As I rev up for all things AI in 2023, I wanted to take a quick look back at my favorite stories, large and small, that I covered in 2022 — starting with my first few weeks at VentureBeat back in April. In August, I enjoyed getting a look at a possible AI hardware future. That’s what Logan Wright and Tatsuhiro Onodera, research scientists at NTT Research and Cornell University, envision: a future where machine learning (ML) will be performed with novel physical hardware, perhaps based on photonics or nanomechanics. These unconventional devices, they say, could be applied in both edge and server settings. My 13 favorite AI stories of 2022 | The AI Beat | VentureBeat