Learn, discover, and explore everything you need to know about localization
Here at Lilt, we’re passionate about helping localization leaders tackle big challenges and move the industry forward. Internally, we’re just as focused on building a culture of inspiring and motivated individuals to help build the foundations to make that a reality. In our Employee Spotlight series, we’re excited to highlight the talented Lilt employees (or Liltonians, as we like to call ourselves) that have helped us get to where we are now.
Here at Lilt, we’re focused on providing the highest quality translations possible, and that requires a large professional network of translators. We've spent years building a community of experienced and quality translators, and we're excited to showcase the incredible individuals helping to lead the charge. Much like our Employee Spotlight series, we're sharing the backgrounds of the talented professionals in our community in our newest series, the Translator Spotlight Series.
Ignoring globalization in management decisions is no longer an option, and without understanding what globalization is, organizations are creating hindrances that can (and should) be avoided.
What is an Artificial Neural Network? We rely on computers to perform tasks at an exponentially faster rate than the majority of humans can accomplish. Whether it’s crunching the numbers in a long mathematical sequence or compiling a vast database, a computer will always have the edge. However, human brains are remarkable - we can understand abstract ideas, formulate relatively sound decisions, and create new concepts through imagination. However, we may not retain this sole advantage for much longer. Loosely modeled off of our brain's structure, developers have crafted an artificial intelligence-based interconnected network - artificial neural networks. An artificial intelligence network is a powerful tool designed to learn and reason, drastically shaping our future. In this article, we’re going to explain what an artificial neural network is (with examples and use cases) and how companies use neural networking technology to grow.
Deep Learning vs Machine Learning: What is the Difference? As artificial intelligence (AI) continues to move into our everyday lives, understanding all of the different facets that create the technology can seem daunting. After enough digging, though, we can begin to uncover the main subsets that form AI. Then, we can take a closer look at AI vs machine learning vs deep learning. So, is deep learning machine learning? Today, we're going to answer what constitutes each subset and what is meant by deep learning. After learning the difference between artificial intelligence vs machine learning vs deep learning, you'll be able to understand which one is right for your business and what opportunities each has to offer.
As a translator in a time when technology is constantly evolving, it would be easy to think that the industry is constantly evolving and changing too. However, you would be hard-pressed to find a more stationary industry. We still use dictionaries, but those dictionaries have moved from bent and stuffed shelves to online databases or applications. We still translate without smart programs, but rather than an empty piece of paper, we look at an empty Word document. And then, we have what is likely the biggest advantage of the modern technological world of translation: CAT tools. Historically, these have been divided into the Big 3, and as is standard for their time, they are desktop applications made for just one type of OS. Windows, specifically, so if you have a Mac, tough luck.
