Posts in category

Machine Learning


Getting the job you want requires you to stand out to potential employers—especially in the current job market. Recently I did just that by building a conversational chatbot on Google Cloud that answers questions about my professional experience (plus some surprises). Not only did I stand out, but I learned how to build and host …

By using both human and machine-generated translations, key health phrases can be translated into local languages spoken all over the world. You might not know, but there are currently 7,117 languages spoken in the world. Not dialects, but living languages! However, much of the world’s digital media is available in only a couple dozen languages, and …

Lawrence Livermore National Laboratory (LLNL) computer scientists have developed a new deep learning approach to designing emulators for scientific processes that is more accurate and efficient than existing methods. In a paper published by Nature Communications, an LLNL team describes a “Learn-by-Calibrating” (LbC) method for creating powerful scientific emulators that could be used as proxies …

Human language can be inefficient. Some words are vital. Others, expendable. Reread the first sentence of this story. Just two words, “language” and “inefficient,” convey almost the entire meaning of the sentence. The importance of key words underlies a popular new tool for natural language processing (NLP) by computers: the attention mechanism. When coded into …

Artificial Intelligence has powerfully penetrated the way we live. It doesn’t only change the way we work but also reshaped how we used to live. Speaking of AI, it is one of the most interesting technologies that we’ve ever encountered. Without a doubt, AI is contributing a lot in boosting business and IT productivity. Therefore, …

If everything moved 40,000 times faster, you could eat a fresh tomato three minutes after planting a seed. You could fly from New York to L.A. in half a second. And you’d have waited in line at airport security for that flight for 30 milliseconds. Thanks to machine learning, designing materials for new, advanced technologies …

The hype around AI is growing rapidly, as most research companies predict AI will take on an increasingly important role in the future. While business leaders are very interested in leveraging machine learning technology, there’s a talent shortage standing in the way. It turns out that there are very few developers that have the skills …

The significance of artificial intelligence and machine learning (AIML) has increased by much in technology in recent years. It has gone to a point where they are helping businesses gain an advantage over their competitors. With the ever-increasing volumes of data generated each day, it becomes essential to process it in real-time. This is where AIML comes into the picture …

Companies in EMEA are lagging behind their global counterparts when it comes to artificial intelligence (AI) and machine learning (ML) implementation, with just one in eight organisations (12%) able to boast mature capabilities – compared to one in six (17%) worldwide. This leaves the vast majority (88%) either at the early stages of exploring the …

Scientists are combining artificial intelligence and advanced computer technology with biological know how to identify insects with supernatural speed. This opens up new possibilities for describing unknown species and for tracking the life of insects across space and time Insects are the most diverse group of animals on Earth and only a small fraction of …