Artificial neural networks

Neuromorphic Technology for Computing and Machine Learning Available on the Ocean Tomo Bid-Ask™ Market

Retrieved on: 
Tuesday, July 27, 2021
Academic disciplines, Branches of biology, Computational neuroscience, Artificial neural networks, Spiking neural network, Artificial intelligence, Neuroscience, Neuromorphic engineering, Patent portfolio, Ocean Tomo, Spiking, Tomo

The portfolio includes patents on spiking neurons, spiking networks, spike-timing dynamics, neuromorphic learning/AI, visual recognition, and visual tracking optimized for neuromorphic hardware.

Key Points: 
  • The portfolio includes patents on spiking neurons, spiking networks, spike-timing dynamics, neuromorphic learning/AI, visual recognition, and visual tracking optimized for neuromorphic hardware.
  • The portfolio is available through the Ocean Tomo Bid-Ask Market, auction lot 145 .
  • The Ocean Tomo Bid-Ask Market is an open online platform to buy and sell patents.
  • The Ocean Tomo Bid-Ask Market uniquely combines the efficiency of an online platform with an experienced team of brokers fluent in both English and Mandarin.

Deep Instinct Further Shields Businesses Against Cyberattacks as Ransomware Attacks More than Double

Retrieved on: 
Thursday, July 22, 2021
Software, Networks, Internet, Data management, Technology, Mobile, Wireless, Other Technology, Security, Articles, Academic disciplines, Technology, Emerging technologies, Deep learning, Guy Caspi, Artificial intelligence, Artificial neural networks, Cyberwarfare, Deep Instinct, Adversarial machine learning, Ransomware

As a follow-up from the Annual Cyber Threat Landscape Report, the mid-year report found an 800 percent increase in ransomware attacks since 2019.

Key Points: 
  • As a follow-up from the Annual Cyber Threat Landscape Report, the mid-year report found an 800 percent increase in ransomware attacks since 2019.
  • Additionally, although not yet very common, Deep Instinct noticed signs of Adversarial Machine Learning in the threat landscape.
  • Deep Instincts advanced AI with deep learning is the most advanced solution to protect businesses from these anti adversarial attacks, said Guy Caspi, Deep Instinct CEO.
  • In response, Deep Instinct has augmented their Deep Learning (DL) based Modern Endpoint Security product, to pioneer approaches to prevent these attacks.

Deci's DeciNets Image Classification Models Break Efficient Frontier

Retrieved on: 
Wednesday, July 14, 2021
Articles, Academic disciplines, Emerging technologies, Science and technology, Artificial intelligence, Object recognition and categorization, Databases, ImageNet, Artificial neural networks, Deep learning

TEL AVIV, Israel, July 14, 2021 /PRNewswire-PRWeb/ -- Deci , the deep learning company harnessing AI to build AI, today announced the discovery of their family of industry-leading image classification models dubbed DeciNets.

Key Points: 
  • TEL AVIV, Israel, July 14, 2021 /PRNewswire-PRWeb/ -- Deci , the deep learning company harnessing AI to build AI, today announced the discovery of their family of industry-leading image classification models dubbed DeciNets.
  • For image classification using the standard ImageNet benchmark dataset, AutoNAC discovered DeciNets.
  • "AutoNAC discovered some of the best classification and detection models to date," said Prof.
  • We continuously improve AutoNAC so that it will always allow developers to obtain the most powerful models that break the efficient frontier."

Cognitive Explainable Artificial Intelligence (AI) breakthroughs in Machine Learning (ML) for US Air Force: 3D Image Recognition using few training samples on CPU (without GPU)

Retrieved on: 
Wednesday, July 7, 2021
Academic disciplines, Computational neuroscience, Systems science, Artificial neural networks, Cybernetics, Artificial intelligence, Computer vision, Convolutional neural network, Machine learning, Lotfi A. Zadeh, Xai, Fuzzy logic

ZAC is the first to demonstrate the novel and superior algorithms Cognition-based Explainable-AI (XAI), where various attributes and details of 3D (three dimensional) objects are recognized from any view or angle.

