Blog Layout
Emaww.ai API Finds Emotion From Touch
| May 10, 2020
Emaww.ai is perhaps one of the most exciting API related projects I have come across throughout my research into the field. The AI computes emotional intelligence from touch and swipes on devices.
In fact, the website you are viewing is using it! Emaww.a cleverly can detect 4 basic emotional states: Awe, Interest, Dislike, and Scurry. The project is headed by academic Alicia Heraz, who has been keeping me updated on their progress.
Back in late 2015, I researched and wrote a comprehensive list of Emotion Recognition APIs. It was so thorough that PepsiCo enlisted me to help inform their innovation division through a consulting sprint.
Since then, I have been keeping a careful eye on this field, as I find it fascinating. For years, emotion recognition software has relied on intrusive facial and voice recognition. I believe that touch is a better, less-intrusive alternative, with many potential marketing, medical, and financial use cases.
The Kubernetes ecosystem has exploded with managed platforms tailored to multi-cloud, edge, on-prem, and regional deployments.
Some internal projects are too good to stay hidden. For DirectorPlus, Spotify's Pia Nilsson shares how to identify and externalize internal platforms — like they did with Backstage.
My latest feature for InfoWorld looks into the gaps surrounding AI-generated code and what leaders believe we need to improve the status quo.
New research shows LLMs outperform humans in software requirements engineering, reducing weeks of work to seconds while improving completeness by 10.2%.
Containers are designed to be isolated—that's great for security but tricky for networking. My feature with InfoWorld explores how eBPF is evolving container networking.
I recently synced with Camden Swita, Head of AI and ML Innovation at New Relic, to see how software engineers are implementing agentic AI in practice.
The 2nd annual code quality report from GitClear found 10x more duplicated code than two years ago and fewer signs of code reuse than ever before.
My feature on InfoWorld explores the state of Kubernetes usability, highlighting various advancements across workload types, support for edge and AI, and new features like observability and security.
It's up to leadership to help prioritize large-scale engineering updates that keep software running smoothly. Kent Wills, Director of Engineering at Yelp, provides insight on the latest DirectorPlus.
Italian for “tapestry,” Arazzo is aptly named since it can be used to weave together sequences of API calls to illustrate a specific business pattern.
