Oct 15, 2020

Amazon Translate tops machine translation ranking

Amazon
amazon translate
Machine Learning
translation
William Smith
2 min
Tech giant Amazon’s Amazon Translate service uses neural deep learning models to automatically localise content
Tech giant Amazon’s Amazon Translate service uses neural deep learning models to automatically localise content...

Tech giant Amazon’s Amazon Translate service uses neural deep learning models to automatically localise content.

The benefits of such an approach include both more accurate and more natural sounding translations, as compared to traditional, more literal approaches.

As a non-static model, Amazon says the solution is continually improving its capabilities across areas such as language localisation, analytics and real-time translation for use in areas such as customer service.

The service has now been ranked #1 in a report by Intento, an organisation that assists enterprises with AI procurement, which looked at the top 15 machine translation providers. While it didn’t come out top for all the language pairs, industry sectors and content types the solutions were assessed for, Amazon’s offering nevertheless had the highest number of wins, followed by Google in second place.

In a blog post, Greg Rushing, US Air Force Fellow in Amazon’s BRIDGE program, said: “The data used included examples from across 16 industry sectors, with 8 content types, including topics such as financial documentation, patents, sales and marketing material. These inputs were translated between 14 common language pairs to determine the best engine for a given translation scenario. It ranked the results of each MT engine based on how they compared to a reference human translation.”

Amazon also uses Translate in a consumer-focused setting, with its own Alexa smart assistant, which is likely the area where most will be familiar with the system. With Alexa speaking eight languages, Amazon uses Translate to understand questions asked by users without needing eight duplicate, hard-coded rules for each language.

In another blog post, Heike Schirme, Senior Manager at Amazon Alexa, said: “Instead of manually translating thousands of utterance lists offline, Alexa uses [Amazon Translate] to translate utterances instantly and on demand. If an utterance in one language doesn’t map to a given intent, Alexa translates the message to English and sends it again for a second attempt.” 

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Jun 22, 2021

HPE Acquires Determined AI to Accelerate ML Training

AI
ML
hpe
DeterminedAI
2 min
With Determined AI's solution, HPE is furthering its mission in making AI diverse and empowering ML engineers to build AI models at a greater scale

Hewlett Packard Enterprise (HPE), a global edge-to-cloud company that helps organisations unlock value from their data, has acquired open-source artificial intelligence (AI) startup Determined AI.

Determined AI is a four-year-old company, which only brought its product to market in 2020. It specialises in machine learning (ML), with the aim of training AI models quickly and at any scale. HPE will combine Determined AI’s unique software solution with its AI and high-performance computing (HPC) offerings to enable ML engineers to easily implement and train ML models to provide faster and more accurate insights from their data in almost every industry.  

“As we enter the Age of Insight, our customers recognise the need to add machine learning to deliver better and faster answers from their data,” said Justin Hotard, senior vice president and general manager, HPC and Mission Critical Solutions (MCS), HPE. “AI-powered technologies will play an increasingly critical role in turning data into readily available, actionable information to fuel this new era. Determined AI’s unique open source platform allows ML engineers to build models faster and deliver business value sooner without having to worry about the underlying infrastructure. I am pleased to welcome the world-class Determined AI team, who share our vision to make AI more accessible for our customers and users, into the HPE family.”

Delivery AI at scale

According to IDC, the accelerated AI server market, which plays an important role in providing targeted capabilities for image and data-intensive training, is expected to grow by 28% each year and reach $18bn by 2024.

The computing power of HPC is also increasingly being used to train and optimise AI models, in addition to combining with AI to augment workloads such as modeling and simulation. Intersect360 Research notes that the HPC market will grow by more than 40%, reaching almost $55bn in revenue by 2024.

“Over the last several years, building AI applications has become extremely compute, data, and communication intensive. By combining with HPE’s industry-leading HPC and AI solutions, we can accelerate our mission to build cutting edge AI applications and significantly expand our customer reach.” said Evan Sparks, CEO of Determined AI.

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