Key Points: 
  • ZAC is the first to demonstrate the novel and superior algorithms Cognition-based Explainable-AI (XAI), where various attributes and details of 3D (three dimensional) objects are recognized from any view or angle.
  • "You cannot do this task with the other algorithms, such as Deep Convolutional Neural Networks (CNN) or ResNets, even with an extremely large number of training samples, on GPU servers.
  • That's basically hitting the limitations of CNNs or Neural Nets, which all other companies are using now," said Dr. Bijan Tadayon, CEO of ZAC.
  • The late Prof. Lotfi Zadeh of UC Berkeley ("Father of Fuzzy Logic", co-inventor of Z-Transform, and AI Hall-of-Fame inductee) is also one of ZAC inventors.

Deep Learning: Global Markets, 2020-2025 - ResearchAndMarkets.com

Retrieved on: 
Monday, June 21, 2021
Software, Technology, Networks, Academic disciplines, Articles, Artificial intelligence, Computational neuroscience, Emerging technologies, Technology, Artificial neural networks, Deep learning, Computational statistics, Machine learning, Neural network, Outline of machine learning

The report provides an overview of the global market for deep learning and analyzes market trends.

Key Points: 
  • The report provides an overview of the global market for deep learning and analyzes market trends.
  • Deep learning, also known as deep machine learning (ML), deep structured learning, hierarchical learning, deep neural learning, and deep neural network, is a subset of ML.
  • Scientists are trying to apply deep learning technology to the analysis of radiography images for the accurate detection of the disease.
  • The report explores the competitive landscape and current trends in the deep learning market and concludes with an analysis of the deep learning vendor landscape and profiles of the major players in the global market.

Inscopix Unveils First Demonstration of Optical-based ‘Wearable’ for Real-Time Measurement of Brain Activity in Non-Human Primates

Retrieved on: 
Tuesday, June 15, 2021
Mental health, Medical devices, Health, Research, Science, Biotechnology, Branches of biology, Neuroscience, Computational neuroscience, Biology, Artificial neural networks, Neural coding, Neurophysiology, Emerging technologies, Brain–computer interface, Development of the nervous system in humans, nVista™ and nVoke™ systems, Inscopix, Inc., NVISTA™ AND NVOKE™ SYSTEMS, INSCOPIX, INC.

Researchers were able to repeatedly image activity from the same neurons during sessions spanning multiple months allowing for longitudinal tracking of neural ensemble dynamics and their relationship to specific behaviors.

Key Points: 
  • Researchers were able to repeatedly image activity from the same neurons during sessions spanning multiple months allowing for longitudinal tracking of neural ensemble dynamics and their relationship to specific behaviors.
  • Neural activity selective for different directions of arm movements was observed and could be used to decode the animals reach behavior on individual trials with over 85% accuracy.
  • Driven by a North Star of overcoming historic challenges in the field, Inscopix provides validated solutions for real-time mapping of neural activity in brain circuits.
  • Inscopixs partner and customer discoveries help decode the brain, inform deeper understanding of mechanisms of action and enable the screening of drugs based on efficacy.

Wovenware Issued Patent for its Synthetic Data Generation Method for Use in Computer Vision Models

Retrieved on: 
Tuesday, June 8, 2021
Satellite, Electronic design automation, Data management, Technology, Software, Artificial intelligence, Artificial neural networks, Image processing, Computer vision, Packaging machinery, Deep learning, Academic disciplines, Articles, Technology

The patent addresses the companys system and method for generating synthetic overhead imagery based on cluster sampling and spatial aggregation factors of existing data-sets.

Key Points: 
  • The patent addresses the companys system and method for generating synthetic overhead imagery based on cluster sampling and spatial aggregation factors of existing data-sets.
  • The patented method is used by Wovenware to develop highly accurate deep learning-based computer vision models for government and commercial applications in regulated industries.
  • The training of deep learning models using large amounts of annotated data has become essential to the accuracy of computer vision applications, said Christian Gonzlez, CEO, Wovenware.
  • Wovenwares computer vision services are designed to help organizations optimize their operations by extracting valuable insights from the physical world.

