Data is the fuel that powers artificial intelligence (AI), but it needs to be refined and processed before it can generate value.

The 2023 State of Machine Translation report analyzes the performance of 37 MT Engines across 22 language pairs and 9 content domains, providing the latest overview of the rapidly evolving MT landscape.

Read now to explore the privacy challenges in Conversational AI, data protection, consent management, secure data storage, and more.

From deciphering highly-varied dialects and accents to securing voice data from breaches and misuse, developers face an arduous journey creating systems capable of responding to the spoken word.

Language skills don't just support communication; they shape your child's entire cognitive framework. Explore the remarkable effects of early language exposure on brain development and discover how it sets the stage for lifelong success.

Traditional STEM fields like computer science and math will always be important in AI, but they’re not the only ones. Check out our blog post to discover the unexpected subjects which can help you contribute to AI.

From Nazi code-breaking to wondering if machines think - see how Alan Turing, John McCarthy, and Marvin Minsky shaped the future of AI.

Natural language processing (NLP) is the rapidly growing branch of artificial intelligence aimed at helping machines “understand“ human voice or text data - but for companies looking to capitalize on its capabilities, there are challenges to overcome. Explore the top 5 here.

While it's true that AI tools can automate repetitive or simple tasks, we believe that, by creating new opportunities and demand for skilled labor, artificial intelligence tools will ultimately have a positive impact on the job market.

LLMs are ushering in a massive number of new opportunities for businesses and for society at large, and in this post we discuss some of the most important and exciting of these opportunities.