Amazon Web Services (AWS) is the world’s leading cloud provider, and this week during its AWS Re:Invent conference in Las Vegas, the company unveiled new offerings that may not only help it stay on top, but also push cloud-based artificial intelligence (AI) workloads further into the IT mainstream. AWS unveiled no less than five new […]
Amazon Web Services (AWS) is the world’s leading cloud provider, and this week during its AWS Re:Invent conference in Las Vegas, the company unveiled new offerings that may not only help it stay on top, but also push cloud-based artificial intelligence (AI) workloads further into the IT mainstream.
AWS unveiled no less than five new machine learning services at Re:Invent, plus what Amazon claims is the first developer-focused, deep learning-enabled video camera. Dubbed AWS DeepLens, the offering combines hardware, on-board AI processing and cloud connectivity, allowing developers to train their world-sensing AI models out in the wild.
Protecting your company’s data is critical. Cloud storage with automated backup is scalable, flexible and provides peace of mind. Cobalt Iron’s enterprise-grade backup and recovery solution is known for its hands-free automation and reliability, at a lower cost. Cloud backup that just works.
On the hardware front, AWS DeepLens includes a Wi-Fi-connected 4 megapixel, 1080P camera, an Intel Atom processor, 8 GB of memory and a 2D microphone array. The hardware runs Ubuntu 16.04 ships with Greengrass Core, software that enables IoT interoperability. It also includes an optimized version of the MXNet deep learning framework and Intel’s clDNN library, which helps accelerate AI processing on Atom chips.
For AI developers who want to hit the ground running, Amazon is also offering pre-trained face and object recognition models. These components form a system that can turn the world at large into an AI testbed, according to Jeff Barr, chief evangelist at AWS.
“All of this hardware, software, and data come together to make the AWS DeepLens a prime example of an edge device,” blogged Barr. “With eyes, ears, and a fairly powerful brain that are all located out in the field and close to the action, it can run incoming video and audio through on-board deep learning models quickly and with low latency, making use of the cloud for more compute-intensive higher-level processing. For example, you can do face detection on the DeepLens and then let Amazon Rekognition take care of the face recognition.”
AWS DeepLens hardware costs $249.00 and is slated to ship on April 14, 2018. Amazon is currently accepting preorders here.
Amazon Rekognition Video is a new deep-learning based video recognition system that allows developers to add object, scene and facial recognition, among several other parameters, to their video-based applications. Another new AI offering from AWS is SageMaker, a toolset that accelerates the machine learning model building, training and hosting process, allowing businesses to quickly add AI capabilities to their production applications. SageMaker is made up of hosted Jupyter notebook IDEs (integrated development environments), a distributed system for model building, training and validation, and finally, a hosting component with HTTP endpoints.
The AWS AI suite has also developed a knack for languages.
Amazon Translate is a new, real-time neural machine language translation service that can be linked with other services like AWS Elasticsearch for multi-language search and Amazon Lex for translation chatbots. The company’s new continuously-trained natural language processing service, called Amazon Comprehend, analyzes text, identifies entities, gauges sentiment and extracts topics from text-based information.
Finally, Amazon Transcribe is an automatic speech recognition service allows developers to add speech-to-text capabilities to their applications. For now, the preview service can transcribe speech in English and Spanish.
Pedro Hernandez is a contributing editor at Datamation. Follow him on Twitter @ecoINSITE.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Pedro Hernandez is a contributor to Datamation, eWEEK, and the IT Business Edge Network, the network for technology professionals. Previously, he served as a managing editor for the Internet.com network of IT-related websites and as the Green IT curator for GigaOM Pro.
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Property of TechnologyAdvice. © 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.
