Ioana Boier

The biggest IT story in the last decade is how falling compute costs have enabled new modeling techniques that were previously impractical, such as machine learning and deep neural networks. But what is the state of ML and AI (even transformers?) for time series, and where are things heading?

GPT-4 and other generative AI could be creating a watershed moment for the software development life cycle. In everything from Python to C++ and even VHDL/FPGA, large language models (LLMs) are starting to help with code generation, reviews, documentation, and testing—including creating data sets to probe the edges of algorithms.