Synthetic intelligence (AI) and machine studying (ML) have been serving to companies develop into extra environment friendly for years now, and their functions are rising seemingly by the day. Given this quick evolution, it’s comprehensible that many organizations aren’t fairly certain tips on how to finest use AI and ML to assist their enterprise.
This was the case at mixi, an organization that provides digital leisure and life-style providers in Japan, together with the “mixi” social networking platform and the cellular sport “Monster Strike.” Round 2018, the mixi workforce turned conscious about AI’s function in shaping the longer term, and determined to take motion to be taught extra concerning the expertise and its potential to assist their enterprise. A giant a part of that was attending an immersive AI and ML coaching at Google Cloud’s Advanced Solutions Lab (ASL), which goals to assist prospects make higher use of AI and ML applied sciences by means of digital or onsite schooling.
For this submit, we spoke with 5 mixi engineers—Rio Watanabe, Tanpopo Group CTO, XFLAG Growth Division; Hidetaka Kojo, Tanpopo Group CTO, XFLAG Growth Division; Harumitsu Shinda, Growth Group Supervisor, Romi Division; Hiroki Kurasawa, Information Advertising Group, Digital Advertising, Advertising Division; and Ryutaro Osafune, Technical Artwork Group, Design Technique, XFLAG Design Division—who joined this coaching on the Google campus in Shibuya, Tokyo, to seek out out extra about this system, what they realized, and the way they’re placing that data into motion.
Making AI the plain alternative for downside fixing
Kojo and Watanabe work as a part of the Tanpopo group dealing with technological growth for the corporate’s XFLAG leisure model. The group’s identify, which suggests “dandelion,” comes from the Japanese culinary custom of putting dandelion decorations on sashimi. It was chosen as a logo of AI’s potential to free engineers from easy duties, identical to putting dandelions on a sashimi manufacturing line.
“I don’t personally work in the AI department, but my work touches on several projects, so I still see the technical side,” Kojo explains. “At mixi, we want to make AI the obvious choice for problem solving, and have been using it as a live tool since around 2018.”
“For example, we used it to get the balance right when adding new cards to the card-fighting game ‘Fight League,’” Watanabe continues. “We created an AI player that behaves similarly to a real player to ensure that the cards’ abilities are appropriate before release (so that we don’t break the game’s balance).”
Outdoors XFLAG’s operations, the corporate’s technical artwork group additionally makes use of ML to assist enhance job effectivity and high quality for artists engaged on sport character artwork. A system known as Generative Adversarial Networks (GAN) makes use of AI in picture creation, and analysis and growth is underway to create new characters for Monster Strike extra effectively.
“Essentially, the challenge is for it (GAN) to learn from thousands of existing character graphics (2D images) and create a brand-new character design ‘draft’ in the style of Monster Strike,” Osafune explains. “It should work as a creative AI to support the design work of our artists.”