Multimodal classification research has been gaining popularity in many domains that collect more data from multiple sources including satellite imagery, biometrics, and medicine. However, the lack of consistent terminology and architectural descriptions makes it difficult to compare different existing solutions. We address these challenges by proposing a new taxonomy for describing such systems based on trends found in recent publications on multimodal classification. Many of the most difficult aspects of unimodal classification have not yet been fully addressed for multimodal datasets including big data, class imbalance, and instance level difficulty. We also provide a discussion of these challenges and future directions.

AI isn't science fiction or a future technology we're waiting to adopt. It is, right now, affecting every aspect of our daily lives, and that includes how we develop applications, products, and services. Every few years, there's a new buzzword technology that drives mass hype as it promises to disrupt the status quo: software, mobile, IoT, 3D printing, virtual reality, blockchain. In 2016, every company desperately wanted to latch on to artificial intelligence (AI). So while the earliest innovators (think Alan Turing) were studying how computers could mimic humans in the 1950s, we just recently witnessed a hype cycle triggered by the potential for AI to cause the next generational shift in computing.

The technology landscape changed immensely in 2016–especially among the players that influence the digital marketing and advertising environments. Five key technologies played a hand in this year's advancements, but the speed of progress for each varied, and not all lived up to expectations. With the familiar traffic light as our analogy, let's take a deeper look and also consider what 2017 has in store for all of them. I've given each area an objective (but unscientific) status value based on my own observations through the year, defined as follows: From Advertising To Experience Current landscape: Research suggests that U.S. consumers are exposed to between 3,000 and 5,000 commercial messages daily. Little wonder that marketers, who are investing a lot of money and effort in marketing campaign development, still struggle to break through the noise.