For the first birthday of Microsoft Copilot, Microsoft laid out a roadmap of additional features that it plans to add, including a more sophisticated language model and better ways of generating AI art. Microsoft plans to add these things to Copilot, which is now the company's catchall term for its large language model chatbots on the web, on Windows, and in Microsoft 365. Of particular interest is the imminent addition of GPT-4 Turbo, notable for two things: an information cutoff of April 2023 as well as the ability to handle 128k of input (or about 300 pages of text.) The feature is currently in testing, Microsoft said. Still, there is a cutoff -- and to solve that problem, Microsoft is launching Deep Search.

Recently we wrote about how the'popular' Watson of Jeopardy fame still lingers in the memories of our non-data scientist colleagues and perhaps misleads them about the capabilities of AI. It's time we got in tune with the modern Watson, or more correctly IBM's Watson Group and its Watson platform and took a look at all there is to offer. There are three broad capabilities in today's AI and they are: Image and video processing: Largely driven by Convolutional Neural Nets (CNNs) this field has been getting most of the press with capabilities like facial and object recognition. Text and speech processing: This is generally known as Natural Language Processing (NLP), the capability to not only intake speech and text but to understand the nuanced context of strings of words, to perform search or translation on them, and output words and blocks of text and speech. Siri, Alexa, and Cortana represent examples of this field that used to be the butt of jokes but are now more than commercially acceptable. This field has been largely driven by Recurrent Neural Nets (RNNs).