AI struggles to write a good jingle. You'd be forgiven if you can't hum the 18th-century Cumbrian folk song "Do Ye Ken John Peel." But in 1942, a version of that tune, reworked with lyrics about Pepsi-Cola, was the most recognized melody in America. Three years earlier, two men walked into the office of Pepsi-Cola's president, carrying a phonograph. They played a demo of what would become one of America's earliest advertising jingles.

Heralded as the ChatGPT for music, Suno AI is the latest iteration of generative artificial intelligence to flood social feeds, wowing users with its (ahem) lyrical prowess. Plug in the musical style you want, a genre and a prompt for lyrics and Suno can spit out a full song for you in a matter of seconds. The business has been around for two years, formulated by a group of machine learning experts in Cambridge who struck an interest in audio, according to a profile in Rolling Stone last month. From the outset, making silly songs is slightly addictive. The lyrics might seem shallow and soulless, but they're also often hilarious.

An NTHU interdisciplinary research team led by Associate Professor Wu Shan-hung of the Department of Computer Science, Associate Professor Liu Yi-wen of the Department of Electrical Engineering, and Chair Professor Chang Cheng-shang of the Institute of Communications Engineering has recently developed an automated system for the production of digital advertisements. Based on the information provided by the user, the system generates a variety of images and music, which can be fine-tuned to create the final product, thereby greatly reducing the time and cost of producing an advertisement. This press release features multimedia. A research team led by Wu Shan-hung (left) and Liu Yi-wen of NTHU has developed an AI App for generating catchy ads. Wu and Chang designed a conditional generative adversarial network (CGAN) application which generates an ad based on a large amount of related information harvested from the internet by using artificial intelligence (AI).

Come join us for a night of food, festivities, learning and fun. No TensorFlow meet up would be complete without hearing a few words from Portland's community of AI and Machine learning experts. We have a fascinating panel of guests lined up who will be sharing latest innovations and what they look forward to in 2020.

Scavenger hunts have existed for generations. I've written an app for Amazon's Alexa platform that modernizes scavenger hunts. The premise of the game doesn't change: find ten random items located in your home -- or around your neighborhood -- within an hour. Except that it is Alexa who facilitates the game play. My app is free to enable if you're one of the millions of people who own an Amazon Alexa.

Patrick Stobbs recently sat in a conference room here playing songs from his smartphone, attempting to show how his start-up, Jukedeck, is at the cutting edge of music. The tune sounded like the soundtrack to a 1980s video game. "This is where we were two years ago," he said, looking slightly embarrassed. "And this is where we are now," he continued. He then played a gentle piano piece.