Deep learning

Nanotronics Unveils nTelligence, Its Fourth Generation of Artificial Intelligence Software

Tuesday, January 19, 2021 - 8:54pm

Nanotronics, developer of the worlds most advanced robotic industrial microscope that combines AI, automation, and sophisticated imaging for industrial inspection, is announcing the release of its fourth generation of artificial intelligence software, nTelligence.

Key Points: 
  • Nanotronics, developer of the worlds most advanced robotic industrial microscope that combines AI, automation, and sophisticated imaging for industrial inspection, is announcing the release of its fourth generation of artificial intelligence software, nTelligence.
  • In addition to Nanotronics extensive library of analyzers, nTelligence adds the ability to not only detect, but classify defects of interest.
  • Nanotronics architecture utilizes customized enhancements for deep learning and convolutional networks geared towards sparse data sets.
  • The introduction of Nanotronics Gen 4 AI has made processing times that are three times faster than previous models.

DeepRoute.ai Showcases Groundbreaking Inference Engine for Autonomous Vehicles at CES

Friday, January 15, 2021 - 1:13am

At CES, the company is debuting DeepRoute-Engine, an inference engine that speeds up the neural network computation, allowing algorithms to run on an energy-efficient computing platform.

Key Points: 
  • At CES, the company is debuting DeepRoute-Engine, an inference engine that speeds up the neural network computation, allowing algorithms to run on an energy-efficient computing platform.
  • This results in a 6x faster inference process than that of widely used open source deep learning frameworks (e.g.
  • Along with the debut of the inference engine, DeepRoute will also showcase its second-generation all-in-one sensing solution, DeepRoute-Sense II.
  • DeepRoute will also highlight its cutting-edge human-like planning at CES through a video of a fully autonomous road test in Shenzhens heavy traffic.

Fujitsu Leverages Deep Learning to Achieve World's Most Accurate Recognition of Complex Actions and Behaviors Based on Skeleton Data

Wednesday, January 13, 2021 - 1:55am

This makes it possible to achieve greater accuracy in recognizing, for instance, when a person performs a task like removing objects from a box.

Key Points: 
  • This makes it possible to achieve greater accuracy in recognizing, for instance, when a person performs a task like removing objects from a box.
  • In recent years, advances in AI technology have made it possible to recognize human behavior from video images using deep learning.
  • Complex movements like unpacking involve hand, elbow, and shoulder joints moving in tandem with the arm bending and stretching.
  • Deep learning technology that can recognize a variety of subtle and complex human movements without relying on large amounts of training data.

Syntiant Surpasses Milestone of 10 Million Processors Shipped

Tuesday, January 12, 2021 - 1:30pm

IRVINE, Calif., Jan. 12, 2021 (GLOBE NEWSWIRE) -- Syntiant Corp ., a deep learning chip technology company advancing AI pervasiveness in edge devices, today announced that it has shipped more than 10 million of its Syntiant NDP100 and Syntiant NDP101 Neural Decision Processors (NDPs) to customers across the globe.

Key Points: 
  • IRVINE, Calif., Jan. 12, 2021 (GLOBE NEWSWIRE) -- Syntiant Corp ., a deep learning chip technology company advancing AI pervasiveness in edge devices, today announced that it has shipped more than 10 million of its Syntiant NDP100 and Syntiant NDP101 Neural Decision Processors (NDPs) to customers across the globe.
  • We believe there isnt another chip company dedicated to machine learning that has been able to achieve what we have accomplished in a little over three years, said Kurt Busch, CEO of Syntiant.
  • Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is moving artificial intelligence and machine learning from the cloud to edge devices.
  • More information on the company can be found by visiting www.syntiant.com or by following Syntiant on Twitter @ Syntiantcorp .

Teradyne and Syntiant Collaborate to Significantly Shorten Time to Market for Innovative Artificial Intelligence Neural Decision Processors

Tuesday, January 12, 2021 - 2:00pm

to successfully ship millions of its microwatt-power, deep learning Neural Decision Processors to customers worldwide.

Key Points: 
  • to successfully ship millions of its microwatt-power, deep learning Neural Decision Processors to customers worldwide.
  • We look forward to working closely with Teradyne as we introduce our second generation products and significantly accerlate our volume ramp."
  • We look forward to continuing to work with Syntiant in bringing their innovative AI Neural Decision Processors to market.
  • Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is moving artificial intelligence and machine learning from the cloud to edge devices.

Total Economic Impact Study Shows Deep Instinct Endpoint Security Delivers 446% ROI

Wednesday, January 6, 2021 - 2:00pm

Deep Instinct , the first and only cybersecurity company to apply end-to-end deep learning to predict, identify, and prevent cyberattacks, announced findings from a newly published Total Economic Impact (TEI) study conducted by Forrester Consulting.

Key Points: 
  • Deep Instinct , the first and only cybersecurity company to apply end-to-end deep learning to predict, identify, and prevent cyberattacks, announced findings from a newly published Total Economic Impact (TEI) study conducted by Forrester Consulting.
  • The study shows that using the companys advanced endpoint security solution can deliver a 446% return on investment (ROI).
  • A director of information technology in education who is a Deep Instinct customer participating in the study said, Having Deep Instinct running on endpoints is like having a cybersecurity analyst doing the job 24/7.
  • Download The Total Economic Impact of Deep Instinct Advanced Endpoint Security Solution.

