What we're about

AppliedAI is a monthly meetup that develops Minnesota’s next generation of experts by educating citizens of all ages in the tools, processes, and applications that are needed to implement solutions that use Artificial Intelligence (AI). The organization runs regular events that involve training, learning and sharing real-world projects where AI is applied to solve problems that impact our lives.

Additionally, we encourage you to subscribe to our Conversation On Applied AI Podcast (https://podcast.appliedai.mn) . We publish new episodes every other week on topics related to Artificial Intelligence and its applications!

Applied AI transitioned from IoTFuse in February 2020. IoTFuse continues to run conferences around the metro area.

What is Artificial Intelligence

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[1] Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".

What is AppliedAI?

Simple. :) It's the real-world applications that these far fetched, big ideas lead to. Some things aroud us that are applications of AI include digital assistants (Google Home, Alexa), self-driving cars, robots, chatbots and many many more!

Who should go AppliedAI Meetups?

This group is a place for anyone who is interesting in learning, sharing and applying Artificial Intelligence to their products and services. It's also for people of all ages just interested in what's going on in the AI space by networking and talking with real-world practitioners of this exciting and new technology.

What happens at AppliedAI Meetups?

• We have speakers and panelists talking about AI in real-world scenarios

• We do demos of AI related projects and explain how they work

• We discuss, where AI has been, where it is today and where it's heading in the future

• We have fun!

Where else can I find you?

Follow us on social media!

Facebook, LinkedIN and Twitter

What are the colors of your logo?

They are derived from the color palette of a few of the first ever AI-generated photos from Google’s Deep Learning tool.

Upcoming events (2)

Considerations for Machine Learning in the Wild

Online event

Moving any technology from theory to practice involves surprises, and machine learning (ML) is no exception. In this presentation, we will share lessons from applying ML in consumer, health care, manufacturing, and industrial applications. We will set the stage with a quick review of the ML pipeline. The remainder of the talk will focus sequentially on each step in the pipeline discussing practical considerations, common mistakes, and relevant tips.

Presenters: Saber Taghvaeeyan & Hamid Mokhtarzadeh

Saber has expertise in machine learning, time-series analysis, and sensor fusion. He enjoys developing end-to-end solutions involving data acquisition, analysis, and visualization. He has led projects in different industries including medical devices, wearable devices, intelligent consumables, food safety, and manufacturing.

Hamid is passionate about navigation systems, estimation, and sensor fusion. He has academic, industry, and teaching experiences all in the area of positioning and navigation, sensor fusion, and software for scientific and engineering applications.

Facial Animation Generation with Applications in Educational Psychology

Abstract:
This talk will present preliminary work in facial animation generation with applications in educational psychology. In the first part, we describe two psychology studies as well as the computer vision techniques and platforms being used. Both studies investigate using conversational agents (CAs) as a way of delivering medical messages to patients. By incorporating CAs in the system, both semantic and emotional information can be delivered, which helps the patients, especially those with low heath and numerical literacy, to get a better understanding of their test results and medical instructions. Human studies were conducted to test the effectiveness of CA. The second part of this talk will discuss the details of a proposed neural network based facial animation synthesis method. By unifying both appearance-based and warping-based methods in an end-to-end training process, the proposed system was able to generate vivid facial animation with highly preserved details. In addition, we integrated this network with another audio speech processing system. We show both qualitatively and quantitatively that the proposed system achieved a higher performance than baseline methods. Finally, another two studies regarding representation learning using adversarial autoencoders, as well as infant gaze direction classification will be briefly reviewed.

Bio:
Kevin Gu is a new employee who just joined 3M CRSL last September. Kevin has a background in Electrical and Computer Engineering, with a focus on image/signal processing during Bachler and Master degree, and computer vision and deep learning in PhD degree. Before joining 3M, Kevin did a summer internship at St. Paul, where he worked with people in CRSL on QR code detection and code migration from C++ to Java on Android device.

Past events (109)

Executing on MLOps To Build AI Products

Online event

Photos (689)

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