AI Under the Hood: Interactions

We asked our friends over at Interactions to do a deep dive into their technology. Mahnoosh Mehrabani, Ph.D., Interactions’ Sr. Principal Scientist shared some fascinating information about how Interactions’ Intelligent Virtual Assistants (IVAs) leverage advanced natural language understanding (NLU) models for “speech recognition” and “advanced machine learning.” The company uses NLU models to help some of today’s largest brands to understand customer speech and respond appropriately.

AI Under the Hood: Mixing Things Up – Optimizing Fluid Mixing with Machine Learning

Fluid mixing is an important part of several industrial processes and chemical reactions. However, the process often relies on trial-and-error-based experiments instead of mathematical optimization. While turbulent mixing is effective, it cannot always be sustained and can damage the materials involved. To address this issue, researchers from Japan (Tokyo University of Science) have now proposed an optimization approach to fluid mixing for laminar flows using machine learning, which can be extended to turbulent mixing as well.

AI Under the Hood: Object Detection Model Capable of Identifying Floating Plastic Beneath the Surface of the Ocean

A group of researchers, Gautam Tata, Sarah-Jeanne Royer, Olivier Poirion, and Jay Lowe, have written a new paper “DeepPlastic: A Novel Approach to Detecting Epipelagic Bound Plastic Using Deep Visual Models.” The workflow described in the paper includes creating and preprocessing a domain-specific data set, building an object detection model utilizing a deep neural network, and evaluating the model’s performance.

AI Under the Hood: FunCorp.

In this new edition of our popular “AI Under the Hood” column, FunCorp Co-founder and CIO Denis Litvinov does a deep dive into his company’s use of AI on social media networks. AI is a key component of the popular social networks you use every single day. FunCorp develops and operates UGC services for different geo and audience niches.

AI Under the Hood: Flippy the Robot

In this installment of “AI Under the Hood” I introduce “Flippy” by Miso Robotics. Flippy works in fast-food kitchens, operating a frying station for example. The product was decades in the making in terms of research in robotics and machine learning. Flippy is an amalgamation of motors, sensor, chips and processing power that wasn’t possible until just the past few years. The robotic arm is poised to become a regular fixture in high-volume kitchens nationwide in the coming year.

AI Under the Hood: DecorMatters

In this installment of “AI Under the Hood” I introduce Silicon Valley-based DecorMatters, a compelling creativity-sharing ecosystem that brings together interior designers and furniture shoppers to make any home renovation project easier and more affordable. Founded in 2016, DecorMatters is powered by augmented reality and AI technology, and is redefining the interior design and furniture shopping experience. The design platform is a place to create and share, as well as socialize and shop.

AI Under the Hood: Playform

In this installment of “AI Under the Hood” I introduce recently launched Playform (Artrendex Inc.), a generative AI collaborative tool for artists. The company’s tech publicist reached out to me around when the global pandemic became serious, so it’s taken a while for me to write this review. But I was impressed with all the materials the company provided me for making a technology assessment. As a previous researcher myself, I’m always excited when a company sends me a link to an paper written by a founder. Nice touch!

AI Under the Hood: causaLens

In this installment of “AI Under the Hood” I introduce causaLens, a London-based deep tech company building a machine that predicts the global economy in real-time. The company’s Growth Analyst reached out to me on LinkedIn, and I liked what I learned from the materials I received.

AI Under the Hood: Kaskada, Inc.

In this installment of “AI Under the Hood” I introduce Kasakda, Inc., a Seattle-based early stage company founded in January 2018. Kaskada is a machine learning platform for feature engineering using event-based data. Kaskada’s platform allows data scientists to unify the feature engineering process across their organizations with a single platform for feature creation and feature serving. If you’re a data scientist Kaskada solutions are definitely worth a close look.