AI News, BOOK REVIEW: Top 10 Best Deep Learning Frameworks in 2019 artificial intelligence
Japan’s Fastest Supercomputer Adopts NGC, Enabling Easy Access to Deep Learning Frameworks
From discovering drugs, to locating black holes, to finding safer nuclear energy sources, high performance computing systems around the world have enabled breakthroughs across all scientific domains.
Researchers and engineers are unproductive as they wait to access the software, and their requests to have applications installed distract system admins from completing mission-critical tasks.
Containers — packages that contain software and relevant dependencies — allow users to pull and run the software on a system without actually installing the software.
“Installing deep learning frameworks from the source is complicated and upgrading the software to keep up with the frequent releases is a resource drain,” said Hirotaka Ogawa, team leader of the Artificial Intelligence Research Center at AIST.
“NGC allows us to support our users with the latest AI frameworks and the users enjoy the best performance they can achieve on NVIDIA GPUs.” ABCI has turned to containers to address another user need — portability.
Our sampling data showed that NGC containers were used by 80 percent of the over 100,000 jobs that ran on Singularity.” System admins managing HPC systems at supercomputing centers and universities can now download and save NGC containers on their clusters.
In addition to deep learning containers, NGC hosts 60 pre-trained models and 17 model scripts for popular use cases like object detection, natural language processing and text to speech.
A popular theme in science fiction and folklore, the field of AI research was founded as an academic discipline as early as 1956.
Exponential increase in computer processing speed, major drop in memory costs, upsurge of open source programming frameworks, advancement in voice and image processing techniques turned out to be game changers.
Facial recognition in 2019 - top 7 trends (and latest news)
blockchain, face recognition certainly represents a significant digital challenge for all companies and organizations - and especially governments.
In this dossier, you'll discover the 7 face recognition facts and trends that are set to shape the landscape in 2019-2020. Let’s jump right in. Today it's considered to be the most natural of all biometric measurements.
All the software web giants now regularly publish their theoretical discoveries in the fields of artificial intelligence, image recognition and face analysis in an attempt to further our understanding as rapidly as possible.
GaussianFace algorithm developed in 2014 by researchers at Hong Kong University achieved facial identification scores of 98.52% compared with the 97.53% achieved by humans.
Ars Technica reported that Amazon is already actively promoting its cloud-based face recognition service named Rekognition to law enforcement agencies.
The solution could recognize as many as 100 people in a single image and can perform face match against databases containing tens of millions of faces.
Newsweek reported that Amazon’s facial recognition technology falsely identified 28 members of US Congress as people arrested for crimes.  At the end of May 2018, the US Homeland Security Science and Technology Directorate published the results of sponsored tests at the Maryland Test Facility (MdTF) done in March.
Facial recognition software (LFIS) achieved excellent results with a face acquisition rate of 99.44% in less than 5 seconds (against an average of 68%), a Vendor True Identification Rate of 98% in less than 5 seconds compared with an average 66%, and an error rate of 1% compared with an average 32%.
live testing done using more than 300 volunteers identified the best-performing facial recognition technologies.
identify emotions such as disgust, joy, anger, surprise, fear or sadness on a human face with image processing software.
Providers include Kairos (face and emotion recognition for brand marketing), Noldus, Affectiva, Sightcorp, Nviso among others. The feature common to all these disruptive technologies is known as Artificial Intelligence (AI) and more precisely deep learning where a system is capable of learning from data.
It's a central component of the latest-generation algorithms developed by Gemalto and other key players in the market, and holds the secret to face detection, face tracking and face match as well as real-time translation of conversations.
A study in June 2016 estimated that by 2022, the global face recognition market would generate $9.6 billion of revenue, supported by a compound annual growth rate (CAGR) of 21.3% over the period 2016-2022.
Facebook, sales staff are provided with customer information taken from their social media profiles to produce expertly customized responses.
Since 2017, KFC, the American king of fried chicken, and Chinese retail and tech giant Alibaba, have been testing a face recognition payment solution in Hangzhou, China.
176 million surveillance cameras were in use at the end of 2017 and 626 million are expected by 2020. Chinese police is working with artificial intelligence companies such as Yitu, Megvii, SenseTime and CloudWalk according to
Any investigations into a citizen's private life or business travel habits are out of the question and any such invasions of privacy carry severe penalties.
Applicable from May last year, the GDPR supports the principle of a harmonized European framework, in particular protecting the right to be forgotten and the giving of consent through clear affirmative action.
The California Consumer Privacy Act (CCPA) passed in June 2018 and effective as of 1 January 2020 will have a serious impact for privacy rights and consumer protection not only for residents of California but for the whole nation as the law is frequently presented as a model for a federal data privacy law.
Smith, Microsoft’s president, compared the face recognition technology to products like medicines that are highly regulated, and he urged Congress to study it and oversee its use.“We live in a nation of laws, and the government needs to play an important role in regulating this technology,” Mr. Smith wrote.
Privacy and civil rights concerns have escalated in the country as face recognition gains traction as a law enforcement tool and on 6 May 2019, San Francisco took a has voted to ban facial recognition.
So, stay tuned for the outcome of all these discussions in the U.S. More on biometric data protection laws in 2019 (EU, UK and US perspective) in our biometric data dossier.
government however approved the use of the country's biometric EID program by private entities on 28 February 2019.
As both ambassadors and guardians of data protection regulation, the post of data protection officer has become necessary for businesses and a much sought-after role.
It's very much the spirit of Gemalto Assurance Hub where geolocation, ip-addresses (the device being used) and keying patterns can create a strong combination to securely authenticate users for on-line banking or egovernment services.
Amazon launches Personalize, a fully managed AI-powered recommendation service
Amazon today announced the general availability of Amazon Personalize, an AWS service that facilitates the development of websites, mobile apps, and content management and email marketing systems that suggest products, provide tailored search results, and customize funnels on the fly.
And the best part is that these artificial intelligence services, like Amazon Personalize, do not require any machine learning experience to immediately train, tune, and deploy models to meet their business demands.”
Personalize, which was announced last year at Amazon’s re:Invent conference, is a fully managed service that trains, tunes, and deploys custom machine learning models in the cloud by provisioning the necessary infrastructure and managing things like data processing, feature extraction, algorithm training and optimization, and hosting.
Domino’s, Yamaha, Subway, Bollywood on-demand video host Spuul, and wedding company Zola are already using Personalize to highlight musical instruments in store catalogs, deliver ingredient and flavor recommendations, and devise individualized style combinations.
Personalize is the latest fully managed AWS service to hit general availability after Textract, which uses machine learning to parse data tables, forms, and whole pages for text and data.
- On 13. april 2021
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