TELUS International, a digital customer service pioneer that develops, creates, and produces next-generation technologies for multinational and innovative brands, has completed the previously discussed acquisition of Lionbridge AI, the company's artificial intelligence (AI) subsidiary. On December 31, 2020, the contract was concluded. TELUS International is a branch of TELUS Group, a major telecom and information technology organization headquartered in Canada. As the organizations collaborate to promote the increasingly evolving domain of artificial intelligence, Lionbridge AI will supplement TELUS International's evolving range of next-generation digital solutions. The sale of Lionbridge AI will bolster Lionbridge's determination to providing creativity for its core language customers throughout technology, life sciences, gaming, digital commerce, and more.

TELUS International announced that it would buy Lionbridge's artificial intelligence business unit in a deal worth US$935 million that is expected to close by December 31st. Let's first explain what Lionbridge AI does, review the deal, analyze what it means to the language services and technology sector, and show what it represents to investors. Here's a quick synopsis: Lionbridge's private equity investor will sell a non-core business unit for a sizeable return on its 2017 purchase price, thus allowing it to position the core language service business as a pureplay LSP - and maximize the value of its remaining asset in one of several ways. Lionbridge AI is a business unit of Lionbridge Technologies (#2 in CSA Research's 2020 global list of leading LSPs) that processes multilingual data used in training artificial intelligence algorithms – that is, human-annotated data for text (for example, semantic, sentiment, intent, named entities like places, company names, and phone numbers), images (captions, keywords), audio (transcription and time stamps), videos (outlining objects – think of the incessant reCAPTCHA challenges to prove you're not a robot). "Processing" takes a variety of forms.

Machine learning is an intimidating topic to tackle for the first time. The term encompasses so many fields, research topics and business use cases, that it can be difficult to even know where to start. To combat this, it's often a good idea to turn to textbooks that will introduce you to the basic principles of your new field of research. This holds true for AI and machine learning, especially if you have a background in statistics or programming. When used alongside more focused online articles like our introduction to training data, they can be an essential part of a powerful toolkit with which to learn and grow.

Welcome to the February edition of our best and favorite articles in AI that were published this month. We are a Paris-based company that does Agile data development. This month, we spotted among others, articles about AI that can diagnose breast cancer with higher accuracy than experts! Let's start, as usual, with the comic of the month: A recent evaluation of a AI system for breast cancer screening concludes that it is capable of surpassing human experts in breast cancer prediction. It is essential to identify breast cancer at earlier stages of the disease when treatment can be more successful.

Data is the bedrock of all machine learning systems. As such, working with the right data collection company is critical in order to solve a supervised machine learning problem. If you don't have a particular goal or project in mind, there is a wealth of open data available on the web to practice with. However, if you're looking to tackle a specific problem, chances are you'll need to collect data yourself or work with a company that can collect data for you. There are many data collection companies that provide crowdsourcing services to help individuals and corporations gather data at scale.

At Lionbridge, we have deep experience helping the world's largest companies teach applications to understand audio. From virtual assistants to in-car navigation, all sound-activated machine learning systems rely on large sets of audio data. This time, we at Lionbridge combed the web and compiled this ultimate cheat sheet for public audio datasets for machine learning. AudioSet: AudioSet is an expanding ontology of 632 audio event classes and a collection of 2,084,320 human-labeled 10-second sound clips drawn from YouTube videos. LibriSpeech: LibriSpeech is a carefully segmented and aligned corpus of approximately 1000 hours of 16kHz read English speech, derived from read audiobooks. Spoken Digit Dataset: This dataset was created to solve the task of identifying spoken digits in audio samples.

American localization specialist Lionbridge Technologies has been employing machine translation tools for many years. Eventually, its customers started asking for multilingual training data. Today, Lionbridge has a separate division entirely dedicated to AI, doing everything from collection of chatbot training data to image annotation, audio transcription and even multilingual content moderation services. To find out more about the work of the division, AI Business talked to Aristotelis Kostopoulos, vice president of product solutions, artificial intelligence at Lionbridge. Q: The AI division at Lionbridge grew out of the machine translation business, but today it does so much more.

Whether you're a parent trying to make ends meet, a broke college student in need of extra cash or everything in between, working online jobs could help alleviate financial stress. For those of you looking for remote jobs to work from home, this article will introduce the top online jobs for moms, or anyone looking for an additional source of income. The following jobs include positions available at Lionbridge and Gengo and are subject to change. Are you multilingual with expert to native fluency in two or more languages? If so, you're in luck because online translation jobs are both plentiful and frequently available. Operating from Tokyo, Japan, Gengo is an industry-leading provider of translation services.

Within the field of autonomous vehicles, drones are currently one of the hottest topics in computer vision. With great potential to revolutionize the transportation and delivery industries, companies like Amazon are seriously investing in the research and development of drone technology. At Lionbridge, we help AI engineers power computer vision in drones with high-quality aerial imagery and image annotation services. We are your trusted supplier of AI training data, helping you create the innovative drone tech of tomorrow. To help drones accurately detect objects on the ground, avoid collision with objects in their flight path, recognize landing zones, and more, we provide a wide array of image annotation services for drones and aerial imagery.

In this Oct. 31, 2018, photo, a screen displays a computer-generated image of a Watrix employee walking during a demonstration of their firm's gait recognition software at their company's offices in Beijing. A Chinese technology startup hopes to begin selling software that recognizes people by their body shape and how they walk, enabling identification when faces are hidden from cameras. Already used by police on the streets of Beijing and Shanghai, "gait recognition" is part of a major push to develop artificial-intelligence and data-driven surveillance across China, raising concern about how far the technology will go. As many businesses prepare for the coming year, one of the key priorities is determining best use case and strategic implementation of artificial intelligence as it applies to the core competencies of the company. This is a fairly challenging area on a variety of levels. But as this work occurs, one of the most important narratives in the arena is also further coming to light.