Deeplite Announces Community Version of Neutrino for Optimizing Deep Learning Applications at the Network Edge

Retrieved on: 
Thursday, May 27, 2021
Emerging technologies, Artificial intelligence, Academic disciplines, Computational neuroscience, Articles, Machine learning, Artificial neural networks, Deep learning, Neural network, DeepScale

Community users will benefit from sharing feedback and ideas using Deeplite Neutrino on Github , while optimizing their deep learning models for memory, compute, power and other resource constraints on cameras, drones, smartphones and other network edge devices.

Key Points: 
  • Community users will benefit from sharing feedback and ideas using Deeplite Neutrino on Github , while optimizing their deep learning models for memory, compute, power and other resource constraints on cameras, drones, smartphones and other network edge devices.
  • Deeplite created Neutrino , an intelligent optimization engine for Deep Neural Networks (DNNs) deployed on cloud servers, where increased throughput can save money, and edge devices where size, speed and power are often major challenges.
  • Deeplite provides various examples of how to optimize different applications and use cases for deep learning models such as image classification, object detection and semantic segmentation.
  • "Rather than spending time and money to try building optimization software on their own, our free Neutrino Community version lets deep learning engineers and researchers download our software to immediately test optimizing their models.

Numenta Demonstrates 100x Performance Acceleration in Deep Learning Networks Using Sparse Techniques

Retrieved on: 
Thursday, May 20, 2021
Research, Technology, Semiconductor, Engineering, Software, Manufacturing, Networks, Hardware, Data management, Science, Artificial neural networks, Artificial intelligence, Deep learning, Applied machine learning, Articles, Numenta, Emerging technologies, Machine learning, Cognition

b'Numenta, Inc. announced it has achieved greater than 100x performance improvements on inference tasks in deep learning networks without any loss in accuracy.

Key Points: 
  • b'Numenta, Inc. announced it has achieved greater than 100x performance improvements on inference tasks in deep learning networks without any loss in accuracy.
  • In a new white paper released today, Numenta detailed how it used sparse algorithms derived from its neuroscience research to achieve breakthrough performance in machine learning in a proof-of-concept demonstration.\nThis press release features multimedia.
  • View the full release here: https://www.businesswire.com/news/home/20210520005369/en/\nNumenta\xe2\x80\x99s sparse network utilizes highly sparse weights and activations, like in the neocortex.
  • (Graphic: Business Wire)\nSparsity offers new approaches for machine learning researchers to address performance bottlenecks as they scale to more complex tasks and bigger models.

Neural Magic Appoints Brian Stevens as Chief Executive Officer

Retrieved on: 
Tuesday, May 11, 2021
Artificial neural networks, Artificial intelligence applications

b'BOSTON, May 11, 2021 /PRNewswire-PRWeb/ -- Today, Neural Magic, an AI company offering a novel software architecture for machine learning, announced that industry veteran Brian Stevens will be joining the company as Chief Executive Officer.

Key Points: 
  • b'BOSTON, May 11, 2021 /PRNewswire-PRWeb/ -- Today, Neural Magic, an AI company offering a novel software architecture for machine learning, announced that industry veteran Brian Stevens will be joining the company as Chief Executive Officer.
  • Before joining Neural Magic, Stevens was Vice President and CTO of Google Cloud and Executive Vice President and CTO of Red Hat.
  • Stevens will lead the company as it continues to create groundbreaking algorithms and tools that bring software, rather than specialized hardware, back to center stage in machine learning infrastructure.\n"I am thrilled to be joining the Neural Magic team full-time and helping the company to deliver on its mission of AI everywhere," says Brian Stevens, CEO of Neural Magic.
  • Neural Magic investors include Amdocs, Andreessen Horowitz, Comcast Ventures, NEA, and Pillar VC.\n'