Nine videos were accepted to the IJCAI video competition. We’ll update you on the winners as soon as we hear back from the conference. In the meantime – you can view the videos below or here.

#IJCAI2019 ended today. Besides talks, panel discussions, and presentations; the winners of this year’s prestigious IJCAI awards shared their opinions about relevant future directions in the field.

Meet Claus Aranha, Assistant Professor at the University of Tsukuba, Center of Artificial Intelligence Research (C-AIR).

The team behind the Libratus program were today announced as the latest recipients of the Marvin Minsky Medal, given by the IJCAI organisation for Outstanding Achievements in AI. Libratus made headlines in January 2017 when it beat a team of champion human poker players in a 20-day no-limit tournament.

The main IJCAI2019 conference started on August 13th. The organizers gave the opening remarks and statistics, and announced the award winners for this year.

Here’s our daily update in tweets, live from IJCAI (International Joint Conference on Artificial Intelligence) in Macau. Like yesterday, we’ll be covering tutorials and workshops.

The first two days at IJCAI (International Joint Conference on Artificial Intelligence) in Macau were focussed on workshops and tutorials. Here’s an overview in tweets.

Allen School professor Pedro Domingos has been selected as the 2019 recipient of the John McCarthy Award from the International Joint Conference on Artificial Intelligence (IJCAI). The award, which is named for one of the founders of the field of AI, recognizes established, mid-career researchers who have amassed a track record of significant research contributions that have been influential in advancing the field. Domingos is being honored by the IJCAI for his multiple contributions in machine learning and data science and for advancements in unifying logic and probability.

IJCAI, the 28th International Joint Conference on Artificial Intelligence, is happening from the 10th to 16th August in Macao, China. We’ll be posting updates throughout the week thanks to our AIhub Ambassadors on the ground. Stay tuned.

PhD candidate Michelle A. Lee from the Stanford AI Lab won the best paper award at ICRA 2019 with her work “Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks”. You can read the paper on arxiv here.

Audrow Nash was there to capture her pitch.