerating development of their team,tools, IoT devices,and commercialization activities.
  • Dr. Kyle Rupnow, Co-Founder and CTO of Inspirit IoT and principal investigator on this grant stated, "The SBIR Phase II Project focuses on design of high performance, energy-efficient platforms for machine learning applications, and associated design tools and libraries.

Advancements of Neural Networks Propelling Artificial Intelligence Performance to New Levels

Retrieved on: 
Thursday, August 30, 2018
Computational neuroscience, Cybernetics, Applied mathematics, Technology, Emerging technologies, Cognitive science, Artificial intelligence, Deep learning, DNN, Artificial neural network, Neural network, Outline of machine learning

Artificial intelligence (AI) is becoming smarter and closer to the intelligence of human beings thanks to advancements in neural networks, allowing AI platforms to engage in a deeper sense of machine learning to understand trends and other nuances.

Key Points: 
  • Artificial intelligence (AI) is becoming smarter and closer to the intelligence of human beings thanks to advancements in neural networks, allowing AI platforms to engage in a deeper sense of machine learning to understand trends and other nuances.
  • Investment in AI is expected to rise exponentially in the coming years as the advancements of technologies continue, promoting confidence in both companies and investors.
  • Object recognition has become a key feature of deep learning and machine learning algorithms in the past decade.
  • This functionality will be achieved by our machine learning DNN (Deep Neural Network) model for Avant!

Denison Announces Board Appointments

Retrieved on: 
Thursday, August 9, 2018
Economy, Board of directors, Business, Committees, Corporate law, Independent director, Denison Mines, DNN, NYSE American

TORONTO, Aug. 9, 2018 /PRNewswire/ -Denison Mines Corp. ("Denison" or the "Company") (TSX: DML) (NYSE MKT: DNN) (NYSE American: DNN) is pleased to announce that David Cates, Jack Lundin, Moo Hwan Seo, and Patricia Volker have been appointed to the Board of Directors of the Company.

Key Points: 
  • TORONTO, Aug. 9, 2018 /PRNewswire/ -Denison Mines Corp. ("Denison" or the "Company") (TSX: DML) (NYSE MKT: DNN) (NYSE American: DNN) is pleased to announce that David Cates, Jack Lundin, Moo Hwan Seo, and Patricia Volker have been appointed to the Board of Directors of the Company.
  • In addition to the changes in the members of the Company's Board of Directors, Catherine J.G.
  • Stefan, previously serving as the Company's Lead Independent Director, has been appointed non-executive Chair of the Board of Directors.
  • Ms. Volker served in various capacities in the accounting profession during her 30+ year career, and brings a wealth of advisory, public accounting, banking, and regulatory expertise to the Denison Board.

Decentralized News Network (DNN) Announces VIDL News executives Greg D'Alba and Charles Theiss to Join DNN Advisory Board

Retrieved on: 
Wednesday, July 11, 2018
Greg D'Alba, DNN, Digital News Network, Blockchain, CNN, Theiss, Radio, Television in the United States, Computing

EDISON, N.J., July 11, 2018 /PRNewswire/ -- Decentralized News Network ("DNN"), the world's first blockchain ecosystem for decentralized news reporting and distribution, announces that Greg D'Alba and Charles Theiss from VIDL News Corp. have joined DNN's advisory board.

Key Points: 
  • EDISON, N.J., July 11, 2018 /PRNewswire/ -- Decentralized News Network ("DNN"), the world's first blockchain ecosystem for decentralized news reporting and distribution, announces that Greg D'Alba and Charles Theiss from VIDL News Corp. have joined DNN's advisory board.
  • Former CNN executives, D'Alba and Theiss will provide strategic recommendations and advice to DNN's executive team.
  • The DNN platform will be guided by the quest for factual reporting by infusing professional journalism, disruptive technology, and consumer collaboration," remarked Greg D'Alba.
  • DNN founder and CEO Samit Singh commented, "Greg and Charles are leaders and visionaries in the news industry.