Natural Language Generation from Structured Data

By Daljeet Virdi (, UIUC), Dileep Pasumarthi (Microsoft Bing, UIUC), and Dickey Singh. This is an updated and edited version of the article we published here in January 2020. Natural Language Generation from Structured Data Over the past few years, rapid improvement in state-of-the-art (SOTA) general language models (BERT, GPT-2, GTP-3, XL-Net, etc. and BERT-forks like […]

Data- vs. intuition-driven Decisions

Business decisions People in businesses make many decisions, ranging from high-profile decisions that define the future, to ones that define the culture, to many ad-hoc decisions that collectively contribute to how the company performs usually guided by the values it stands for. Decision Types McKinsey categorizes decisions based on risk, familiarity, and decision-making frequency. Company-defining […]

Deep fakes and 2020 elections

I’m here at the TechCrunch Robotics and AI conference (#TCRobotics) in Berkeley and the topic of deep fakes was being discussed at a panel. The conversation of deep fakes in 2020 US elections was interesting in a panel with Alexei Efros (UC BerKeley) and Hany Farid (Dartmouth College.) AI synthesized fake What we have been […]

Organizations accepting AI and ML papers

ML and AI paper submissions need to be made much more accessible.  Everyone is talking about AI.  They are using scandolous stock photos, but that is because no one can understand your research. 😉 Please do not assume math PhDs and rocket scientists as audiences. If including code and data is not possible because of […]