As firms demand more data to find alpha, better manage risk, and more efficiently handle regulatory needs, they are having to turn to artificially-intelligent tools, namely, algorithms that ...

This ebook, based on the latest ZDNet / TechRepublic special feature, advises CXOs on how to approach AI and ML initiatives, figure out where the data science team fits in, and what algorithms to buy ...

Neural architecture search (NAS) and machine learning optimisation represent rapidly advancing fields that are reshaping the way modern systems are designed and deployed. By automating the process of ...

Deep learning has yielded some fantastic results for basic natural language processing (NLP) functions such as named entity recognition (NER), document classification and sentiment analysis — not to ...

In the aptly titled State of AI Report 2019 published on June 28, Benaich and Hogarth embark on a 136-slide long journey on all things AI: technology breakthroughs and their capabilities, supply, ...

Natural language processing (NLP) is a field of study that focuses on enabling computers to understand and interpret human language. NLP involves applying machine learning algorithms to analyze and ...

Natural language processing (NLP) is important because it enables machines to understand, interpret and generate human language, which is the primary means of communication between people. By using ...

It’s no secret that machine-learning models tuned and tweaked to near-perfect performance in the lab often fail in real settings. This is typically put down to a mismatch between the data the AI was ...

As the Vice President of Building Design Strategy at Autodesk, Vikram Dutt has held various roles, from Industry Strategy and Marketing to Product and Strategic Planning and Operations. He is joined ...