Syntiant Introduces Second Generation NDP120 Deep Learning Processor for Audio and Sensor Applications in Battery-powered Devices

Wednesday, January 6, 2021 - 1:30pm

IRVINE, Calif., Jan. 06, 2021 (GLOBE NEWSWIRE) -- Syntiant Corp. , a deep learning chip technology company advancing AI pervasiveness in edge devices, today announced the availability of its Syntiant NDP120 Neural Decision Processor (NDP), the latest generation of special purpose chips for audio and sensor processing for always-on applications in battery-powered devices.

Key Points: 
  • IRVINE, Calif., Jan. 06, 2021 (GLOBE NEWSWIRE) -- Syntiant Corp. , a deep learning chip technology company advancing AI pervasiveness in edge devices, today announced the availability of its Syntiant NDP120 Neural Decision Processor (NDP), the latest generation of special purpose chips for audio and sensor processing for always-on applications in battery-powered devices.
  • By optimizing its silicon for its deep learning models, Syntiant is making neural processing the pervasive technology to interface between people and machines.
  • Syntiants NDP120 brings always-on neural processing to all types of consumer products, including mobile phones, earbuds, wearables, smart speakers, laptops, smart home applications and security devices.
  • This second generation architecture delivers 25x the tensor throughput of the Syntiant Core 1 found in the Syntiant NDP100 and Syntiant NDP101 devices that are currently shipping in high volumes.

Release of Deep Learning Framework "SmallTrain 0.2.0" For Professional/Commercial Use

Monday, December 28, 2020 - 5:06pm

We have released the source code with the desire to "Deliver Artificial Intelligence (AI) that can withstand commercial and professional use."

Key Points: 
  • We have released the source code with the desire to "Deliver Artificial Intelligence (AI) that can withstand commercial and professional use."
  • SmallTrain is an OSS framework that enables you to develop transfer learning models pre-trained in various data.
  • As AI development from amateur to advance is a steep learning curve, developing an AI model is a tedious task.
  • It's a deep learning framework developed as a library for convenient use and as a wrapper.

Global Counter Misinformation (DeepFake & Fake News) Solutions Market (2020 to 2026) - Featuring Axon, Cheq & Cyabra Among Others - ResearchAndMarkets.com

Wednesday, December 23, 2020 - 1:45pm

This approach has the advantage of possibly working even if the video quality itself is essentially perfect.

Key Points: 
  • This approach has the advantage of possibly working even if the video quality itself is essentially perfect.
  • Most deepfake videos are created by merging individually generated frames into videos.
  • What will be the counter deepfake and counter fake news software market size in 2019-2025?
  • 2 Misinformation in Homeland Security, Public Safety and National Security Market Background & Assessmen
    3 Counter Misinformation in Homeland Security, Public Safety and National Security Market Background & Assessment
    5 Select Counter Misinformation Projects and Programs in Homeland Security, Public Safety & National Security

Machine Learning and Speech: A Review of FPF’s Digital Data Flows Masterclass

Friday, December 18, 2020 - 9:00pm

Authors: Hunter Dorwart, Caroline Hopland, and Rob van Eijk On Wednesday, December 9, 2020, FPF hosted a Digital Data Flows Masterclass on Machine Learning and Speech.

Key Points: 
  • Authors: Hunter Dorwart, Caroline Hopland, and Rob van Eijk On Wednesday, December 9, 2020, FPF hosted a Digital Data Flows Masterclass on Machine Learning and Speech.
  • The masterclass on Machine Learning and Speech is the first masterclass of a new series after completing the VUB-FPF Digital Data Flows Masterclass series with eight topics.
  • Dr. Prem Natarajan (VP, Alexa AI-Natural Understanding) guides us through the intricacies of Machine Learning in the context of voice assistants.
  • The presenters explored the differences between supervised, semi-supervised, and unsupervised machine learning (ML) and the impact of these recent technical developments on machine translation and speech recognition technologies.
  • Machine Translation An Introduction As a sub-field of computational linguistics, machine translation studies the use of software to translate text or speech from one language to another.
  • Deep learning requires very large datasets and paired translation examples (e.g., English to French), which might not exist for certain languages.
  • Even when there is a large pool of data, sentences often have multiple correct translations, which poses additional problems for machine learning.
  • How to Train a Machine Learning Model Supervised, Unsupervised, and Semi-Supervised Learning Training neural models with limited translation data poses multiple problems (see also, Figure 1).
  • Finally, semi-supervised learning combines elements of both supervised and unsupervised learning and is the primary training method for translation models.
  • From a high level perspective, neural models employing machine learning produce more fluent translations than older statistical models.
  • Machine Learning and Speech Many of the lessons learned in recent advancements of machine translation also apply to the area of speech recognition.
  • Yet while the idea of machine learning through neural networking became widespread in the discipline, the lack of computing power and data inhibited its development.
  • Advancements in Training Models Indeed, present speech recognition technology utilizes a range of learning methods at the cutting edge of deep learning, including active learning, transfer learning, semi-supervised learning, learning to paraphrase, self-learning, and teaching AI.
  • Transfer learning data takes data rich domains and finds ways to transfer learning to new domains that lack corresponding data.
  • Digital Data Flows Masterclass Archive The Digital Data Flows Masterclass Archive with the recordings and resources for previous classes can be accessed here.